New capability allows enterprises to continuously improve agent resilience
Vijil announced its trust infrastructure designed to help enterprises evolve AI agents in business-critical roles. The new Vijil Darwin module closes the loop from production telemetry to agent development, transforming attacks and failures into evolutionary pressure. The Vijil platform continuously improves agent resilience, enabling organizations to detect risks before deployment, defend agents in production, and rapidly fix failures when they occur. Vijil will showcase the platform at the RSA Conference in San Francisco, March 23-26, at booth 17 in the Early Stage Expo Hall.
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The Vijil trust infrastructure platform continuously improves agent resilience, enabling organizations to detect risks before deployment, defend agents in production, and quickly fix failures when they occur.
Many enterprises are unable to move AI agents from pilot to production because they lack hard evidence that agents can avoid hallucinations, withstand prompt injections, resist jailbreak attempts, and adhere to corporate policies. Projects are often pulled back from production because agents and their guardrails prove to be too brittle to adapt to real-world environments.
Vijil provides a platform designed to measurably improve the reliability, security, and safety of agents across their lifecycle. Developers can test agents using an evaluation framework automatically customized to each agent and its environment. Business owners, application security teams, and governance, risk and compliance teams can set standards for agent behavior and monitor agents as they evolve to meet them.
The platform consists of three modules that operationalize trust as infrastructure to bridge the gap between agent developers and business owners, helping to accelerate adoption of AI agents in business-critical roles. Vijil Diamond automatically converts agent profiles, user personas, and organization policies into a trust evaluation framework. Vijil Dome uses evaluation results to enforce policies over agent runtime behavior, turning governance into guardrails with observability. Vijil Darwin learns from this production telemetry and proposes targeted improvements to agent instructions, configuration, and source code, which developers can quickly review, apply, and evaluate.
“Developers building agents for critical workflows must prove to business owners that their agents behave as expected under normal, noisy, and nasty conditions,” said Vin Sharma, co-founder and CEO of Vijil. “Vijil provides a layer of trust across the agent lifecycle, from discovery to deployment. With Vijil Darwin adapting agents to production telemetry, we close the loop from operations back to development, so agents can improve continuously.”
Vijil integrates with widely used agent development frameworks, including Google Agent Development Kit, LangGraph, CrewAI, and Strands, and provides first-class support for deployment on AWS AgentCore. Organizations typically get started by establishing a baseline of agent trust and within weeks measure improvements, as Vijil automatically proposes fixes based on real-world failures.
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