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This article details Figma's implementation of autonomous AI agents to automate security alert triage, demonstrating a 70% reduction in resolution time through learned patterns and integrated tool use. The system leverages specific models like Claude Opus alongside enterprise memory architectures to handle complex investigations while maintaining necessary human oversight.
Sources coveringInfoQ, Slack Blog
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

How Figma Uses AI Agents for Security

InfoQ4 min read

The engineering team at software company Figma recently documented how they built AI agents to help their security team investigate alerts, search past incidents, check company systems, and even prepare code fixes. The agents learn from previous investigations, reducing repetitive work and helping engineers resolve complex alerts about 70% faster. By Renato Losio

The engineering team at software company Figma recently documented how they built AI agents to help their security team investigate alerts, search past incidents, check company systems, and even prepare code fixes. The agents learn from previous investigations, reducing repetitive work and helping engineers resolve complex alerts about 70% faster, while human review and strict controls remain in place. The team describes a security system built on Panther SIEM that…

Excerpt shown under the publisher's RSS terms · 70 words · full text and figures are on the publisher's site

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