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The Deterministic Data Plane for Agentic AI

EverytoolcallbetweenAIandAPI
governed.

Three layers of governance: input filtered, actions controlled, output verified. The only platform that covers all three.

SharkRouter is the deterministic data plane for agentic AI. It sits between AI agents and tool execution — scanning, classifying, governing, and cryptographically auditing every request through a 14-step pipeline. It is the only product that intercepts, governs, and audits at the function-call layer with cryptographic proof.

3 governance layers1,775+ testsAir-gapped ready
SharkRouter

The Problem

The Agentic Collision Course

Deterministic business APIs expect structured, predictable inputs. Probabilistic AI agents generate chaotic, unpredictable outputs. The two were never designed to meet.

Perception CollapseHallucinations → ActionsGovernance Vacuum

Everyone assumed the gateway didn't exist.

Some filter input.

One layer. Reactive.

Some monitor actions.

Out-of-band. After the fact.

None verify output.

The blind spot.

SharkRouter governs all three layers.

Three Layers. Complete Governance.

The only platform covering Input, Action, and Output.

Other tools cover one layer. Usually input. SharkRouter governs all three — with proof.

Input

Filter what goes in.

PII / DLP Pipeline

Every request scanned for secrets, PII, and sensitive data before it reaches a model.

Learn more →
Action

Control what AI does.

ToolGuard v2

42 chained micro-guards validate every tool invocation in under 15ms.

Learn more →
Output

Verify what AI produced.

Output Assurance v3

The layer nobody else has. 8 strategies confirm AI actually did what it claimed.

Learn more →

1,775 tests on the governance engine. ENFORCE mode live. Zero false positives across 458+ runs.

The Centerpiece

ToolGuard — The Function-Call Firewall

PIGuard~2ms
SchemaGuard~1ms
ScopeGuard~2ms
TaintGuard~3ms
SemanticGuard~4ms
RateGuard~1ms
MoralCompass~2ms

<15ms total added latency

ToolGuard™ Live
delete_records(batch_7)
DRY-RUN
read_portfolio(user_42)
PASSED
execute_trade(AAPL, 500)
BLOCKED

Output Assurance

Every AI governance tool stops here.

An agent says it fixed accessibility issues across 11 pages. Every other governance platform takes that at face value. Output Assurance doesn't — it runs 8 independent verification strategies and finds that only 2 files were actually modified. The other 9 were never touched. Blocked.

Strategies

8

Independent verification methods

Coverage

100%

Every agent output checked

Verdict

Pass / Fail

Binary — no ambiguity

Output verification is one layer of a four-product governance ecosystem — from open-source scanning to real-time enforcement, agent forensics, and verification.

Explore the full ecosystem →
0
Governance Score
GOVERNANCE

Measured. Not Marketed.

Open-source scoring methodology. 17 dimensions. Run Warden yourself. Verifiable, reproducible, auditable.

Market average: 28/100
Explore Governance →
EXPLORE THE PLATFORM

See SharkRouter in Action

Browse the live demo portal. Every page, every feature, real governance data.

Live demo with mock data — no signup required.

One Line. Full Governance.

100% OpenAI SDK compatible. Zero lock-in.

Standard
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user",
               "content": "Transfer $5000"}]
)
With SharkRouter
from openai import OpenAI

client = OpenAI(    base_url="https://api.sharkrouter.ai/v1"  # ← one line)
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user",
               "content": "Transfer $5000"}]
)
OPEN SOURCE

How governed are your AI agents?

One command. One score.

Warden scans your AI infrastructure and scores governance across 16 dimensions. No SharkRouter deployment required. MIT licensed.

pip install warden-ai && warden scan
YOUR SCORE
24/100
UNGOVERNED
Market average: 28/100 · SharkRouter: 91/100

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