
AI Decision Models and Their Impact on AI SOC Platforms
Decision models from TypeSafe, OpenAI, and Cribl offer scored answers aimed at SOC alert triage.
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Decision models from TypeSafe, OpenAI, and Cribl offer scored answers aimed at SOC alert triage.

Sola Security's AI agent changed grades on 75.1% of 9,967 high-severity cloud findings, mostly downward.

Cloudflare's Managed Defense harness runs specialist AI agents only after deterministic evidence collection.
HESP, an external controller, lets small local LLMs complete SOC alert triage instead of stalling without a verdict.

Elastic validates centralized SOC alert triage using cross-project search across 100 linked Elastic Security Serverless projects with ~2,100 detection rules.

Analysis of 16.9 million SOC alerts finds AI-related alerts at 0.43%, growing 685% since February, with 94.1% noise and 0.02% real attacks.

Recorded Future launched AI Alert Filtering to automatically triage threat intelligence alerts by relevance, letting analysts prioritize faster while retaining control.

Elastic's InfoSec team raised AI alert-triage accuracy from 60% to 92% using three self-correcting agents integrated into Slack triage.

Oslo and FFI researchers show structured agentic workflows lift LLM alert-triage accuracy from 0% to about 93% on malicious cases.
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