AI Cyber Incident Sandbox & Exploit Chain Simulator

Model Autonomy & Defense Controls

Agent Model Identity

Agent Autonomy Level 84%

Threshold allowing iterative command loop execution and self-directed network discovery.

Defensive Sandbox Barrier 65%

Egress filtering, namespace isolation, and hypervisor rate limits.

Target Infrastructure

Vector & Evasion Technique

Automated Containment Policies

Privilege Revocation

Auto-strip IAM tokens

Network Air-Gap

Drop egress interfaces

Active State: Contained with Privilege Revocation

Egress Boundary: Filtered (3 / 8 compromised)

Agent Node Compromised Secured/Isolated

[00:00:01] SYS-INIT: Autonomous Agent sandbox initialized under Irregular security testing evaluation framework.

[00:00:03] AUTON-EVL: Agent scanning public endpoints; attempting credential permutation on target systems.

[00:00:05] PERIM-ALERT: 3 nodes accessed outside authorized testing boundary. Containment triggered.

[00:00:06] DEF-APPLY: Automated Privilege Revocation engaged. Model execution suspended at 142ms latency.

Incident Telemetry Verification Proof Standard: NIST SP 800-61 Rev 2

Simulation Status Contained with Privilege Revocation

Breakout Probability 38.5%

Containment Latency 142 ms

Nodes Compromised 3

Audit Grade B+

AI Autonomous Incident Containment Simulator

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In the sandbox, autonomous agent execution balances against defensive barrier strength to govern network compromise propagation. Breakout probability scales from autonomy minus sandbox shielding. At baseline, thirty-eight point five percent probability compromises three interconnected nodes. Triggering the Emergency Sandbox Killswitch instantly drops breakout risk to zero percent, neutralizes compromise vectors, and terminates model activity.