The Problem
Agent prototypes are everywhere—but most don't make it to production. To scale AI, enterprises face a critical choice: ship fast or ship resilient.
- Agent prototypes are everywhere—but most don't make it to production
- Shipping fast increases failure rates and elevates risk; without objective trust evidence, agents are in security limbo
- Generic red-teaming and guardrails don't ensure agents are safe for their specific context
- Failure insights don't feed back into development, leaving the trust gap open
How Vijil Helps
Vijil resolves the trust gap for the agentic lifecycle, helping enterprises build, deploy, and improve agents for resilience. Our modular platform aligns stakeholders from agent developers to business owners—automating evaluation, defending agents in production, and continuously improving based on real-world behavior.
Key Capabilities
Vijil Diamond
Automates evaluation based on custom bespoke policies for business context and personas. Turns 'is this safe?' into an answerable question with an audit-ready Trust Score.
Vijil Dome
Enforces policies to protect and monitor agents at runtime through embedded guardrails, blocking attacks in real-time and logging detailed telemetry.
Vijil Darwin
Closes the loop by automatically transforming attack telemetry into defensive improvements—generates hardening options, validates them, and creates a developer-ready PR.
Why Customers Choose Us
- Custom: Rapid customization of evaluation for enterprise-specific trust requirements
- Context: Evaluate for business context, persona, and compliance requirements and automate conversion of policies into runtime guardrails
- Continuous: Maintain trust throughout the entire agent lifecycle, from development through production deployment
- Automated: Evaluate agents in hours across hundreds of scenarios and deploy guardrails straight away
The Vijil Trust Lifecycle
Measurable Results
Automated Evaluation for the Vijil Trust Score
The Vijil Trust Score tells you where your agent is strong, where it's vulnerable, and whether it meets deployment thresholds.
Reliability
Does the agent do what it's supposed to do?
Standard & Custom tests and probes for: Hallucinations, task failures, inconsistent responses
Security
Can the agent resist adversarial manipulation?
Standard & Custom tests and probes for: Prompt injection, data exfiltration, jailbreaks
Safety
Does the agent stay within acceptable boundaries?
Standard & Custom tests and probes for: Policy violations, harmful content, unauthorized actions
Optimize Agent Trust
The platform for agent trustworthiness and resilience
Vijil is the only complete system purpose-built for AI agent resilience across the entire lifecycle: evaluation, protection, and continuous improvement.
Platform Capabilities
Trustworthiness
Vijil Diamond quantitatively measures agent risk before deployment against comprehensive attack libraries. Turns 'is this safe?' into an answerable question with an audit-ready Trust Score.
Resilience
Vijil Dome enforces agent-aware security policies in production without modifying agent code, blocking attacks in real-time and logging detailed telemetry.
Continuous Improvement
Vijil Darwin automatically transforms attack telemetry into defensive improvements. It analyzes the vulnerability, generates hardening options, validates them, and creates a developer-ready pull request (PR).
Platform Console
Diamond (Evaluation), Dome (Protection), and Darwin (Improvement) modules can run separately but work better together.
Engineering, developers, security, and risk professionals interact with a unified console and API.
“Our enterprise customers demand trust verification before deploying AI in hiring workflows. Vijil helps us ship AI agents in six weeks instead of six months while dramatically lowering compliance costs.”
“By adapting the Google Responsible Generative AI Toolkit to the needs of enterprises in various industries, Vijil provides critical capabilities for AI developers to preserve the privacy, security and safety of custom models downstream with the same rigor that went into their original release.”
Our Team
Our team includes technical leaders and leading researchers who built the deep learning platform at Amazon SageMaker, datacenter infra for autonomous driving at BMW and Cruise, AI-driven security at Splunk, and the responsible AI platform at AT&T Labs.
Our Investors
