Enkrypt AI announced the release of its Agent Risk Taxonomy, a hands-on framework designed to help enterprise security, compliance, and engineering teams manage the fast-emerging risks introduced by autonomous and generative AI systems.

As organizations across finance, healthcare, and technology adopt AI agents that make decisions, call APIs, and access live data with minimal human oversight, traditional security frameworks fall short. Enkrypt AI’s Agent Risk Taxonomy fills this critical gap by helping teams assess, monitor, and mitigate the real-world risks that arise when AI systems take autonomous action.

While traditional AI frameworks address model development and fairness, they often overlook the unique behaviors of autonomous agents. Enkrypt AI’s Agent Risk Taxonomy fills this gap by mapping **seven critical agent-specific risk domains** to industry-standard frameworks, including OWASP, MITRE ATLAS, and NIST AI RMF:

- Governance Failures: When agents ignore or circumvent instructions
- Output Quality Issues: Including hallucinations, bias, or misleading outputs
- Tool Misuse: Unauthorized use of APIs or systems
- Privacy Breaches: Exposure of sensitive or protected data
- Reliability Problems: Drift, inconsistency, and lack of explainability
- Behavioral Risks: Manipulative or deceptive agent behavior
- Access Control Failures: Credential compromise or privilege escalation

**What Security Teams Can Expect:**

The Agent Risk Taxonomy is a framework built for real-world use. It equips security and engineering teams with:

- Detailed risk scenarios that reflect issues already emerging in production environments
- Monitoring patterns and technical controls aligned with enterprise deployment workflows
- Compliance mappings that integrate with existing security and audit frameworks
- A foundation for red teaming, secure-by-design development, incident response, and risk assessments**

Enkrypt AI’s framework enables teams to proactively evaluate and secure AI systems at scale, supporting safe, compliant deployment in a rapidly evolving threat landscape.