WhatA red-team-as-a-service platform that continuously probes LLM-powered features for privilege escalation, broken access control, and tool-call authorization failures before attackers find them.
SignalDevelopers and commenters are stunned that basic security tests — like checking whether a user can supply a different email for password reset — were never run, suggesting that existing QA and pentest workflows have no coverage for agentic AI surfaces.
Why NowEvery major platform is shipping AI agents with real tool access, but security testing methodologies haven't caught up — the Meta breach proves the gap is already being exploited at scale.
MarketAny company shipping LLM-powered user-facing features; buyers are AppSec teams; TAM within broader application security testing market ($8B+); incumbents like HackerOne and Snyk don't cover agentic AI attack surfaces.
MoatProprietary attack corpus and coverage maps built from real-world agent architectures; network effects from shared vulnerability patterns across customers.
Meta confirms 1000s of Instagram accounts were hacked by abusing its AI chatbotView discussion ↗ · Article ↗ · 641 pts · June 6, 2026
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