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Cut time-to-trust in agents from 6 months to 6 weeks

Vijil makes AI agents more reliable, secure, and safe for mission-critical use.
‍Use when you need security by design, verification before deployment, defense in depth at runtime, and continuous improvement based on production telemetry.

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Problem

Your agents are stuck in the twilight zone between pilot and production

You've built a powerful agent for finance, HR, legal, insurance, or travel. But you cannot convince business owners and risk officers to trust your agents in production.

Reliability

Your business owner asks: "How do I know when the agent will hallucinate? Can you give me test results for our particular real world use cases, not academic benchmarks and reassurances?"

Security

Your CISO asks: "Does your agent resist jailbreaks and prompt injections? What do you do to ensure confidentiality, integrity, and availability, other than bolt-on guardrails and cross your fingers?"

Testing...

Safety

Your GRC team asks: "Does your AI agent meet EU AI Act, NIST AI RMF, and our org-specific policies? Do you validate the agent ? And what happens when the agent fails or is attacked in production?"

Without trust, 95% of AI agents fail to reach production.

95%

Enterprises deploy trusted agents 4x faster using Vijil

Vijil's trust infrastructure makes agents reliable, safe, and secure for enterprises

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Build Ship Run Evolve

VIJIL DEPOT

Toughen agents during development with hardened LLMs, guardrails, and MCP proxy

VIJIL DIAMOND

Test for evaluation, validation, and verification before deployment

VIJIL DOME

Defend in production by deploying the agent in a minimal container with built-in guardrails inside a trusted execution environment on a confidential computing platform

VIJIL DARWIN

Continuously improve agent performance with analytics, feedback loops, and ML-driven enhancements

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Toughen your agents for the real world with Vijil

vijil diamond

VIJIL diamond

Test your agents before you trust your agents

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.

  • Tests your entire agent system (LLM, tools, MCP gateway, delegated agents)
  • Generates custom tests based on YOUR users, policies, and workflows

  • Runs continuously—during development AND in production

  • Deploys on-premises to keep your prompts and data private

  • ✓ Context-specific: Tests scenarios specific to your industry (not generic checklists)
  • ✓ Continuous: Validates trust throughout the lifecycle (not just pre-launch)
  • ✓ System-level: Catches failure modes that point solutions miss
  • ✓ Enterprise-ready: GA today with full support

Integrate security and reliability evaluation into the build process. Reduce security reviews to hours, not weeks.

download datasheet
Security risk assessment report showing a high risk level with detailed subsections on adversarial robustness and user privacy, including success rates and likelihoods.

vijil dome

VIJIL Dome

Defend agents in production

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

  • Multi-layer defense: Pattern matching + ML classifiers + embeddings + LLM-as-jury

  • Real-time protection: Blocks unsafe inputs and outputs (without slowing your system)
  • Continuous enforcement: Every interaction is checked—no gaps in coverage

  • ✓ Industry-leading accuracy: Dramatically fewer false positives and false negatives
  • ✓ Production-grade speed: Safety checks in 17ms (doesn't degrade user experience)
  • ✓ Enterprise-ready: GA today with audit trails, compliance reporting, and support

Deploy with confidence. Monitor in real-time. Prevent incidents before they escalate.

download datasheet
Flowchart of input guards for security, moderation, and privacy showing guard names, statuses, checks, and results like FLAGGED or PASSED for incoming requests.

vijil Darwin

VIJIL Darwin

Evolve self-healing agents

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.

  • Learn from production: Observes real attacks, edge cases, and policy violations
  • Strengthen automatically: RL algorithms reinforce safe behaviors, weaken risky ones
  • Verify improvements: Updated agents tested to confirm increased resilience
  • Deploy hardened versions: Continuously improved agents return to production

  • ✓ Adaptive security: Agents evolve to handle novel threats (not static defenses)
  • ✓ Reinforcement Learning: Hardens based on real-world conditions (not synthetic tests)
  • ✓ Continuous improvement: Gets better with time (like AI models, not static software)

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

User interface showing execution traces and logs with trace details including input, output, and toxicity detection results marked as passed.

vijil DEPOT

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.

  • Hardened LLMs: Prompt-injection-resistant models (industry-leading scores)
  • Production guardrails: Catch unsafe inputs and outputs before incidents
  • Agent templates: Pre-configured for reliability, security, and compliance

  • ✓  Skip months of R&D: Start with models already hardened against attacks
  • ✓  Proven security: Components tested against 1,000+ attack vectors
  • ✓  Drop-in: Works with your current framework (LangChain, CrewAI, Google ADK)

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

Vijil Depot interface displaying sections for Hardened LLMs, Input Guards, Output Guards, and Secure MCP Proxy, with options to download or run AI models.

Optimize Agents for Trust

Vijil is the only platform purpose-built for trust in the entire agent development lifecycle: development, deployment, and continuous improvement.

Development

‍Vijil Diamond measures technical risks tailored to each agent in its particular environment based on the agent spec, org policies, and user personas. Replace benchmarks with bespoke test cases.

Deployment

‍‍Vijil Dome enforces organizational policies with mandatory controls built into the agent code, detecting failures with indiustry-leading accuracy, latency, and coverage with standard telemetry.

Continuous Improvement

‍‍Vijil Darwin transforms failures into features. It analyzes traces, generates mutations, validates gains, and creates an evidence-backed patch for developers to merge into the agent code.

Trust Matters To You

Business Owner

You need to ensure reward is above threshold

Vijil delivers agents you can trust in production. Learn More →

Agent Developer

You want to improve reliability, security, and safety without reducing feature velocity.

Vijil is integrated in the most popular agent frameworks. Use it now.

Trust

Agent User

You want the agent to meet a fiduciary duty of care and competence

You don’t have to put up with bias. Learn how Vijil adapts agents to users like you.

Risk Officer

You need to ensure risk is below threshold

Don't just advocate for AI governance. Enforce mandatory policies. See how

OPEN SOURCE & COMMUNITY

garak

garak is the open source vulnerability scanner that probes LLMs for hallucinations, data leakage, prompt injections, jailbreaks, misinformation, toxicity, and many other weaknesses.

LEARN MORE
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Vijil runs garak so you can scan any LLM on any supported platform with one click. Vijil employees contribute to garak by testing and enhancing garak releases.

guardrails

Vijil advances research and development of prompt injection detection by releasing its lightweight models based on DeBERTa and Modern BERT to open source.

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trustbots screenshots

Download our models from Hugging Face: https://huggingface.co/vijil.

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Leadership

Our company
Vin Sharma
Vin Sharma
Co-Founder & CEO

Previously GM & Director of Engineering at Amazon SageMaker. 30y across AI/ML, Data, Cloud, OS, Security; 11 AWS AI services, 30 products, 10 patents, 5 papers.

Zdravko Pantic
Zdravko Pantic
Co-Founder & Head of Engineering

AWS AI senior leader; 20y in ML systems and graphics; led PyTorch, TensorFlow, and AWS SageMaker Training teams.

Radina Mihaleva
Radina Mihaleva
Head of Business Development

Previously COO at Astronomer; helped scale Lacework from $1M to $100M ARR; 20y GTM strategy & partnerships for cybersecurity; consulting and investment banking; Harvard.

Tim G. J. Rudner
Tim G. J. Rudner
Chief Scientist

Assistant Professor of Statistical Sciences and Computer Science at the University of Toronto; Faculty Member, Vector Institute; Fellow, Trinity College Cambridge; PhD Oxford; 50+ publications; 4 best paper awards; Rhodes Scholar.

https://timrudner.com

Doug Rendler
Doug Rendler
Head of Sales

Built and led high performing sales teams across cybersecurity and SaaS companies, including Mist Systems and BlueJeans Network, both of which were successfully acquired.

Steve Coplan
Steve Coplan
Head of Marketing

Founding marketing lead at Aim Security (acquired by Cato Networks), Silk Security (acquired by Armis) and BigID. Experience spanning two decades in emerging technologies and category creation.

Testimonials

“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.”

Michal Nowak
{ Senior Vice President, Engineering, SmartRecruiters }

“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.”

Manvinder Singh
{ Director of Product Management, Google. }

Get started with zero risk.

Build a trusted agent in 6 weeks
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backed by

Vijil has raised $23M to build a platform that makes AI agents more reliable, secure, and safe for enterprises.

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