AI Agent Security Platform | Vijil

Bridge the agent trust gap at scale

Scaling agentic AI for real business value faces a predicament: delay deployment for evidence that agents are resilient, or build agents quickly that are risky and unsafe in production.

Vijil resolves this trust gap at the heart of enterprise AI. Evaluate before deployment, protect in production, and adapt to real-world conditions.

Embed trust in the agentic lifecycle

Agentic AI requires a new approach to maintaining resilience and trust for how software acts.

Between developers building agents focused on velocity to the business owners using agents to drive business value, is a new architecture, a new set of risks, and an emerging lifecycle.

Runtime behavior is non-deterministic, attacks exploit model reasoning rather than code vulnerabilities, and the threat landscape evolves daily. Trusting agents to be resilient and safe can’t be a one-off guessing game.

Vijil provides the only complete platform purpose-built for AI agent resilience across the entire lifecycle: evaluation before deployment, protection during production, and continuous, adaptive improvement from real world conditions.

Test with Diamond

Test your agents before you trust them. Diamond evaluates agent behavior against hundreds of scenarios that are specific to the agent, context and persona—reliability under stress, resistance to prompt injection, compliance with safety policies. You get a Trust Score and detailed findings in minutes, not weeks.

Protect with Dome

Protect agents in production. Dome provides real-time guardrails translated from custom evaluation policies that filter harmful inputs and outputs, detect anomalies, and enforce policies—all with latency measured in milliseconds. When something goes wrong, you know immediately.

Validate With Diamond

Know your agent's trust status. Ensure only agents with a verifiable Trust Score and Dome custom protections enabled are deployed. Set enterprise policies for enforcing agent and trust risk thresholds.

Visibility with Discover

Know every agent so you can govern them. Discover continuously scans your source code repositories, cloud infrastructure, and production environments to find every agent — sanctioned, shadow, and ungoverned — and fingerprints each one into a centralized registry. You get a complete, searchable agent inventory in minutes, not months of manual audits.

Adapt with Darwin

Improve agents continuously. Darwin learns from production telemetry and validation results—the edge cases, the failures, the drift—and uses reinforcement learning to make agents more resilient over time. Trust isn't static; Darwin keeps it current.

Platform Benefits

CHALLENGE

Convert probabilistic systems into reliable enterprise services

How Vijil Helps:

Vijil is the only complete system purpose-built for AI agent resilience across the entire lifecycle: evaluation, protection, and continuous improvement.

CHALLENGE

Traditional QA and application security tools don't work for agents, making trust reviews a lengthy, subjective and contentious process.

How Vijil Helps:

Vijil frees up developers to focus on feature development - not manual audits and reviews. Vijil’s custom evaluation shows exactly where an agent fails and what threshold it achieves—turning "is this safe?" into an answerable question with audit-ready documentation.

CHALLENGE

Policies exist — but enforcement often doesn’t.

How Vijil Helps:

Vijil translates governance requirements into evaluation policies for reliability, security and safety, and automatically generates policy-driven guardrails from evaluation output. Legal, risk and governance teams can use Vijil’s Trust Score for objective assessment, whether in terms of reliability, risk thresholds, and acceptable safety boundaries.

CHALLENGE

AI security is bolted on instead of embedded in the deployment pipeline.

How Vijil Helps:

Vijil automatically translates trustworthiness evaluation policies from evaluation into guardrails to defend agents. Security is part of the development process, with runtime protection operating to minimize failures the testing identified, contain security risks, and prevent compliance violations. Development, engineering and security can work in lockstep to improve agent resilience based on actionable guidance generated from production telemetry.

MEASURABLE RESULTS

4X

Reduction in time to trust

5X

Faster time to market for mission critical agents

10X

Remediation latency reduction for production failures

Harden your agents for the real world with Vijil

Visibility with Discover

Find Agents From First Commit to Production

Gartner predicts that by 2030 more than 40% of enterprises will experience security or compliance incidents linked to unauthorized shadow AI. Vijil Discover closes that gap by finding agents across your organization at every stage of their lifecycle, from development in a GitHub repo to deployment on an endpoint. Your governance and security teams get full visibility and control of AI usage in the enterprise.

How it works

Result

Turn unknown and ungoverned agents into a centralized, accountable registry — the foundation the rest of the Trust Lifecycle depends on.

vijil diamond

Evaluate Agents As Part of the Development Process

Stop scrambling to answer security questionnaires 6 months into deployment. Diamond catches trust issues during development—so you pass enterprise security reviews in weeks, not months.

how it works

RESULT

Answer reliability, security, and compliance questions with data, not promises. Get to production faster.

vijil dome

Protect Agents in Production

Your agents passed pre-deployment testing. Now ensure they stay trustworthy in production under hostile conditions.

how it works

RESULT

Agents stay functional while attacks are contained. Deploy with confidence. Prevent incidents before they escalate.

vijil Darwin

Continuously Improve Agent Resilience

Most security tools test once and hope nothing breaks. Darwin continuously improves agents to make them more resilient—adapting to attacks observed in production data to strengthen defenses automatically with reinforcement learning.

how it works

RESULT

Agents that learn from attacks and get stronger—not just verified once.

vijil DEPOT

Start secure instead of starting over

Don't waste 6 months fine-tuning vanilla models for security. Depot provides hardened components so you can build trusted agents in weeks, not quarters.

what you get

RESULT

Get to production faster by shortening time-to-trust by 75%.