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Exaforce argues SOCs are letting AI act sooner than expected

Original title: I underestimated how fast security teams would trust AI to act in the SOC

Help Net Security ()6 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

The author cites Invisible Technologies cutting mean time to investigate by 95 percent after adopting Exaforce, and urges evidence-backed, bounded autonomy.

An Exaforce commentary argues security teams adopted AI in the SOC faster than expected because attackers are shortening the time from detection to impact. The author says teams usually start with AI that investigates, shows evidence, and recommends actions, then allow bounded autonomous response after a track record. Invisible Technologies is described as using Exaforce for 24/7 triage across fraud, corporate security, and production monitoring. The piece urges CISOs to check evidence, continuous correlation, and behavior when data is missing, and to treat known vulnerabilities and misconfigurations as live exposure.

Unconfirmed: Investigation-time and staffing figures are the author’s account of Invisible Technologies, not independently confirmed here.

Key facts
  • Invisible is said to have reclaimed more than six full-time employees’ time each month.
  • One AWS machine-account alert was traced to a residential IP at a shared workspace.
  • The author cites a single operator running several AI agents against Asia-Pacific government agencies.
  • An open letter from dozens of companies warns defenders may have only months.
  • Leaders are told to plan for agent use over the next 12 to 18 months.
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From the original article

6 min read at helpnetsecurity.com

For most of my career, I have watched new security platforms work through enterprise programs at a slow pace, so when AI began showing up in security operations tools, I assumed it would follow the same path.

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Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.