This flow-based methodology provides a scalable and efficient way to understand bandwidth consumption without capturing full packet payloads. Flow data can provide an ongoing overview of your network traffic, as seen in Understanding the Difference: Flow Data vs. Packet Capture, making it well suited for continuous, network-wide visibility.

Platforms such as Nagios Network Analyzer (NNA) are able to collect and analyze this flow data, transforming raw traffic summaries into actionable insight that can be reviewed in both real-time and historical contexts.

Top talker analysis directly addresses one of the most critical operational questions in network management: where is the bandwidth being utilized?

Importance of Identifying Top Talkers

Identifying top talkers is fundamental to maintaining network visibility and control. Flow-based analysis supports informed decision-making across three primary operational domains: performance monitoring, security analysis, and capacity planning.

Performance Monitoring

High-volume traffic can saturate network links, increase latency, and degrade application performance. Without visibility into top talkers, performance issues often present as generalized slowness with no clear root cause.

Top Talkers enable administrators to correlate traffic patterns with performance degradation by identifying high-volume hosts, applications, or conversations across interfaces, protocols, and time periods. Because flow data is lightweight and continuously collected, it allows long-term analysis of traffic trends that would be impractical with packet capture alone.

This aligns with the broader distinction between flow data and packet capture: flow data excels at identifying where congestion exists, while packet capture is used later to understand why it exists.

Security Analysis

Top talker behavior can serve as an early indicator of potential security issues. Sudden increases in traffic volume, unexpected high-bandwidth internal hosts, or sustained outbound flows to unfamiliar destinations may indicate compromised systems, lateral movement, or data exfiltration.

Networking tools can help provide visibility into these behaviors through flow analysis and historical comparison. When suspicious traffic patterns are identified at the flow level, administrators can pivot to deeper inspection using packet analysis tools.

Nagios Network Analyzer supports this investigation workflow by integrating with Wireshark and Suricata, allowing analysts to move from flow-based detection to packet-level validation. This dual approach reflects best practices where flow data identifies anomalies and packet capture confirms intent and content.

Capacity Planning

Long-term top talker trends reveal how bandwidth is actually consumed over time, beyond short-lived utilization spikes. Persistent high-volume traffic sources highlight sustained demand and recurring usage patterns that directly inform infrastructure planning.

Using historical flow data enables you to make data-driven decisions around link upgrades, traffic segmentation, and QoS policy implementation. Administrators can track growth across hosts, applications, subnets, and interfaces, ensuring network capacity evolves in line with actual usage rather than assumptions.

Identifying Top Talkers Using Flow Data

Flow data enables scalable top talker identification without the overhead and storage requirements of full packet capture. Traffic can be ranked and analyzed across multiple dimensions, including:

• Source or Destination IP to identify hosts responsible for the highest volumes of sent or received traffic.
• Source–Destination Conversations to highlight bandwidth-intensive communication paths.
• Application or Protocol to determine which services dominate network usage.
• Interface, Subnet, or Autonomous System for boundary-level and link-focused analysis.

Because flow records are time-based, administrators can compare traffic across intervals to identify short-lived spikes, sustained heavy usage, or gradual growth trends. This makes top talker analysis one of the most common and effective entry points for ongoing network analysis.

Visualization and Analysis in Nagios Network Analyzer

Visualization transforms top talker data into actionable intelligence by making traffic patterns immediately understandable. Nagios Network Analyzer provides multiple ways to explore and analyze network traffic behavior, including:

• Ranked tables that present hosts, applications, conversations, and interfaces in descending order by traffic volume, allowing administrators to quickly identify the most significant consumers of bandwidth.
• Time-series graphs that display traffic levels over selected time ranges, making it easier to recognize peak utilization periods, recurring usage patterns, and deviations from established baselines.
• Drill-down views that enable administrators to move from high-level summaries into detailed flow-level analysis, providing granular visibility into specific interfaces, hosts, protocols, or source–destination conversations.

When deeper inspection is required, Nagios Network Analyzer supports exporting traffic data to Wireshark for packet-level analysis and scanning captured traffic with Suricata for security alerting. This integrated workflow allows teams to determine whether high-volume traffic is expected, misconfigured, or indicative of malicious activity, supporting accurate root cause analysis and faster remediation.

Alerting on High-Volume Traffic

Nagios Network Analyzer supports flow-based alerting using clearly defined numerical thresholds. Alerts can be configured to trigger when traffic volumes—measured in bytes, packets, or flows—exceed or fall below expected values based on specific traffic criteria, including:

• Source, destination, or bidirectional traffic, allowing administrators to monitor inbound, outbound, or total traffic volumes and detect abnormal changes affecting network performance.
• Specific IP addresses, networks, or subnets, enabling targeted alerting for critical systems, sensitive network segments, or high-risk external endpoints.
• Ports and protocols, which make it possible to alert on traffic associated with particular services or applications and identify unexpected or unauthorized usage.

This threshold-based alerting model ensures notifications are tied to measurable network impact and observable traffic behavior. By focusing on flow metrics rather than packet inspection or unsupported ranking logic, Nagios Network Analyzer enables reliable, scalable alerting that supports proactive response across large and complex networks.

Summary

Network top talkers provide a focused, high-value perspective on how traffic moves through an environment. By analyzing flow data, organizations can quickly determine which hosts, applications, and conversations consume the most bandwidth and how that usage changes over time. This visibility turns abstract utilization metrics into clear, operational insight.

When top talker analysis is combined with visualization and threshold-based alerting, it enables teams to detect performance degradation, uncover abnormal or risky traffic behavior, and plan infrastructure growth based on real usage patterns rather than assumptions. Flow-based insight supports both immediate troubleshooting and long-term strategic planning, making top talker analysis a foundational technique for modern network operations.

To learn more, visit the Nagios Network Analyzer product page and review the Nagios Network Analyzer 2026 update.

However, these devices also introduce significant cybersecurity risks. The 2021 Verkada breach, where cybercriminals accessed live feeds from 150,000 security cameras, proves the risk of damage when IoT devices are compromised is severe. Regardless of whether it is due to default or weak passwords, a lack of firmware updates, or unprotected communications, if you do not implement proper security controls, your business could incur a data breach, a cyberattack, or an operational disruption when an IoT device behaves unexpectedly.

The purpose of this article is to provide IT managers, business owners, and security professionals with seven actionable steps to safely deploy IoT devices on their networks, assess the benefits offered by these devices, and maintain an adequate level of protection.

Why Security is Important with IoT

Just as IoT devices have powerful capabilities, they inherently lack or have inadequate security controls, which makes them an easy target for cybercriminals. A 2023 research study published by Cybersecurity Ventures estimated the global costs of cybercrime to be $8 trillion, also predicting that IoT devices would become an increasingly popular target for attacks. A single compromised device can lead to data breaches, loss of operational time, damage to reputation, or financial penalties, depending on the requirements, regulations, or standards that were violated, such as GDPR, HIPAA, or CCPA. Prioritizing security and controls will provide business value when it comes to realizing the true potential that IoT devices can offer. Here are seven helpful steps to accomplish this.

Steps to Secure IoT Implementation

1. Create an IoT Plan

Collaborate with the business to ensure that IoT implementations align with the business purpose, while also evaluating any security risks that need to be addressed.

Clearly defined goals, such as optimizing supply chain operations or accelerating the Customer Experience (CX), should be established. Evaluate the sensitivity of data and determine how it should be protected. Ensure that the devices you want to deploy support secure protocols (TLS version 1.3). Conduct a risk assessment to identify the vulnerabilities, consider using the Cisco IoT Control Center, and understand how devices interact with each other from a security hygiene standpoint.

2. Isolate Your Network

Keeping IoT devices separated from more sensitive systems or networks can help limit the damage if an attacker breaches your defense.

Implement a virtual local area network (VLAN) to isolate your IoT devices from servers and workstations. Then, write your firewall rules to limit traffic to the absolute minimum necessary for the device to operate. This could mean allowing access only to vendors’ systems, such as those from Palo Alto Networks. If the device is truly inconsequential, such as a smart TV, connect it to your guest Wi-Fi, which allows even further reductions in permission.

3. Assess Vendors and Devices

Devices are often poorly engineered, and vendors are not always secure. Therefore, it is crucial to assess vendors thoroughly.

Choose reputable vendors like Cisco or Siemens, who offer strong encryption (AES-256, TLS 1.3) and regularly updated firmware. Check if your devices have any open default passwords, and provide privacy policies publicly and unobscured. One advantage is that it minimizes the risks associated with the deployment of poorly engineered and insecure devices.

4. Enforce Strong Authentication and Access Controls

Weak authentication is a straightforward method for an attacker to gain entry to devices that have been inadequately protected, as well as those with some security measures in place, as the Verkada breach can attest. Consider it a warning.

Force strong, unique, not default, credentials, and where possible, enforce multi-factor authentication (MFA) of the device management interface. Implement role-based access control (RBAC) to manage and control user access, restrict unnecessary permissions, and limit unneeded access, such as remote access or the ability to connect to ports that are not required. IT administrators and disable remote management unless critical.

5. Educate Employees on Internet of Things Risks

The most significant contributor to IoT incidents is human error.

Educate employees on IoT risk awareness that includes phishing attacks or downloading firmware from “unverified” websites. Create a clear, concise, and understandable plan outlining what employees can and cannot do with IoT devices, as well as the procedures to follow when using them. Provide periodic refresh training on good practices.

6. Be Compliant

Any IoT implementation is subject to regulations that you must comply with; failure to do so will result in fines and penalties specific to your industry.

Be aware of what regulators will be looking for. To give an example, the GDPR will focus on data minimization, and HIPAA requires the protection of patient data. Utilize encryption and access controls in your IoT solutions to help ensure compliance with relevant standards. It may be necessary to maintain audit logs of records if they are an explicit requirement for compliance. Encrypt temperature data before transmission to a cloud dashboard.

7. Detect Threats Early

Detecting threats early is very important for IoT security. Use tools like Nagios XI to monitor devices being used and watch for suspicious activity, such as spikes in data usage. Use an Intrusion Detection System (IDS) like Snort to determine compromised devices. Perform compliance investigations to review device configurations and logs occasionally.

• Related Reading: Securing Third-Party IoT Devices in 2025: Best Practices for Protection

Final Thoughts

IoT devices are transforming the way we conduct business, and we must not overlook the cybersecurity risks they pose. There are excellent tools available, such as Nagios XI and AWS IoT Device Defender, that help ensure a healthy IoT ecosystem. If you follow the seven steps above (create an IoT plan, network segmentation, assess vendors and devices, active monitoring, etc.), you can successfully integrate IoT devices safely and build resilience to cyber threats.

Why Robots Can Pose a Security Risk

Robots are incredibly advanced; however, they will still have very similar vulnerabilities to your standard IoT devices, such as having weak default passwords. Given that they have digital access as well as physical access, it’s especially important that these devices are secured. As robots being added into enterprise environments is still new, there haven’t been many examples of a security breach with them; however, the risks involved when security breaches are discovered have a huge impact.

In April 2025, researchers discovered that the Unitree Go1 robot dog contained a hidden backdoor service that could be activated without the user’s knowledge or consent. Once the device is connected to the internet, it would automatically initiate a remote access tunnel, potentially allowing hackers to take control of the robot, view its live camera feed, and access the underlying system via SSH. The researchers demonstrated that anyone with access to the necessary API keys could exploit this vulnerability, making it a serious and immediate threat.

In addition to the digital threats of having your data leaked or stolen, it is important to remember that a robot is also capable of interacting physically. Should it malfunction, or even worse, get hacked, it can easily lead to injuries, property damage, or restricted spaces being accessed. Normal IoT devices can give data, but with a robot, if someone from the outside gets control of it, they can cause a lot more harm, both to employees and the company.

Best Practices

Many of the best practices from our article on securing IoT systems apply directly to robots as well, since they are likely to be network-connected devices. However, in the case of robots, some of these practices become even more important, and there are also a few additional concerns unique to robotics that deserve special attention.

1. Change Default Passwords and Strengthen Authentication

Changing default passwords is one of the simplest and most important steps in securing a robot. Many devices ship with factory-set credentials that are widely known, making them easy targets for attackers. These should be replaced immediately with strong, unique passwords. For added protection, especially when robots connect to cloud services or internal systems, implement multi-factor authentication (MFA) or certificate-based access. Securing login credentials early helps prevent one of the most common and avoidable threats.

2. Know What’s on Your Network: Asset Visibility and Inventory

Robots can quietly join a network without drawing attention, especially in large or fast-moving environments. That makes real-time visibility essential. Use tools like Nmap or Nessus to scan for connected devices and log key details like IP address, manufacturer, and firmware version. For larger setups, platforms like AWS IoT Device Management or Azure IoT Hub can automate this process and alert you when new or unknown devices appear. Keeping track of every connected robot helps ensure nothing slips through the cracks.

3. Encrypt Data

Robots contain sensitive information such as video streams from their camera, location data, and control commands. It’s important to protect this information by encrypting both the data being sent across networks and the data stored on the device or in the cloud. Using strong encryption methods, such as TLS for network communication and AES for stored data, helps prevent attackers from intercepting, reading, or altering critical information. This keeps robot operations secure and protects user privacy.

4. Implement Network Segmentation and Monitoring

Keeping robots on a separate part of your network helps limit the damage if one gets compromised. Using isolated VLANs or subnets means an attacker can’t easily move from a robot to more sensitive systems. In addition, continuous monitoring tools like Nagios can watch for unusual activity, such as unexpected connections or spikes in data, that might signal a security issue. This combination of isolation and vigilance helps detect problems early and contain threats before they spread.

5. Keep Software Up to Date

Robots run on software that can have security flaws. Making sure these are regularly updated is extremely important as the updates will likely contain patches or fixes to previously known security vulnerabilities. If possible, we want these devices to update automatically as well as keep an eye on what these updates entail so we can make sure they stay protected against both the old threats and any new threats.

6. Ensure it Can be Stopped

Since robots are capable of moving around as well as physically interacting with the environment around them, it’s essential to ensure a way of stopping it should it go out of control for any reason. A button on the device, a remote kill switch, or some sort of software should be made to shut down the robot should this happen. While you could also simply disable the motors to stop it from moving, it’ll be more secure to shut down the device completely to cut off any connection if it were hacked.

Conclusion

As robots become more common in workplaces, keeping them secure is more important than ever. Understanding their unique risks and following simple best practices, like changing default passwords, keeping track of devices on your network, encrypting data, separating networks, and regularly updating software, can help protect your business from costly hacks. Taking these steps isn’t just about technology; it’s about making sure your team can safely get the most out of these powerful tools.

Over 60% of ransomware attacks in 2024 utilized zero-day exploits, resulting in damages worth billions of dollars. Cybercrime is estimated to cost the world USD 10.5 trillion by 2025, according to Cybersecurity Ventures.

Let us look at why zero-days are dangerous, how zero-day exploits are found, the most significant incidents around the world, what we will see in 2025, and what you can do to combat zero-days with a good response plan.

Why Zero-Days are a Big Problem

A zero-day exploit targets a vulnerability in software, hardware, or firmware before the vendor or the security community knows of it. The attacker can exploit these vulnerabilities to steal data, deploy ransomware, or disrupt a service without anyone initially being aware of it. There is no patch or signature for a defense at the moment an organization becomes aware of a zero-day exploit; there is simply no time to defend against the attack vector.

How Zero-Days are Found

Fuzz Testing: Automated Vulnerability Search

Fuzz testing involves the user inputting random or malformed data into an application, then checking for unexpected behaviors (such as crashing) that often indicate a bug is present underlying the unexpected behavior. Modern fuzzers, such as AFL++ and Google’s OSS-Fuzz, employ techniques that leverage coverage-guided and AI-assisted risk-aware code coverage approaches, ultimately identifying higher-risk paths in code. OSS-Fuzz, since its inception, has identified over 8,000 critical bugs in open-source projects (Google Security Blog, 2024). Once fuzzing has been integrated into a CI/CD pipeline, it provides teams with the opportunity to discover potential vulnerabilities and prevent them during the development process.

Bug Bounty Programs: Paying the Hackers to Help Us

Bug bounty programs allow organizations to provide incentives to external researchers to discover and disclose defects to the researcher’s specifications. Platforms such as HackerOne or Bugcrowd help facilitate these relationships between organizations and ethical hackers. In 2024, Google paid out over $10 million to successful vulnerability rewards, demonstrating the proactive nature of these discovery programs. Well-designed bug bounty programs can reduce the chances of zero days being sold to the black market.

The Biggest Zero-Day Attacks in History

Stuxnet (2010): This worm exploited four chained Windows zero-days (CVE-2010-2568) that enabled it to bypass multiple layers of security and gain control of SCADA systems, ultimately sabotaging the Iranian nuclear program. Stuxnet proved that isolating critical systems and keeping industrial technology current are requirements, not negotiable.

EternalBlue (2017): A stolen exploit from the NSA (CVE-2017-0144) that took advantage of a Windows exploit helped spawn the WannaCry and NotPetya ransomware attacks that locked out over 300,000 systems worldwide. A lesson learned that delaying patching creates risk.

Log4Shell (2021): A zero-day flaw in Apache Log4j (CVE-2021-44228) was exploited, allowing attackers to remotely execute their code on impacted cloud-based systems and enterprise applications. This incident highlighted the importance of Software Bill of Materials (SBOM) tools to help track our third-party open-source components.

MOVEit (2023):The SQL injection zero-day (CVE-2023-34362) in MOVEit Transfer helped the CL0P gang easily steal an unknown amount of data from over 2,700 organizations and provided insight into our vulnerabilities through the supply chain

What’s Coming in 2025

Cybercriminals are not going to surrender, and zero-days are evolving quickly. The implications include:

• Artificial Intelligence Attacks: Hackers are employing AI-powered fuzzers to identify vulnerabilities quicker than before, and they are increasingly simulating real-world traffic so they can infiltrate your defenses.
• Dark Web Purchases: Zero-day exploits are now being sold on dark-web markets as subscriptions, with costs ranging from $100,000 to $10,000,000.
• Ransomware’s Next Step: Ransomware groups are also buying zero-days to get into systems, which makes the attacks targeted and even more lethal.
• Internet of Things Vulnerabilities: With estimates that by 2025 there will be over 20 billion things connected to the Internet, there are plenty of unpatched firmware vulnerabilities in smart cities and smart factories.
• Cloud Environments Vulnerabilities: Unprotected organizations’ misconfigured cloud environments, in particular Kubernetes, are now a prime target for zero-days.

Fighting Back: A Zero-Day Response Plan

Utilizing the NIST “Incident Response Life Cycle” (SP 800-61R2), here is a strategic plan for dealing with a zero-day:

Remain Ahead of the Game with Threat Intel

• Watch Feeds: Monitor CISA’s Known Exploited Vulnerabilities list, MITRE ATT&CK, etc., and tools like Recorded Future to glean insight on early threat detection.
• JOIN ISACs: Join an Information Sharing and Analysis Center for your specific industry to gather real-time attack data and countermeasures, and then immediately do something with it.

Virtual Patching: Buying Time

When a vendor patch isn’t ready, use these workarounds:

Best Practices to Take on

• Spot It: Use tools like Nagios to identify troubling behavior and determine the impacted systems.
• Contain It: Block infected endpoints/services or turn off vulnerable services.
• Fix It: Deploy patches or temporary fixes and/or restore clean systems from backups.
• Clean It Up: Look for hidden threats or ways hackers may return.
• Learn from It: Reconfigure your defenses and test more code to mitigate future attacks.

Using Nagios to Stay Safe from Zero-Days

Nagios XI is a powerful tool that helps keep your systems safe by monitoring for any unusual activity in your network, such as unexpected spikes in data or changes in your apps. It monitors everything from your servers to your applications, quickly spotting signs of a zero-day attack. With quick alerts, Nagios XI lets you act fast to stop problems before they grow into bigger issues. Nagios XI also works in offline setups, keeping your systems less exposed.

Wrapping Up

Zero-day exploits present a significant challenge, and it should be acknowledged that attackers have the advantage on a zero-day. However, with some proactive measures, the advantage can shift from attackers to defenders. By incorporating fuzzing during development, engaging ethical hackers, and properly conducting a response plan, organizations can reduce their risks posed by zero-days. By continually testing and improving their defenses, organizations can stay ahead of the ever-evolving threat landscape.

Glossary

• eBPF: A Linux tool for monitoring system behavior in real time.
• JNDI: A Java interface exploited in Log4Shell attacks.
• SBOM: A list of all software components to track vulnerabilities.
• Fuzzing: A testing technique that inputs random or malformed data to uncover software vulnerabilities.
• Virtual Patching: Temporary security measures to block exploits until vendor patches are available.

The 2016 Mirai Botnet, which disrupted major websites by exploiting unsecured IoT devices, serves as a stark reminder of these vulnerabilities. According to jumpcloud, “more than 50% of IoT devices have critical vulnerabilities that hackers can exploit right now.”

This article explores the risks of third-party IoT devices and outlines practical strategies to secure and monitor your IoT ecosystem effectively.

Why Third-Party IoT Devices Pose Risks

The rapid growth of IoT devices brings undeniable benefits, but their security challenges are significant. Weak default passwords, unencrypted data, and irregular updates make these devices prime targets for cyberattacks. Hackers can exploit them to steal data, disrupt operations, or even launch large-scale attacks. The good news? With the right approach, you can mitigate these risks and maintain a secure network. Below are ten best practices for securing and monitoring third-party IoT devices.

1. Know What’s on Your Network

You can’t secure what you don’t see. Untracked IoT devices are like hidden weak spots in your network, ready to be exploited.

• Inventory scanning: Use Nmap or Nessus to perform periodic network scans that detect and catalog every IoT device. Capture attributes such as manufacturer, model, MAC address, and firmware version.
• Cloud-based asset management: Leverage AWS IoT Device Management or Microsoft Azure IoT Hub to automate inventory updates and generate alerts for unknown devices.

Benefit: Ensures comprehensive visibility into all IoT endpoints.

2. Lock Them Down with Network Segmentation

A single compromised device, like a smart camera, shouldn’t bring down your entire network.

• Deploy IoT devices on isolated VLANs or subnets separate from sensitive systems (NIST SP 800‑190).
• Configure firewall rules to restrict traffic to essential services only.
• Apply zero‑trust principles: require mutual authentication and minimal permissions for device-to-device communication.

Benefit: Prevents lateral movement across your corporate network.

3. Strengthen Authentication

Weak credentials, like the default “admin” exploited in the Mirai botnet, are a major security gap.

Replace default credentials with strong, unique passwords. Use X.509 certificates for device-to-cloud authentication and enable multi-factor authentication (MFA) for admin access where possible. These steps lock out unauthorized users and keep your devices secure.

Benefit: Prevents unauthorized access and brute force attacks.

4. Stay on Top of Updates

Outdated firmware leaves devices vulnerable to known exploits.

• Subscribe to CVE Details feeds and vendor security advisories.
• Automate firmware patch deployment with tools such as AWS IoT Device Management or Balena.
• Retire end-of-life devices that no longer receive security updates.

Benefit: Closes security gaps before they can be exploited.

5. Monitor with Tools Like Nagios

IoT devices can show subtle signs of trouble, like unusual data spikes or rogue connections. Proactive monitoring catches these early.

Nagios XI and Nagios Network Analyzer let you set baselines for device behavior, track network traffic, and spot anomalies almost instantly. Nagios XI lets you monitor everything from CPU, Memory, and Disk usage and integrates it with Nagios Log Server for instant alerts.

Benefit: Enables early detection of potential threats, enhancing response times.

6. Encrypt Everything

Unencrypted data can be intercepted by attackers, allowing them to monitor user activity and steal sensitive information.

Ensure devices use TLS 1.3 for communication and MQTT with encryption for messaging. Use AES-256 for local data storage. Edge computing can also help by processing sensitive data locally, reducing exposure during transmission. These measures keep your data safe from eavesdroppers.

Benefit: Maintains confidentiality and integrity of IoT data.

7. Limit Who Can Touch Them

Physical access or unchecked admin privileges can lead to big problems.

Use tamper-evident seals to secure devices and role-based access control (RBAC) to restrict administrative access. Monitor logs for suspicious activity to catch unauthorized attempts early. Tight access controls protect your devices from tampering or misuse.

Benefit: Reduces risks from insider and outsider threats.

8. Test for Weak Spots

Waiting for hackers to find vulnerabilities is a risky bet.

Run regular penetration tests and vulnerability scans with tools like OpenVAS or Burp Suite. Simulate real-world attacks to identify weaknesses, such as unpatched firmware or weak encryption, before they’re exploited. This proactive approach keeps your defenses sharp.

Benefit: Ensures continuous improvement of security posture.

9. Check Your Vendors Carefully

Not all IoT manufacturers prioritize security, and a weak vendor can mean a weak device.

• Require vendor adherence to standards such as ISO 27001 or ETSI EN 303 645.
• Review vendor patch cadence, security disclosure policies, and transparency reports.
• Incorporate security requirements and liability clauses into procurement contracts.

Benefit: Reduces introduction of vulnerable devices.

10. Have a Plan for When Things Go Wrong

Breaches, like the 2021 Verkada hack where attackers accessed 150,000 cameras, highlight the need for preparedness.

Develop IoT-specific incident response plans with isolation protocols and detailed logging for forensic analysis. Regularly test these plans to ensure rapid response and containment during an attack.

Benefit: Minimizes impact and recovery time during real-world incidents.

Quick Look at IoT Security Practices

Final Thoughts

Third-party IoT devices are key to modern operations but carry real security risks. Keep a tight inventory, segment networks, enforce encryption, vet vendors, and monitor with tools like Nagios. Cyber threats are a matter of “when,” not “if.” These steps keep your IoT ecosystem secure and ready for action.

In December 2020, hackers slipped malicious updates into SolarWinds’ Orion platform, hitting over 18,000 organizations with data breaches and ransomware attacks. A year later, the Log4j vulnerability put millions of systems at risk with just one line of Java code. A 2022 Security Magazine report says software quality issues cost the U.S. economy $2.41 trillion.

This article breaks down the risks of third-party software, explains what to look for, and shares practical steps to keep your systems secure.

Why Third-Party Software Risks Matter

Third-party software, including open-source libraries, commercial packages, and cloud services, is essential to modern applications but introduces significant vulnerabilities. Weaknesses in these components can lead to data breaches, operational disruptions, or regulatory penalties under standards like the General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA). A 2023 Cybersecurity Ventures report noted that supply-chain attacks are a growing threat, with third-party software as a primary attack vector. By proactively managing these risks, businesses can safeguard their systems and maintain trust.

Steps to Assess and Mitigate Risks

1. Map Your Software Ecosystem

You can’t protect what you don’t know about. Start by listing all the software your applications use.

Make a Software Bill of Materials (SBOM) to track everything from open-source libraries to commercial tools and cloud services like APIs or SaaS platforms. Tools like CycloneDX or System Package Data Exchange (SPDX) create clear visuals of how your software connects, including hidden dependencies. Check this list every three months to catch any changes.

Benefit: Helps you see all the software you rely on.

2. Evaluate Risk Factors

Look closely at your software to find risks that could cause trouble.

Examine how often open-source projects are updated and who’s working on them using platforms like GitHub or GitLab. Active projects with many contributors are usually safer. Use the National Vulnerability Database (NVD) to check for known issues and their severity. Make sure software licenses, like General Public License (GPL) or Massachusetts Institute of Technology (MIT), won’t cause legal problems, using tools like FOSSA to verify.

Benefit: Pinpoints risky software so you can act fast.

3. Leverage Automated Scanning Tools

Integrate Software Composition Analysis (SCA) into your continuous integration/continuous deployment (CI/CD) pipeline for early detection.

Use tools like the Open Worldwide Application Security Project (OWASP) Dependency-Check to scan for known vulnerabilities or Snyk for real-time alerts and remediation guidance. Run scans on each pull request via GitHub Actions or Jenkins, adjusting severity thresholds to minimize false positives.

Benefit: Detects issues before they reach production.

4. Conduct Manual Reviews

Manual reviews complement automation for deeper insights.

Verify cryptographic signatures, such as GPG or Secure Hash Algorithms (SHA), for software binaries and updates to prevent tampering. Review open-source project commit histories for suspicious activity, such as unverified contributors or sudden contribution spikes.

Benefit: Uncovers risks that automated tools may miss.

5. Assess Vendor Security

Not all software or cloud services are built with security in mind.

Ask vendors about their security practices using questionnaires like Standardized Information Gathering (SIG) or the Cloud Security Alliance’s Consensus Assessment Initiative Questionnaire (CSA CAIQ), focusing on encryption, incident response, and access controls. Check for certifications like System and Organization Controls (SOC) 2 or information security standard (ISO) 27001, and look for weaknesses, like poor authentication. Review vendors yearly or after any security issues.

Benefit: Makes sure your vendors meet high security standards.

6. Prioritize and Remediate Risks

Not all vulnerabilities are equal. Sort them by how serious they are.

Focus on critical issues with high Common Vulnerability Scoring System (CVSS) scores (above 8.0) in widely used software that hackers already know how to exploit. Tackle moderate issues (CVSS 4.0–7.9) in less critical systems next. Ignore minor issues with no known exploits unless they’re easy to fix. You can patch problems, swap risky software for safer options like Simple Logging Facade for Java (SLF4J) instead of Logging for Java (Log4j), or isolate weak components using network separation or tools like Docker.

Benefit: Saves time by tackling the most dangerous threats first.

7. Implement Continuous Monitoring

Ongoing vigilance is essential to manage dynamic supply chain risks.

Sign up for vendor security alerts and Common Vulnerabilities and Exposure (CVE) updates through tools like Snyk or Black Duck. Use zero-trust principles to check every piece of software regularly. Try AI-powered tools like Synopsys Polaris to spot unusual patterns in software vulnerabilities.

Benefit: Maintains security in an evolving threat landscape.

Risk Assessment Checklist

Final Thoughts

Third-party software can expose your business to serious risks, but you can tackle them with the right steps: map your software, check for vulnerabilities, use automated tools, do manual reviews, review vendors, prioritize fixes, and keep monitoring for threats.

In today’s connected world, cyberattacks are inevitable. Take action now to strengthen your defenses and stay ahead of threats.

Featured Open Source Security Tools

This article explores nine top open-source security tools, including Snort, Wireshark, Nagios, and others, detailing their strengths, use cases, and how they can work together to fortify your cybersecurity. A comparison table helps you choose the right tools for your needs.

1. Snort

Snort, developed by Cisco, is a widely used open-source intrusion detection and prevention system (IDS/IPS). Snort analyzes network traffic in real time, leveraging powerful rules to spot threats such as malware, port scans, and exploits. Its flexibility allows custom rule creation, so you can tailor detection to your environment. Snort can also block malicious traffic in IPS mode.

Key Features:

• Real-time traffic analysis and logging.
• Customizable, community-driven rules.
• IPS mode for active threat mitigation.
• Multi-platform support (Linux, Windows, macOS).

Use Case: Monitor and block SQL injection attempts targeting web applications on your perimeter firewall.
Best For: Organizations seeking a lightweight, customizable IDS/IPS with strong community support.

Official Site

2. Suricata

Suricata, from the Open Information Security Foundation (OISF), is a high-performance IDS/IPS and network security monitoring engine. Its multi-threaded architecture excels at handling high-speed traffic. Suricata supports deep packet inspection, advanced protocol parsing, file extraction, and integrates well with SIEM platforms. When paired with Nagios, you can monitor Suricata sensor health and performance, ensuring optimal operation and timely alerts for any issues that could impact threat detection.

Key Features:

• Multi-threaded, high-throughput engine.
• Advanced DPI and protocol parsing (HTTP, DNS, TLS).
• File extraction and TLS/SSL certificate logging.
• Support for Emerging Threats and VRT rule sets.

Use Case: Monitor encrypted network traffic for suspicious TLS certificates in a corporate environment.
Best For: High-traffic networks that need scalable, advanced threat detection.

Suricata Resources

• Official Site

• Suricata Deep Dive

• Integrating Suricata with Nagios Network Analyzer 2026

3. Nmap

Nmap (“Network Mapper”) is a versatile open-source tool for network discovery and security auditing. It’s best known for host and port scanning, but its Nmap Scripting Engine (NSE) expands its capabilities to vulnerability detection and automation. Nmap’s detailed reporting makes it indispensable for both penetration testing and ongoing vulnerability assessment. When integrated with Nagios Network Analyzer (NNA), Nmap scans can be automated and their results seamlessly incorporated into your monitoring dashboard, providing a unified view of network health and vulnerabilities. Nmap’s detailed reporting makes it indispensable for both penetration testing and ongoing vulnerability assessment.

Key Features:

• Host discovery and port scanning.
• Service/version detection and OS fingerprinting.
• Automated vulnerability scanning with NSE scripts.
• Output in XML/JSON for integrations.

Use Case: Use Nmap with NSE scripts to identify outdated or vulnerable software on servers.
Best For: Security teams that need flexible network reconnaissance and vulnerability scanning.

Nmap Resources

• Official Site
• Nmap Deep Dive
• Integrating Nmap with Nagios Network Analyzer 2026

4. Zeek (formerly Bro)

Zeek is a powerful network analysis framework built for security monitoring and behavioral analysis. Rather than relying solely on signatures, Zeek logs detailed protocol-level data and supports custom event detection through its scripting language. This makes it ideal for identifying unusual activity and forensic analysis.

Key Features:

• Comprehensive protocol analysis (HTTP, DNS, SMTP).
• Rich, detailed logging for forensic investigations.
• Custom scripting for event detection.
• Integration with SIEMs and threat intel feeds.

Use Case: Log and analyze DNS queries to detect signs of data exfiltration.
Best For: Organizations prioritizing deep network visibility and behavioral monitoring.

Official Repo

5. OSSEC

OSSEC is a scalable, open-source host-based intrusion detection system (HIDS). It monitors log files, checks file integrity, and detects rootkits and malware across Windows, Linux, and macOS. OSSEC’s centralized management makes it a solid choice for monitoring large, distributed server environments.

Key Features:

• Log-based intrusion detection and file integrity monitoring.
• Rootkit and malware detection.
• Active response to mitigate detected threats.
• Centralized agent-server management.

Use Case: Monitor file changes on critical servers that host sensitive data.
Best For: Enterprises requiring strong host-based monitoring across multiple systems.

Official Site

6. Wazuh

Wazuh, built on OSSEC, is a unified security platform that adds advanced analytics, vulnerability detection, and cloud/container monitoring. Its user-friendly dashboard and integration options make it a powerful all-in-one solution for hybrid IT environments.

Key Features:

• Security analytics and threat intelligence integration.
• Vulnerability and configuration assessment.
• File integrity monitoring and log analysis.
• Native support for cloud and containers.

Use Case: Monitor AWS EC2 instances for unauthorized access and configuration issues.
Best For: Organizations needing an all-in-one security platform for cloud and on-premises assets.

Official Site

7. Metasploit Framework

Metasploit Framework is the leading open-source tool for penetration testing and exploitation. It allows security professionals to test their infrastructure against thousands of real-world exploits, identify vulnerabilities, and validate security controls in a controlled environment.

Key Features:

• Extensive exploit and payload library.
• Automated vulnerability validation.
• Post-exploitation module.
• Integration with other security tools and reporting.

Use Case: Simulate attacks to test and strengthen your organization’s defenses.
Best For: Security teams conducting penetration testing and exploit research.

Official Site

8. Wireshark

Wireshark is the world’s most popular network protocol analyzer. It enables deep inspection of hundreds of protocols, live capture, and offline analysis. Security teams use Wireshark to troubleshoot network issues, analyze suspicious packets, and investigate incidents at the packet level. When used with Nagios Network Analyzer (NNA), Wireshark can leverage NNA’s ability to flag unusual network behavior, such as sudden spikes in traffic, to identify when detailed packet capture analysis is needed.

Key Features:

• Real-time packet capture and analysis.
• Support for over 2,000 protocols.
• Filtering, searching, and visualizing traffic.
• Cross-platform GUI.

Use Case: Investigate network anomalies, troubleshoot issues, and perform forensic analysis.
Best For: Security analysts and network engineers requiring detailed traffic inspection.

Wireshark Resources

• Official Site
• Wireshark Deep Dive
• Integrating Wireshark with Nagios Network Analyzer 2026

9. Nagios

Nagios, a veteran open-source monitoring system since 1999, provides comprehensive visibility into servers, networks, and applications. It serves as a foundational backbone for cybersecurity by delivering real-time alerts on performance issues, outages, or anomalies that could signal security threats. Its extensive plugin ecosystem allows customization for specific use cases, such as monitoring Suricata sensor health or integrating with Wazuh for unified dashboards.

Key Features:

• Real-time monitoring of servers, networks, and applications.
• Alerting and notification for performance issues or outages.
• Customizable plugins for extended monitoring capabilities.
• Integration with security tools for enhanced visibility.

Use Case: Monitor server uptime and resource usage to ensure Suricata and Wazuh operate without interruption.
Best For: Organizations needing a reliable infrastructure monitoring solution to complement and enhance threat detection tools.

Official Site

How to Combine These Tools for Maximum Security

Combining these tools creates a layered defense strategy:

• Perimeter Defense: Use Snort or Suricata for real-time IDS/IPS to block malicious traffic.
• Network Visibility: Deploy Zeek for behavioral analysis and Wireshark for packet-level insights, using Nagios Network Analyzer (NNA) to flag when detailed packet analysis is needed.
• Host Monitoring: Implement OSSEC or Wazuh for file integrity and log analysis.
• Proactive Testing: Leverage Nmap and Metasploit for vulnerability scanning and penetration testing, with Network Analyzer (NNA) automating Nmap scans and integrating results.

For example, combine Suricata’s deep packet inspection with Wazuh’s cloud monitoring and Nagios’ system alerts to catch threats in hybrid setups while keeping everything stable. Use Zeek for anomaly detection and Metasploit to test fixes.

Comparison Table

Conclusion

Open-source tools like Snort, Suricata, Nmap, Zeek, OSSEC, Wazuh, Metasploit Framework, and Wireshark empower security teams to build a robust, layered defense strategy without the high price tag of commercial software. By combining network-based, host-based, and behavioral monitoring, organizations can detect threats early, meet compliance requirements, and improve SOC efficiency. Nagios serves as a critical infrastructure backbone, ensuring system reliability so other tools can focus on precise threat detection and response.

Tip: Combine these tools for maximum coverage based on your environment and business needs. Use Nagios as the infrastructure backbone to ensure system reliability, enabling other tools to focus on precise threat detection and response.

In this guide, we’ll walk you through setting up Amazon S3 monitoring in Nagios XI, covering key metrics, best practices, and step-by-step instructions to get started.

Prerequisites

Before you begin, ensure you have the following:

• A running instance of Nagios XI (latest version recommended)
• An AWS account with IAM permissions for monitoring S3
• AWS Access and Secret Keys
• Internet connectivity for API communication

Why Monitor Amazon S3?

Monitoring Amazon S3 helps you:

• Detect Issues Proactively – Identify performance or security issues before they escalate.
• Manage Costs Effectively – Track storage usage to prevent unexpected expenses.
• Optimize Performance – Ensure efficient data access and transfer.
• Enhance Security – Detect unauthorized access and configuration changes.

Nagios XI simplifies this process with built-in monitoring capabilities, customizable alerts, and insightful dashboards.

Key Metrics to Monitor

Nagios XI provides extensive monitoring capabilities for Amazon S3. Below are the critical metrics to track:

Storage Metrics

• Bucket Size – Monitor storage consumption to avoid exceeding limits and controlling costs.
• Number of Objects – Track the number of files stored to manage data efficiently.

Request Metrics

• Get/Put/Delete Requests – Measure API request frequency to detect unusual spikes or slowdowns.
• Head/Post/List Requests – Monitor metadata access and listing operations for performance evaluation.

Performance Metrics

• Bytes Downloaded/Uploaded – Track data transfer rates to optimize bandwidth usage.
• Latency – Monitor First Byte Latency and Total Request Latency to ensure quick response times.

Error Tracking

• 4XX Errors – Identify client-side issues like unauthorized access attempts.
• 5XX Errors – Detect server-side problems that may impact users or applications.

Installation and Setup

Step 1: Install Nagios XI

If you haven’t already, install Nagios XI on your AWS instance or an on-premise server

For a step-by-step visual guide on installing AWS on Nagios XI, watch this tutorial.

Step 2: Configure AWS Access

1. Log in to your AWS Management Console.
2. Navigate to IAM and create a new IAM User.
3. Assign necessary permissions for Amazon S3 ReadOnlyAccess.
4. Generate Access Key ID and Secret Access Key.
5. Add these credentials in Nagios XI to enable S3 monitoring.

Step 3: Use the Amazon S3 Wizard in Nagios XI

1. Open Nagios XI and navigate to Configuration Wizards.

2. Select Amazon S3 Wizard.

3. Enter your AWS Access Key and Secret Key.

4. Select the S3 buckets you want to monitor.

5. Choose the key metrics to track (e.g., bucket size, request counts, errors).

6. Set alert thresholds for critical performance indicators.

7. Save the configuration and apply changes.

Step 4: Configure Alerts and Notifications

1. Navigate to Notifications in Nagios XI.
2. Set thresholds for critical metrics such as high error rates or excessive storage usage.
3. Configure email, SMS, or webhook notifications to alert your team.

Step 5: Analyze and Optimize

1. Use Nagios XI Reports to analyze trends in storage usage.
2. Optimize S3 performance by identifying underutilized storage.
3. Adjust configurations based on insights to enhance performance and reduce costs.

Best Practices for Amazon S3 Monitoring

To maximize the benefits of monitoring Amazon S3 with Nagios XI, follow these best practices:

• Set Up Proactive Alerts – Configure real-time notifications for unusual activity.
• Monitor Access Patterns – Regularly review who accesses your buckets and how often.
• Optimize Storage Usage – Identify underutilized data and move it to cost-effective storage tiers (e.g., S3 Glacier).
• Track Costs and Trends – Pair monitoring data with AWS Cost Explorer to manage expenses effectively.
• Automate Responses – Use AWS Lambda to automate corrective actions based on Nagios alerts.

Troubleshooting

Common Issues and Fixes

Conclusion

Monitoring Amazon S3 with Nagios XI provides a powerful way to ensure optimal performance, control costs, and maintain security. With easy setup, proactive alerts, and insightful reporting, Nagios XI helps businesses keep their cloud storage environments in check.

To learn about more ways Nagios can solve real life problems, check out our other Nagios Success Stories.

Additional Resources

• Nagios XI Documentation
• AWS IAM Best Practices
• Amazon S3 Monitoring with CloudWatch

Need Help?

For further assistance, visit our support page or contact our team.

Although Nagios may not outright prevent a ransomware attack such as this, it can play a crucial role in detecting, mitigating, and responding to the attack to minimize its impact.

So, how could Nagios have helped minimize the impact of a ransomware attack?

Our flagship monitoring tool, Nagios XI, offers robust monitoring, alerting, and reporting capabilities, which would have been valuable for improving visibility into the software company’s infrastructure. This added visibility could have helped in identifying signs of compromise, giving them the ability to act before the ransomware attack escalated.

Nagios XI can monitor and alert on practically anything with an IP, but XI’s ability to excel at monitoring the availability and health of key infrastructure components such as disk usage would have helped considerably in this case. In the event of a ransomware attack, the attacker is often trying to collect as much data as possible before getting caught. This would likely cause a large spike in disk usage which can trigger an alert and notification to allow you to investigate the anomaly.

By integrating with and leveraging the functionality of our log monitoring solution, Nagios Log Server, XI can expand its ability to detect an attack such as this. Nagios Log Server can detect and alert when an unusually high number of failed login attempts happen on critical systems, such as servers or applications storing sensitive customer data. This can often be a sign of attempted credential stuffing or a brute force attack. If critical systems were compromised, an alert can be set up to trigger an automated scripted action within XI utilizing an “event handler” to isolate or shut down affected systems to limit the damage while the security team investigates.

Additionally, XI’s integration with Active Directory allows Admins to track changes to user accounts (e.g., the creation of new accounts, modification of permissions, or activation of dormant accounts) and provide alerts for unusual or unauthorized actions. Nagios XI can send detailed alerts with diagnostic information to a security team or integrate with a ticketing system (e.g., ServiceNow) to automatically open an incident response workflow. Integrations such as this could have given their security team a time advantage, allowing them to respond more quickly to the incident at hand.

Final Thoughts

In short, with its ability to monitor infrastructure health, identify suspicious patterns, and potentially trigger automated responses, Nagios solutions can provide organizations the visibility that is needed to limit the impact of attacks such as this by alerting them to unusual activity and allowing them to respond more effectively. Every second counts when a ransomware attack or hack occurs. By adding Nagios solutions into their broader cyber security strategy, organizations can bolster their ability to detect and react to these types of situations.

To learn more about how you can utilize Nagios XI, Nagios Log Server, and the rest of our monitoring suite to provide comprehensive insight into your infrastructure as a whole, there is a great article on a holistic approach to monitoring with Nagios you can find here: Get Holistic with 4 Nagios Solutions. If you are interested in trying out these solutions for yourself, you can start your journey out at our Nagios Products Page.

This document is intended for use by Nagios Administrators who need information on planning agent deployment and configuration.

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