Can you trust your autonomous agent?

Vijil builds, tests, and operates specialized AI agents with reliability, security, and safety by design.

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AI Agents pose new risks

Building a prototype AI agent is easy. Deploying it into production is not. Organizations cannot trust AI agents in mission-critical roles the way they trust employees because AI agents today are not optimized for trustworthiness the way they are optimized for task-worthiness.

We need a new kind of agent for a new era of work. We need intelligent agents that humans can trust.

Truth

Consequences

Reliability under Pressure

Agents fail to generalize beyond training data and they generate unverified predictions ("hallucinations"). Are you testing your AI agents under noisy conditions?

Security under Attack

Agents are vulnerable to an unbounded set of attacks via jail breaks, prompt injections, data poisoning, and model tampering by malicious actors. Are you testing your AI agent's access to confidential data and privileges to backend APIs under hostile conditions?

Safety under Failure

Agents have a propensity to generate toxic content, reinforce malicious stereotypes, produce unethical responses, and lead to unfair decisions. Are you testing your AI agents for compliance with global and local regulations, industry standards, organizational policies, and it's particular role and tasks?

shortens time-to-trust™

Vijil delivers specialized AI agents that humans can trust. For organizations that need to run custom AI agents in mission-critical applications, Vijil provides the layer of trust integrated into the agent developer's platform of choice to ensure reliability, security, and safety throughout the agent lifecycle.

Test Your AI in Minutes

Agents built with

trusted by design,
tested with rigor.

trusted by design, tested with rigor.

trusted by design,
tested with rigor.

For enterprises that want to build and operate chatbots, virtual assistants, co-pilots, and autopilots that they can trust in production, Vijil provides tools for AI engineers to measure, improve, and maintain trust in agents based on open, safe, and secure models.

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Harden agents during development

Reduce vulnerability to attacks and mitigate technical risks before you deploy your AI agents

Defend agents during operation

Detect attacks and limit blast radius of agents in production

Test agents for Trust continuously

Test the system holistically under benign and hostile conditions to measure reliability, security, and safety with rigorous standards