VERIFIED BY VIJIL

Agents that adapt to adversaries.

Vijil continuously discovers, verifies, defends, and evolves the agents your business needs.

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Gartner Cool Vendor 2025 CB Insights AI 100
Enterprises don’t use AI agents at scale today

Agents gain ability but principals lack trust

An agent doing real work in finance, human resources, legal, insurance or travel answers to three roles: the developer who builds it, the risk owner who bounds it, and the business owner accountable for the outcome. One person may hold all three. They want the same thing — more work delegated, at higher reward and lower risk — and each role needs different evidence to say yes.

Developer
The engineer who builds it asks:

“Where does it break, and why? Give me failures I can reproduce and a fix I can ship — not a score I merely admire.”

Risk owner
The CISO who bounds it asks:

“Does it resist prompt injection? What ensures confidentiality, integrity and availability — and can I gather evidence for the EU AI Act, NIST AI RMF and ISO 42001?”

Business owner
The GM who answers for it asks:

“What can I safely delegate, and what does one bad answer cost me? Show me the return with the downside priced in — not hours saved with the failures left out.”

Ability gets agents built. Trust keeps them running.
The Trusted Agent Lifecycle

Vijil operates a trust loop around all the agents in your enterprise.

An agent that was safe last quarter is not safe now. The model changed, the tools changed, the adversaries changed. So the work of trusting it never finishes. Vijil runs that loop automatically.

Each pass leaves evidence the next one uses, so you own a process that compounds in value.

Modular capabilities. Better together.

Works wherever you build and run

Every Vijil module drops into frameworks you already use and runs on platforms you already trust.

Frameworks
Discover
Discovers agents
Finds every agent running in your enterprise.
·Scans code, cloud, endpoints
·SPIFFE identity per agent
·One inventory for all agents
Built on CNCF-standard SPIFFE
Diamond
Verifies trust
Certifies agent behavior before you trust it.
·Bespoke test suites
·Adversarial evals at scale
·Compliance-ready reports
One engine: evaluate, verify, validate
Dome
Defends trust
Enforces your policies at runtime.
·Policies compile to rules
·Guards LLM and tool calls
·OTEL metrics built in
Mounts with two lines of code
Darwin
Evolves agents
Evolves agents that improve in production.
·Learns from observability
·Synthesizes candidate fixes
·Proposes evidence-backed PRs
Every change re-verified by Diamond
Platforms
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Try it now

Plugs in to the way you work

A git-style CLI: porcelain for the lifecycle, plumbing for control — and two lines of code to harden the agent from the inside.

install
$ pip install vijil-sdk# CLI + SDK
$ pip install vijil-dome# in-agent guards
python — harden from the inside
from vijil_dome import control
@control(policy="policy.yaml")# in + out
def call_model(prompt: str) -> str:
claude code
> /plugin install vijil# in your editor
Vijil console — fleet lifecycle dashboard
Porcelainhigh-level lifecycle — one verb per step
evolve → evaluate → discover → register → protect → monitor→ adapt 
vijil evaluate my-agent --baseline
vijil protect my-agent --guards prompt_injection,pii
Plumbinglow-level CRUD when you need control
agents · evaluations · harnesses · genomes · scores · policies · personas
vijil scores history my-agent
Proof of value

Vijil defends every model, and the weakest the most.

Eleven models, evaluated on their own and again with Vijil in front of them. Every one improves. The gain tracks the starting score almost exactly, so the further a model has to come, the further Vijil brings it — 82.5 for the weakest model defended, above the 78.3 of the best of the 3 that score below it undefended.

TOK/S/$60708090100105Mistral Large 3+24.149Mistral Medium 3.5+21.9232Gemini 3.8 Flash+12.29GPT 5.6 Sol+5.332GLM 5.3+4.66Kimi K3+3.420Grok 4.6+4.130DeepSeek v4 Pro+2.313Qwen 3.8 Max+2.43Claude Fable 5.1+2.393Muse Spark 1.3+0.56080100Mistral Large 3+24.1Mistral Medium 3.5+21.9Gemini 3.8 Flash+12.2GPT 5.6 Sol+5.3GLM 5.3+4.6Kimi K3+3.4Grok 4.6+4.1DeepSeek v4 Pro+2.3Qwen 3.8 Max+2.4Claude Fable 5.1+2.3Muse Spark 1.3+0.5
Trust score is the integrated Vijil score across reliability, safety and security. Red is the model on its own; blue is the same model with Vijil defending it. Spread across the eleven falls from 38.5 points to 14.9. Twenty-two evaluation runs, one per model per state, each with its own run id. Measured 6 September 2026.

Transform feral agents into fiduciary agents.

Your first agent is free forever — the whole lifecycle, not a trial. Discover it, verify it, defend it in production, evolve it. No sales call, no credit card. Upgrade only when you add a second agent.

Start for free Have us run the first one
“Working with DigitalOcean and Vijil has made it easy to dive right in and start building.” — Benedikt Klinglmayr, Autonoma
Mayfield Gradient BrightMind Partners
Gartner Cool Vendor 2025 CB Insights AI 100 SOC 2 Type II certified
Vijil has raised $23M to build a platform that makes AI agents reliable, secure, and safe for enterprises.