SEC536: Adversarial AI - Penetration Testing AI Systems


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Contact UsKey findings:
The review's overall takeaway is that AIR's value comes from lowering the skill floor for forensic investigation. Rather than requiring a dedicated forensics specialist to interpret raw artifacts, the platform's automated analysis and prioritized findings let general security analysts work incidents that would otherwise need escalation, while still giving experienced investigators a faster, more consolidated workflow through precision hunting and API-driven integrations.
This SANS First Look was written by SANS Certified Instructor and DFIR faculty member Megan Roddie-Fonseca, based on a hands-on evaluation of the Binalyze AIR platform. The paper was sponsored by Binalyze.
Binalyze AIR is an Automated Investigation and Response platform that automates forensic data collection, triage, and threat hunting, according to a SANS First Look review of the product.
Binalyze AIR can collect more than 600 types of forensic artifacts, including memory dumps, running processes, shell history, and browser history, across Windows, Linux, macOS, and IBM AIX.
AIR supports precision threat hunting using YARA rules for malicious binary detection, Sigma rules for cross-log activity searches, and Osquery for SQL-like queries against system data.
Yes. AIR includes prebuilt integrations for SIEM, SOAR, and EDR/XDR tools such as Splunk, SentinelOne, and Slack, plus a documented API and webhooks for building custom integrations.
According to the SANS review, AIR's automated DRONE analyzers surface prioritized, high-fidelity findings automatically, which is designed to let analysts of all experience levels handle incidents without escalating to a specialized forensic investigator.


Megan is a Senior Security Engineer at Datadog, SANS DFIR faculty, and co-author of FOR509. She holds two master’s degrees, serves as CFO of Mental Health Hackers, and is a strong advocate for hands-on cloud forensics training and mental wellness.
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