Can you trust your autonomous agent?

Vijil provides tools for AI developers to test and improve the reliability, security, and safety of AI agents.

Enterprises do not trust large language models today.

Enterprises do not trust large language models today.

Enterprises hesitate to deploy generative AI agents in production today because they cannot trust LLMs to behave reliably in the real world. LLMs are prone to errors, easy to attack, and slow to recover. Even if they were originally aligned to be honest and helpful, they can be easily compromised. Broken free from guardrails, they can diverge from developer goals, degrade user experience, and damage enterprise reputation and revenue.

Enterprises hesitate to deploy generative AI agents in production today because they cannot trust LLMs to behave reliably in the real world. LLMs are prone to errors, easy to attack, and slow to recover. Even if they were originally aligned to be honest and helpful, they can be easily compromised. Broken free from guardrails, they can diverge from developer goals, degrade user experience, and damage enterprise reputation and revenue.

Reliability under Pressure

LLMs are unreliable because they fail to generalize beyond training data and they generate unverified predictions ("hallucinations").

Vulnerability to Attacks

LLMs are vulnerable to an unbounded set of attacks via jail breaks, prompt injections, data poisoning, and model tampering by malicious actors.

Propensity for Harms

LLMs have a propensity to generate toxic content, reinforce malicious stereotypes, produce unethical responses, and lead to unfair decisions.

shortens time-to-trust™

shortens time-to-trust™

Vijil red-team and blue-team cloud services harden models during fine-tuning, observe and defend agents and RAG applications during operation, and evaluate generative AI system reliability, security, and safety continuously.

Agents built with

Agents built with

Agents built with

trusted by design,
tested with rigor.

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.

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.

Harden LLMs during development

Reduce vulnerability to attacks and mitigate technical risks before you deploy models

Defend LLMs during operation

Detect attacks and limit blast radius of models in production

Evaluate LLMs for Trust continuously

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

evaluate

evaluate

Evaluate your AI agent in minutes

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© 2024 Vijil. All rights reserved.

© 2024 Vijil. All rights reserved.

© 2024 Vijil. All rights reserved.

© 2024 Vijil. All rights reserved.