Enkrypt AI

Enkrypt AI: LLM Security, Red-Teaming & Runtime Guardrails

Enkrypt AI is LLM security platform combining red-teaming, risk discovery, and runtime guardrails. Most LLM applications ship without rigorous security testing because the category is new and the tools didn't exist. Enkrypt AI's pitch is the full security lifecycle for generative AI — red-teaming during development, risk discovery in staging, runtime guardrails in production — mapped to OWASP and emerging compliance frameworks.

Key Features

• LLM security platform combining red-teaming, risk discovery, and runtime guardrails
• Founded in 2022 by Sahil Agarwal and Prashanth Harshangi
• Headquartered in Boston, Massachusetts
• Approximately $14M Series A; backed by Boldcap and other security-focused investors
• Maps generative AI risks across the OWASP LLM Top 10 and emerging threat vectors
• Runtime guardrails monitor prompts and outputs in production for jailbreaks, leakage, and bias
• Used by enterprises in financial services, healthcare, and government deploying LLMs

Ideal Use Case

Enterprises in regulated industries — financial services, healthcare, government — deploying generative AI applications where prompt injection, data leakage, jailbreaks, and bias are blocking issues for production rollout.

Why Use Enkrypt AI

Most LLM applications ship without rigorous security testing because the category is new and the tools didn't exist. Enkrypt AI's pitch is the full security lifecycle for generative AI — red-teaming during development, risk discovery in staging, runtime guardrails in production — mapped to OWASP and emerging compliance frameworks.

FAQ

Q: Who founded Enkrypt AI? A: Sahil Agarwal and Prashanth Harshangi co-founded Enkrypt AI in 2022; the company is headquartered in Boston.

Q: How much has Enkrypt AI raised? A: Approximately $14M Series A, with Boldcap and security-focused investors participating.

Q: What does Enkrypt AI do? A: Enkrypt AI combines red-teaming, risk discovery, and runtime guardrails — covering the full security lifecycle for enterprise LLM applications.

Q: Enkrypt AI vs Lakera vs Gray Swan? A: Lakera focuses on runtime guardrails. Gray Swan emphasizes academic-rigor red-teaming. Enkrypt AI combines red-teaming, risk discovery, and runtime guardrails in one platform mapped to OWASP LLM Top 10.

Q: Who uses Enkrypt AI? A: Enterprises in financial services, healthcare, and government deploying generative AI applications in regulated environments.

tl;dr

Enkrypt AI is the full-lifecycle LLM security platform — red-teaming + risk discovery + runtime guardrails. $14M Series A; Boldcap-backed. Maps to OWASP LLM Top 10. Used by financial services, healthcare, and government deploying generative AI in regulated environments.

Related

Looking for more options? Browse the Security & Governance directory or read our best AI security tools listicle. Enkrypt AI is also tracked on Crunchbase.