Vijil

Evaluate AI agents for trust, safety, and compliance.

Vijil is an AI trust and safety platform that helps enterprises assess AI agents and LLM applications for security vulnerabilities, alignment failures, and compliance risks before and during production deployment. It addresses a gap in the enterprise AI deployment lifecycle: most teams have tools to build and monitor AI systems, but lack a structured way to evaluate whether those systems behave safely, follow intended guidelines, and meet regulatory requirements. Vijil is positioned for mid-market and enterprise buyers, particularly those in industries where the consequences of misaligned or unsafe AI behavior carry meaningful legal or operational risk. It differentiates itself by combining security vulnerability testing, alignment evaluation, and compliance risk assessment in a single platform rather than treating these as separate concerns.

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Key Features

Security vulnerability evaluation: Tests AI agents for known attack vectors such as prompt injection, jailbreaks, and adversarial inputs that could cause the system to behave in unintended or harmful ways.
Alignment assessment: Evaluates whether AI agents behave consistently with their intended purpose and organizational guidelines, flagging cases where outputs deviate from expected norms.
Compliance risk analysis: Maps AI system behaviors against relevant regulatory and policy frameworks, helping compliance teams identify and document risks before auditors or regulators do.
Pre-deployment and continuous evaluation: Supports assessment both before an agent is released and on an ongoing basis, so new risks introduced by model updates or changing inputs are caught over time.
Enterprise reporting: Produces structured findings that can be shared with security, legal, and governance stakeholders rather than surfacing raw technical results only readable by ML engineers.

Use Cases

For enterprise security teams clearing AI agents for deployment: A security team at a large organization needs to sign off on a new LLM-powered internal tool before it goes live — Vijil provides a structured evaluation to identify vulnerabilities and alignment gaps that the development team may have missed.
For compliance teams managing AI risk: A compliance officer at a regulated firm needs documentation showing that their AI systems have been assessed for safety and policy adherence — Vijil generates the evidence trail that supports that process.