Compliance gateway proxy for sensitive AI integrations

Compliance-Aware
API Gateway
for Sensitive AI Traffic

Connect your AI agent actions to Sluice. Protect company APIs with PII redaction, real-time security guardrails, rate limiting, and human-in-the-loop approval workflows.

0.2ms

Overhead Latency

99.8%

PII Detection

100%

Offline Sandbox

SLUICE CORESECURE

PII DETECTED

Email Redacted

Guardrail Check

CORS Policies
Sandbox Safe

APPROVED

[Cleaned & Signed]

Audit Log

ID: txn_9028

↳ Policy: GDPR-SAFE

The Agent Security Gap

API gateways were not built for autonomous agents.

AI agents don't just generate text; they make decisions, call APIs, use tools recursively, and process customer data. Traditional security systems fail because agent execution is dynamic and unpredictable.

Session Blindness

Standard API gateways log individual HTTP endpoints but lose track of multi-step recursive agent sessions, failing to detect downstream abuse.

Execution Risk

System prompts and system instructions fail. Agents leak customer PII, expose internal database keys, or trigger high-value transfers.

Runaway Cost Loops

A single recursive loop can trigger thousands of LLM calls in seconds, inflating token spend and overloading backend APIs without guardrails.

Audit Failures

Compliance teams cannot prove what decisions an agent took, what context was passed to the model, and whether data redactions were applied.

Platform Capabilities

One control plane for AI agent execution

Sluice secures the entire execution loop, protecting your core systems while maintaining agent performance.

Agent Identity Management

Authenticate and trace every agent instance back to its team, environment, and specific execution ID.

Tool Permission Registry

Define granular policies governing which agents can invoke specific SaaS tools, internal APIs, and databases.

Runtime Policy Engine

Evaluate payloads in real-time to block unauthorized actions, redact sensitive inputs, or request human approvals.

Cryptographic Audit Logs

Generate immutable, compliance-ready records of all agent requests, responses, tool calls, and policy decisions.

Token Budget Controls

Enforce cost limits by team, agent, session, or provider with automated thresholds and runaway loop detection.

Policy Shadow Mode

Test new policies on real historical traffic to estimate impact and audit actions before promoting them to active enforcement.

Interactive Demo

Observe Sluice Policy Enforcement

Select a scenario below to see how Sluice inspects, redacts, and blocks agent actions at the gateway.

Agent RequestJSON Payload
{
  "query": "Look up records for support ticket 891",
  "agent_id": "customer_support_bot",
  "metadata": {
    "email": "sarah.jenkins@gmail.com",
    "phone": "+44 7700 900077"
  }
}
Sluice Gateway OutputEnforced Result
{
  "query": "Look up records for support ticket 891",
  "agent_id": "customer_support_bot",
  "metadata": {
    "email": "[REDACTED_EMAIL]",
    "phone": "[REDACTED_PHONE]"
  }
}
Redacted & Approved
eval time: 0.2ms
Use Cases

Securing AI across regulated industries

Deploy Sluice in compliance-sensitive environments where data security is non-negotiable.

Fintech & Banking

Prevent unauthorized financial mutations, enforce value transfer ceilings, and audit agent-initiated loan triaging.

Healthcare & HIPAA

Auto-redact Protected Health Information (PHI) and clinical records before they are uploaded to third-party LLMs.

Enterprise SaaS

Govern customer-facing copilots, prevent multi-tenant token leakage, and restrict database tools to read-only scopes.

AI Platform Teams

Provide unified observability, route-level permission configuration, and spent forecasting across models.

Developer Integration

Two lines of code to secure your agents.

Wrap your existing Python or Node.js agent client with the Sluice SDK. Sluice intercepts and secures the tool calls, LLM requests, and API actions at the network boundary.

sluice-agent-wrapper.pyPython SDK
from sluice import SluiceAgentWrapper

# Wrap your existing LangChain or custom agent client
agent = SluiceAgentWrapper(
    agent_id="support_resolver_bot",
    api_key="sl_live_09f8a2bf12a...",
    environment="production"
)

# Sluice automatically inspects, redacts, and governs
response = agent.run("Process refund for CUS-8812")
Security First

Run Sluice where your data lives

Sluice supports SaaS, VPC, and on-premise topologies to meet your enterprise data residency standards.

Topology 01

Sluice Cloud SaaS

Managed cloud gateway with zero infrastructure overhead. Multi-region redundancy and a 99.99% uptime SLA.

Topology 02

Private Link / VPC

Deploy Sluice inside your AWS or Azure VPC. Direct network routing using AWS Transit Gateway or Azure Private Link.

Topology 03

Self-Hosted Helm

Run containerized Sluice nodes inside your Kubernetes cluster. Configure auto-scaling and local policy updates.

Topology 04

Hybrid Gateway

Process policies and redact payloads on local nodes while streaming analytics to a secure centralized dashboard.

Executive Summary

Investor Briefing Hub

A concise, single-screen view of Sluice's market category, wedge strategy, commercial tiers, and pre-seed target.

OpportunityCategory

Agent Access Governance

Enterprises are transitioning from AI chat to autonomous action. Agents call corporate APIs, manipulate data, and trigger workflows. Security and compliance teams lack control over who the agent is and what it can execute.

Action-First Protection

Unlike standard security tools targeting only prompts, Sluice intercepts and sanitizes raw API payloads, enforces rate limits, and redacts PII at the gateway.

Execution latency0.2ms Overhead
Business ModelMonetization

The API Integration Wedge

Start with regulated companies connecting AI agents to sensitive endpoints. Expand into SaaS tool governance, MCP registry integration, and cryptographic audit ledgers.

Dev SandboxFree
Team Cloud$499 - $1.5K / mo
Enterprise Contracts$25K - $250K+ / yr
ICP FocusRegulated fintech, health, SaaS
MilestonesPre-Seed Round

£250K - £750K Target

Funding round targeting £250K to £750K (or $300K to $1M USD) allocated to product engineering, pilot delivery, cloud infrastructure, and security hardening.

90-Day Milestones
  • 50 Discovery Calls
  • 3 Design Partners
  • 1 Paid Pilot or LOI
Founder-Market FitAI ML Compliance background