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
PII DETECTED
Email Redacted
Guardrail Check
APPROVED
[Cleaned & Signed]
ID: txn_9028
↳ Policy: GDPR-SAFE
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.
Standard API gateways log individual HTTP endpoints but lose track of multi-step recursive agent sessions, failing to detect downstream abuse.
System prompts and system instructions fail. Agents leak customer PII, expose internal database keys, or trigger high-value transfers.
A single recursive loop can trigger thousands of LLM calls in seconds, inflating token spend and overloading backend APIs without guardrails.
Compliance teams cannot prove what decisions an agent took, what context was passed to the model, and whether data redactions were applied.
Sluice secures the entire execution loop, protecting your core systems while maintaining agent performance.
Authenticate and trace every agent instance back to its team, environment, and specific execution ID.
Define granular policies governing which agents can invoke specific SaaS tools, internal APIs, and databases.
Evaluate payloads in real-time to block unauthorized actions, redact sensitive inputs, or request human approvals.
Generate immutable, compliance-ready records of all agent requests, responses, tool calls, and policy decisions.
Enforce cost limits by team, agent, session, or provider with automated thresholds and runaway loop detection.
Test new policies on real historical traffic to estimate impact and audit actions before promoting them to active enforcement.
Select a scenario below to see how Sluice inspects, redacts, and blocks agent actions at the gateway.
{
"query": "Look up records for support ticket 891",
"agent_id": "customer_support_bot",
"metadata": {
"email": "sarah.jenkins@gmail.com",
"phone": "+44 7700 900077"
}
}{
"query": "Look up records for support ticket 891",
"agent_id": "customer_support_bot",
"metadata": {
"email": "[REDACTED_EMAIL]",
"phone": "[REDACTED_PHONE]"
}
}Deploy Sluice in compliance-sensitive environments where data security is non-negotiable.
Prevent unauthorized financial mutations, enforce value transfer ceilings, and audit agent-initiated loan triaging.
Auto-redact Protected Health Information (PHI) and clinical records before they are uploaded to third-party LLMs.
Govern customer-facing copilots, prevent multi-tenant token leakage, and restrict database tools to read-only scopes.
Provide unified observability, route-level permission configuration, and spent forecasting across models.
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.
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")Sluice supports SaaS, VPC, and on-premise topologies to meet your enterprise data residency standards.
Managed cloud gateway with zero infrastructure overhead. Multi-region redundancy and a 99.99% uptime SLA.
Deploy Sluice inside your AWS or Azure VPC. Direct network routing using AWS Transit Gateway or Azure Private Link.
Run containerized Sluice nodes inside your Kubernetes cluster. Configure auto-scaling and local policy updates.
Process policies and redact payloads on local nodes while streaming analytics to a secure centralized dashboard.
A concise, single-screen view of Sluice's market category, wedge strategy, commercial tiers, and pre-seed target.
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.
Unlike standard security tools targeting only prompts, Sluice intercepts and sanitizes raw API payloads, enforces rate limits, and redacts PII at the gateway.
Start with regulated companies connecting AI agents to sensitive endpoints. Expand into SaaS tool governance, MCP registry integration, and cryptographic audit ledgers.
Funding round targeting £250K to £750K (or $300K to $1M USD) allocated to product engineering, pilot delivery, cloud infrastructure, and security hardening.