🎯 Offensive Security
RuntimeAI Offensive Security Platform
Attack your AI agents before someone else does, catch and stop what gets through, and close every real finding back into a fix — one platform spanning red, blue, and purple team practice for AI agents. Built on the Red Teaming Engine (formerly ATSA), the detection and response capabilities already protecting your agents, and the loop that connects them.
392
Attack Scenarios (Red)
<100ms
Kill Switch Broadcast (Blue)
4-Step
Attack → Fix Loop (Purple)
On-Prem
Air-Gapped Runner Available
Gartner names this emerging category Adversarial Exposure Validation — continuous, agent-native attack simulation measured against real production controls. RuntimeAI's take on it is the three practices every mature security program already runs for its infrastructure, applied to AI agents specifically: red team, blue team, and the purple-team loop that connects them.
One Platform, Three Honest Lenses
Not three separate agents pretending to fight each other — one real attack engine, real detection and response, and the loop that connects them.
🔴 Red Team
RuntimeAI Red Teaming Engine
392 live attack scenarios across 9 attack-surface domains — 361 modeled directly on real, dated AI-security incidents, not hypotheticals. Runs on-demand or continuously, on-prem or fully air-gapped, and produces a real before/after risk score with a downloadable report.
Explore the Red Teaming Engine →
🔵 Blue Team
Detection & Response, Already Running
These are RuntimeAI's real detection and response capabilities, reused here as the "blue" side of the story — not a separate blue-team AI agent. AI Respond triages and auto-remediates incidents. Behavioral Intel / Drift Engine flags agents acting outside their learned baseline. AI Ops Center backs it with a kill switch, budget caps, and automated playbooks. Flow Enforcer, Kill Switch, and WAF are the enforcement layer every Red Teaming finding points back to.
Explore AI Ops Center →
🟣 Purple Team
The Loop That Closes the Gap
Red and blue teaming in isolation produce a report. This loop produces a fix: a Red Teaming Engine finding generates a policy change in Policy Manager, Flow Enforcer deploys it, and the next scan re-verifies the risk score actually improved. This loop has run against RuntimeAI's own platform, closing real gaps and re-verifying the fix held — not assumed fixed because the code looked right.
Read: Red Team It. Blue Team It. Purple Team the Loop. →
Why This, Now
Autonomous attack tooling has moved from research to production — and attackers are using the same class of tooling defenders are.
Machine-Speed Campaigns Are Real
Financial-sector advisories now describe autonomous AI tooling running multi-stage reconnaissance, exploitation, and fund-movement campaigns around the clock, timed to holidays and off-hours when defenses are thinnest.
A Live Attack Catalog, Not a Snapshot
Traditional red-teaming is a point-in-time PDF. The Red Teaming Engine's catalog is grown continuously from real, published incidents — new attack patterns go into the catalog within days of the incident breaking.
Honest Attribution, Not a Vague "Blocked"
Every finding names the real control that stopped it, or honestly says none does yet — the same discipline a SOC should hold every vendor's reporting to.
On-Prem and Air-Gapped, Where It Matters
For BFSI and other regulated environments where the Red Teaming Engine itself has to run inside your own network: a self-contained scanner binary with the full attack catalog embedded, no inbound access required.
How the Loop Runs
From attack to fix, in one continuous cycle.
01
Attack
The Red Teaming Engine fires a real, incident-modeled scenario against your real deployed agent stack — quick scan for your covered/P0 set, or a full run across all 392 scenarios.
02
Attribute
Every result is traced to the specific control that stopped it — Flow Enforcer, WAF, Kill Switch, Behavioral Intel — or honestly marked uncovered. No coincidental catch is ever reported as a purpose-built defense.
03
Fix
An uncovered gap turns into a real Policy Manager rule, deployed through Flow Enforcer — not a ticket that sits in a backlog.
04
Re-Validate
The next Red Teaming Engine run confirms the fix actually closed the gap and the risk score improved — live, not on paper.
Frameworks Covered
Mapped against the standards your security and compliance teams already use.
OWASP LLM Top 10
MITRE ATLAS
SOC 2
PCI DSS v4
HIPAA
GDPR
NIST AI RMF
See the Full Loop Run Against Your Own Stack.
A real attack, real attribution, real detection and response, and a walkthrough of how a finding becomes a fix.