Resources

No passwords, no keys in env vars. An agent's identity is minted from what it is verifiably, and proved every time it exercises an authorized capability.

Three essays from November 2024, republished with their original dates — the genome from which Vijil grew.

Today's AI agents are factotums — competent but loyal to their developers. What we deserve are fiduciary agents with a duty of care.

We cannot trust AI agents the way we trust machines or people. Perhaps we ought to trust them the way we trust corporations.

The first in a series excavating the root of trust — and why we cannot trust AI agents the way we trust machines or people.

Vijil research team focuses on fundamental challenges of building trustworthy AI agents for enterprise use

Customers such as SmartRecruiters deploy trusted AI agents 75% faster with Vijil

In this reflection from our Marketing Intern, Lena, we explore why chatbots still make toxic, biased, or baffling mistakes—and how transparency, better training practices, and tools like Vijil’s can help us build AI agents that reflect the best of human values.

Google Agent Development Kit (ADK) is a powerful framework for building AI agents. But as every agent developer knows by now, creating an agent is the easy part. Making sure that it runs reliably, securely, and safely is what really tests your mettle. ADK provides an agent evaluations capability to help you test your agents. But you need to define test files, hand-crafting tests to verify that your agent is ready for production. Creating a test harness that is sufficiently comprehensive and diverse is no easy task. This is where Vijil can help.

To help organizations build AI agents that humans can trust

Are AI ethics benchmarks actually useful? Many companies rely on abstract, outdated tests that don’t reflect real-world compliance. Discover why Vijil’s AI evaluation applies company-specific ethical standards to ensure trustworthy AI—just like you would with an employee. Test your AI in minutes today!

Run MMLU-Pro benchmarks 20x cheaper and 1000x faster with Vijil Evaluate. Discover how our high-performance evaluation engine and Lite benchmarks deliver 95% accuracy at a fraction of the cost and time. Optimize your LLM testing today!

The VIJIL Trust Report for DeepSeek R1 indicates critical levels of risk with security and ethics, high levels of risk with privacy, stereotype, toxicity, hallucination, and fairness, a moderate level of risk with performance, and a low level of risk with robustness.

While DeepSeek R1 is competitive to OpenAI GPT-o1 on reasoning tasks, it has several failure modes that hamper its use in business-critical applications. Vijil Dome adds a layer of trust around the model to make it viable in commercial products.

Vijil recognized for innovations in trustworthy AI agents

Vijil announced today that Vijil Evaluate, its AI agent testing service, is now available on Google Cloud Marketplace to help developers test agents with rigor and speed so that they can deploy their agents into production sooner.

Building secure AI agents is just the start—defending them is where it counts. Follow our step-by-step guide to integrate Vijil Dome into your ADK agent and see how it boosts protection and trust in real-world scenarios.

Learn how Vijil Dome integrates seamlessly with LangChain to add powerful, chain-native security guardrails for building robust, secure, and production-ready AI workflows.

In Part 3 of our Vijil Dome series, learn how to build custom guardrails that enforce domain-specific protections—like PII detection—on top of Dome’s secure, production-ready AI safety infrastructure.

Discover how to protect your LangChain agents from prompt injection, data leaks, and harmful outputs using Vijil Dome’s guardrails and track improvements with Vijil Evaluate.

Groq with Vijil for Speed and Security

Phala + Vijil deploy trusted agents in a TEE

Announcing a new feature of Vijil Evaluate that enables you to automatically generate custom guardrails based on your agent eval

Deploying Vijil Dome to defend your AI agents running on a DigitalOcean Kubernetes cluster is now easier

At AWS Summit NYC, a shift toward enterprise-ready AI agents became clear. Jamie Mneimneh (Brightmind Partners) and Vin Sharma (Vijil) break down why security must be built into agent infrastructure—not bolted on. They introduce Vijil Dome, a guardrails framework that enforces real-time input/output controls, tool restrictions, and privacy safeguards. Paired with AgentCore, it creates scalable, accountable AI systems ready for production.

Vijil came out of stealth on July 24 with funding from Mayfield's AIStart seed fund and Gradient Ventures, Google's AI-focused seed fund. We are thrilled to have them as partners backing our venture.

Autonoma uses AI agent hardened by Vijil on DigitalOcean to reduce IoT service troubleshooting time

In this post, we introduce Vijil Dome, our open-source guardrails framework designed for real-time, policy-based control of agent behavior. Dome offers low-latency, framework-agnostic enforcement that integrates seamlessly with OpenAI, LangChain, and other popular stacks. Learn how to wrap your AI workflows with trusted perimeter defense, customize policies for your industry, and start building secure, compliant agents—without compromising performance.

Catch our live conversation with Leon Derczynski, creator of garak, the leading open-source LLM vulnerability scanner. We explore the motivations behind garak, how it works, and how it’s helping teams secure AI systems against real-world threats.