AI Security Simulators
AI-agent risk changes when a model can call tools, read secrets, browse untrusted content, retain memory or act without human approval. Trust boundaries and least privilege matter as much as model behavior.
AI Agent Hacking Simulator
Explore AI Agent Hacking Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
Prompt Injection Simulator
Explore Prompt Injection Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
AI Agent Privilege Escalation Simulator
Explore AI Agent Privilege Escalation Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
Unsafe Browser Agent Simulator
Explore Unsafe Browser Agent Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
AI Secret Leakage Simulator
Explore AI Secret Leakage Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
AI Memory Poisoning Simulator
Explore AI Memory Poisoning Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
Agent-to-Agent Trust Attack Simulator
Explore Agent-to-Agent Trust Attack Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
AI Tool Abuse Simulator
Explore AI Tool Abuse Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
Model Output Execution Risk Simulator
Explore Model Output Execution Risk Simulator as a safe interactive AI Security security simulation. No real target is scanned, authenticated to or exploited.
What to watch for
- Agent actions that exceed the user request
- Untrusted content changing tool behavior
- Unexpected secret access or data transfer
- Tool calls happening without the expected approval
- Persistent memory containing untrusted instructions
Defensive priorities
- Allowlist tools and give each tool the minimum permission needed
- Treat retrieved/web/user content as untrusted data
- Require human approval for high-impact actions
- Keep secrets outside model-visible context unless absolutely required
- Bound memory and isolate trust domains between agents and workflows