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AI Security

A module for AI threat detection that watches LLM services and AI agents, flags OWASP Top 10 risks, and turns them into incidents.

AI Security

AI Security equips SAF with threat detection for the AI perimeter. The module helps SOC and DevSecOps teams keep LLM services and AI agents in check: seeing detections mapped to the OWASP Top 10 for LLMs, auditing agent permissions, spotting signs of data disclosure, and investigating incidents in a single interface.

Who it's for:

  • SOC L1/L2 and information-security analysts
  • DevSecOps and AppSec teams
  • AI platform engineers
  • owners of in-house LLM services and agent tooling

key features

LLM threat summary

Gives you the overall picture of rule matches across the OWASP Top 10 for LLMs: counters by threat type, trends, active rules, users, and agents. For investigation, events come with incident links, prompt-injection subcategories, and signs of confidential-data disclosure.

Agent security and model theft

Lets you control AI agent permissions and watch for signs of access to model artifacts: excessive permissions, privilege-escalation attempts, atypical external connections, and deviations from the baseline profile. For each agent you can check the host, user, mode, network, sandbox, deny-list, origins, and the reason for the deviation.
When rules match, AI Security creates incidents:
  • a title with the OWASP category, rule, and context
  • module and threat-category tags
  • user, agent, host, service, request, model response, or the reason for denial
  • a ready-made first-response plan for the operator

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