DEFENSE MODEL

AI Cyber Asymmetry Simulator

Grounding: Computerworld / Evan Pena (Offensive vs Defensive AI Gap)
Engagement Parameters v2.4 Live
Strategic Presets
Enterprise Network Attack Graph
● Safe Workload ● Contained ● Compromised
1. Recon & Scan
2. Sub-Sec Exploit
3. Lateral Pivot
4. Crown Jewels Exfil
Asymmetry Status: Standby. Launch simulation to test if autonomous defense automation outpaces offensive AI expansion.
SOC Battle Telemetry T+0.00s
Mean Time to Detect
350 ms
Mean Time to Contain
--
Breach Blast Radius
0% (0 / 14)
Containment Rate
--
Real-Time Security Feed
[00:00.00] Telemetry monitor initialized. Ready for attack cycle.
Mitigation Export

Offensive Velocity vs SOC Automation Dynamics

Read the explanation

Autonomous offensive agents compress initial reconnaissance and exploit chaining to sub-second intervals across enterprise topology. In the simulator, defensive containment succeeds only when detection latency is less than one point six times the attack step time. Selecting manual triage queues introduces high latency, allowing lateral pivots to reach crown jewels and trigger exfiltration. Switching to an autonomous agentic posture cuts triage latency to sub-second speeds, isolating lateral pivots with dynamic microsegmentation.

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