Accelerate IR
and Cut Its Costs
Packet Capture for Faster IR
Every security team needs to investigate anomalies, triage potential incidents, and escalate to full-blown incident response (IR) when needed.
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OT/IoT Traffic Data Enables the Entire Process
Incident Response
Needs Rich Data Fast
Too Much Data
Recording every packet from every OT/IoT device is prohibitively expensive and difficult. Organizations have to be selective about what network traffic they record at full packet-level fidelity.
Difficult to Launch
When a device anomaly requires investigation, immediate data capture is essential. Automation can facilitate this process. However, if the packet capture system is separate from the monitoring system, it may hinder responsiveness and result in data loss.
Costly
Getting IoT/OT device data is a necessary early step for the typical incident responder. Without readiness, it can be very expensive (and slow) to set up the software, network access, and secure destination storage.
IoT Device Security in 2024:
The High Cost of Doing Nothing
Protecting the growing IoT architecture
in a complicated security environment
Fast, Centralized, Easy
How to Improve Incident Response Readiness
Growing OT/IoT inventories bring increased Incident Response readiness requirements. Whether for governance requirements, security best practices, or both, better Incident Response saves time and money while reducing the burden on team resources.
Fast
Incident Response starts with an anomaly that needs investigation. Whether that anomaly is detected automatically by Asimily or manually by your own policies, a first and fast step should be to start capturing data for the questionable OT/ IoT Device for Incident Responders.
Centralized
With so many different devices and network segments, having a centralized place with known access to OT/IoT traffic is essential. Also, it’s the logical place for packet capture – a centralized location that already had access to device traffic. No context hopping between applications is needed.
Easy
Typically, the Asimily platform will be the first place to diagnose an anomaly due to its comprehensive data, timeline, and reach for OT/IoT devices. As a result, it’s also the right place to start preparing for incident responders’ first need – data about any suspect OT/IoT (or IT for that matter).
The Necessity of Continuous Vulnerability Detection
Accurately discovering and patching vulnerabilities is one of the biggest issues with securing Internet of Things (IoT) devices. Finding these weaknesses in the device firmware or in the communication protocols and mitigating them quickly can mean the difference between a secure network and one that’s open to cyberattackers. This work is unfortunately complicated by the number of IoT devices. With continuous vulnerability detection, organizations gain a more accurate picture of what possible weaknesses there are in their IoT devices on a more consistent basis.
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Strong IoT Security Requires Effective Forensic Analysis Capabilities
Forensic analysis as a practice also helps security teams evaluate their defenses and discover possible weaknesses in their posture management. Any effective forensic investigation into a cyberattack, whether successful or not, includes that element of evaluation. So it’s imperative that there is good data collected from every aspect of the network, including the IoT devices that may stymie investigations because of the challenge of collecting data.
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