BOSTON, MA – Enkrypt AI, a leader in AI security and compliance, today announced the release of its Agent Risk Taxonomy, a comprehensive and actionable framework designed to help enterprise security, compliance, and engineering teams navigate and manage the new risks posed by autonomous and generative AI systems. This new framework addresses the critical gaps left by traditional security models, which often fail to account for the unique behaviors of AI agents that operate with minimal human oversight.
As organizations across the financial, healthcare, and technology sectors increasingly deploy AI agents that can make decisions, interact with APIs, and access live data, the need for a specialized security approach has become paramount. The Agent Risk Taxonomy is a direct response to this challenge, providing a hands-on guide to help teams proactively assess, monitor, and mitigate the real-world risks that emerge when AI systems are given autonomous control.
“We built this for CISOs, red teamers, and AI leads who need to move fast and secure even faster. It is practical, not theoretical and ready to plug into enterprise workflows,” said Sahil Agarwal, CEO of Enkrypt AI.
A Framework Tailored for AI Security Practitioners
While existing AI frameworks often focus on model development and fairness, they frequently fall short of addressing the unique and dynamic risks of autonomous agents. Enkrypt AI’s taxonomy bridges this gap by mapping seven critical, agent-specific risk domains to established industry standards such as OWASP, MITRE ATLAS, and NIST AI RMF.
The seven key risk domains include:
Governance Failures: Instances where agents disregard or bypass their instructions.
Output Quality Issues: Problems such as hallucinations, bias, or the generation of misleading outputs.
Tool Misuse: The unauthorized or improper use of APIs or other connected systems.
Privacy Breaches: The inadvertent exposure of sensitive or protected data.
Reliability Problems: Issues related to drift, inconsistency, and a lack of explainability.
Behavioral Risks: The potential for agents to engage in manipulative or deceptive behaviors.
Access Control Failures: Risks stemming from credential compromise or privilege escalation.
Empowering Security and Engineering Teams
The Agent Risk Taxonomy is built for practical, real-world application. It provides security and engineering teams with:
Detailed risk scenarios based on issues already emerging in live production environments.
Monitoring patterns and technical controls that align with existing enterprise deployment workflows.
Compliance mappings that seamlessly integrate with current security and audit frameworks.
A solid foundation for red teaming, secure-by-design development, incident response, and comprehensive risk assessments.
By enabling teams to proactively evaluate and secure AI systems at scale, Enkrypt AI’s framework supports the safe and compliant deployment of autonomous AI in a rapidly evolving threat landscape.
Interesting Industry Facts
According to a recent report by Gartner, the autonomous AI market is projected to grow significantly, with a key driver being the increasing need for security solutions to manage these systems.
Enkrypt AI has been at the forefront of AI safety research, having launched the first public AI Safety Leaderboard to transparently benchmark the security of various language models.
The company has developed advanced defenses against real-world threats, including prompt injection, bias, and misuse, which are critical for industries like finance and healthcare where security and compliance are non-negotiable.
Founded by Yale PhD experts in 2022, Enkrypt AI is backed by a prestigious group of investors, including Boldcap, Berkeley SkyDeck, ARKA, and Kubera, showcasing its strong foundation and industry recognition.
About Enkrypt AI
Enkrypt AI is an AI security and compliance platform that helps enterprises safeguard against the risks of generative AI by automatically detecting, removing, and monitoring threats. Its unified platform offers end-to-end protection across the entire AI lifecycle, combining red teaming, security guardrails, and compliance automation. Fortune 500 companies are leveraging Enkrypt AI to safely productionize their agents and chatbots, addressing critical risks such as data leakage, jailbreaks, hallucinations, and compliance gaps. The company is committed to promoting the responsible and secure use of AI technology, ensuring its benefits can be harnessed for the greater good.
Resources and Contact Information
To learn more about the new Agent Risk Taxonomy, download the framework, or schedule a demo, please use the links below:
- Download the Framework: https://cdn.prod.website-files.com/6690a78074d86ca0ad978007/687f7fac66e8127aa565341d_Agent%20Risk%20taxonomy_enkryptai.pdf
- Schedule a Demo: https://www.enkryptai.com/request-a-demo
- Learn more at: https://www.enkryptai.com/agent-risk-taxonomy
Contact:
Sheetal Janala
Enkrypt AI
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