What is Threat Modeling?

1 min read Updated

Threat modeling is a structured security analysis process that identifies potential threats to a system, evaluates their likelihood and impact, and designs mitigations — before vulnerabilities are exploited in production.

WHY IT MATTERS

Threat modeling asks: 'what could go wrong?' before it does. For traditional software, threats include SQL injection, XSS, and unauthorized access. For AI agent financial systems, the threat landscape is broader and less well-understood.

Agent-specific threats include: prompt injection causing unauthorized transactions, hallucinated recipient addresses, runaway loops burning through budgets, compromised LLM providers manipulating agent behavior, key exfiltration through context manipulation, and social engineering through agent interfaces.

Effective threat modeling for agent systems uses frameworks like STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege) adapted for the agent context. Each threat gets a severity rating and a mitigation plan.

HOW POLICYLAYER USES THIS

PolicyLayer's spending policies are built from threat models specific to AI agent financial attacks. Per-transaction limits mitigate runaway loops. Allowlists mitigate address manipulation. Rate limiting mitigates automated drain attacks.

FREQUENTLY ASKED QUESTIONS

What are the biggest threats to AI agent wallets?
Prompt injection (manipulating agent behavior), key compromise (stealing signing keys), runaway spending (agent loops burning budget), and social engineering (tricking agents through crafted inputs).
How often should threat models be updated?
At every major change — new features, new integrations, model updates, and after any security incident. The AI agent threat landscape evolves rapidly; static threat models become stale quickly.
What threat modeling framework works best for agents?
STRIDE works well as a starting point, extended with agent-specific categories. Microsoft's AI threat modeling framework adds AI-specific threats. OWASP also maintains an AI security threat taxonomy.

FURTHER READING

Enforce policies on every tool call

Intercept is the open-source MCP proxy that enforces YAML policies on AI agent tool calls. No code changes needed.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.