TRUST INFRASTRUCTURE FOR AGENTIC COMMERCE

Employ agents that evolve in your interest

Every agent that buys, sells, or negotiates for you is pulled three ways: by counterparties, by attackers, and by its own incentives. Vijil evolves your agents to perform better within limits they cannot cross, and proves they stay loyal to you.

Start for free Find your agents

Trusted by

Recognized by

game of life?

Yes — but unlike the original Conway game of life, we model the behavior of two species, agents and adversaries, that compete against each other and co-evolve like a predator-prey population.

Both follow the same rule: a cell lives or dies by how crowded its neighborhood is. All we added is sides — a cell surrounded by the other species switches.

When one side gains more than 8% from parity, the trailing side gets reinforced. Whoever is behind runs harder, so falling behind is what provokes adaptation. We’re building agents that adapt to adversaries with the same zeal.

THE PROBLEM WITH SELF-IMPROVING AGENTS

Agents drift toward easier rewards.

An agent that transacts is scored on outcomes: deals closed, discounts won, orders filled. Improve it against those scores and it finds the cheapest route to them, including routes that run around or through your policy. No agent decides to break a rule. The population drifts, one reward at a time, toward whatever the scores pay for. The three roles that answer for the agent see it differently — and one person may hold all three roles.

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.

TRUST LOOP FOR AGENT DEVOPS

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 and platforms you already use.

See the integrations

Frameworks

vijil discover

Identifies every agent in your organization.

·Scans code, cloud, endpoints

·SPIFFE identity per agent

·One inventory for all agents

Built on CNCF-standard SPIFFE

vijil diamond

Certifies agent behavior before you trust it.

·Bespoke test suites

·Adversarial evals at scale

·Compliance-ready reports

One engine: evaluate, verify, validate

vijil dome

Enforces your policies at runtime.

·Policies compile to rules

·Guards LLM and tool calls

·OTEL metrics built in

Mounts with two lines of code

vijil darwin

Evolves agents that improve in production.

·Learns from observability

·Synthesizes candidate fixes

·Proposes evidence-backed PRs

Every change re-verified by Diamond

Platforms

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 marketplace add vijilAI/vijil# once

> /plugin install vijil@vijil# inside your session

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

Defends every model, and the weakest the most.

Every one of the eleven improves, and the weakest gain most: 82.5 for the weakest defended, above the 78.3 of the best model that starts below it.

Undefended

Domed

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.

Start today. No sales call, no credit card. The open-source engine needs no account at all — install it and test your local agent code in minutes. The hosted console takes a short form and opens the same day.

Start for free Have us run the first one

“Vijil helps us ship AI agents in six weeks instead of six months.” — Michal Nowak, SVP Engineering, SmartRecruiters

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