Secure and govern
your AI agents.

Block attacks. Enforce policy. Prove it happened.

Agenvia sits between your application and your LLM. Every prompt is classified, every policy is enforced, every decision is permanently recorded.

See It In Action

Every request.
Every layer.
Every decision.

Watch Agenvia intercept threats in real time across all five control layers — intent, identity, consequence, session, and audit.

Intent classification
Identity & clearance check
Consequence modeling
Session escalation guard
Cryptographic audit record
Credential attackJailbreak attemptSafe requestData exfiltration
Security Layers
Identity

Actor · Role · Scope

Intent

SetFit classifier

Policy

Rule engine

Risk Model

Threat scoring

Audit Chain

Immutable record

Incoming Prompt

agenvia · 5-layer eval · real-time

How It Works

Three calls.
Complete governance.

Your agent sends the prompt. Agenvia returns a decision. Your agent proceeds — or stops.

01

STEP 01

Authenticate once

Exchange your API key for a short-lived JWT. Carries tenant identity, agent role, and authorized scopes.

POST /auth/token
02

STEP 02

Evaluate every prompt

Send the prompt before your LLM call. Receive a decision — allow, minimize, block — with full policy trace.

POST /gateway/prompt
→ { decision,
    trace,
    safe_prompt }
03

STEP 03

Proceed or stop

Allow: call your LLM. Minimize: use safe_prompt. Block: return error. Every decision is in the audit chain.

GET /audit/verify
→ { valid: true,
    records: 12847 }

What It Does

Six layers of defense.
One API call.

Every request passes through classification, formal reasoning, consequence modeling, and session analysis — in 232ms.

Intent classification

Every prompt is evaluated for intent before reaching your model. Malicious requests are stopped at the gate.

Formal reasoning

Decisions are made against your defined policies, with a clear reason attached to every outcome.

Consequence modeling

High-impact actions are assessed before they run. Nothing escalates silently.

Session escalation

Threat patterns that develop across multiple turns are caught — not just single-prompt attacks.

Cryptographic audit trail

Every enforcement decision is logged, tamper-evident, and exportable for compliance review.

Federated learning

Your deployment gets stronger from signals across the network. No raw data ever leaves your environment.

Integration

Works with any LLM.
3 lines of code.

Agenvia is middleware, not a proxy. You keep your LLM API key, your model choice, your rate limits. We govern the decision layer.

Tier 1Prompt screening. 1 call per turn.

Tier 2PII vault. Real values never reach the LLM.

Tier 3Tool authorization. Human-in-the-loop approval.

agenvia_integration.py
# One import. Three lines.from agenvia import Agenviaclient = Agenvia(api_key="tp_...")decision = client.evaluate(  prompt=user_prompt,  actor_id=agent_id,)if decision.action == "allow":  response = my_llm.complete(user_prompt)# decision.policy_trace → full audit record# decision.safe_prompt  → PII-abstracted version

Compliance

Audit-ready from day one.

Every decision is permanently recorded and tamper-evident. Your compliance team gets a verifiable record without building anything.

GDPR

Article 22

Automated decision logging with full reasoning trace per request

HIPAA

Access log

Complete record of all health data interactions with zero gaps

SOX

Audit trail

Financial data decisions recorded, exportable, tamper-evident

ISO 27001

Access control

Role-based authorization with formal clearance intersection

Zero Trust

Every request

No implicit trust. Every agent decision verified against policy

Chain of custody

Cryptographic

Hash-linked records. Any tampering detected instantly

12,847

Decisions on record — verified

100%

Enforcement coverage — no gaps

0

Broken chain records since deployment

226ms

Avg time to audit record — real-time

Get Started

Your agents are running.
Are they governed?

Join the waitlist. First design partners get direct access to the team and shape the roadmap.