§ 00 / THE ENFORCEMENT LAYER
System online — < 20 ms enforcement
V. 2026.04 / EXECLAVE
Execlave — AI Agent Management Platform (AMP) for governance & enforcement
§ 00.1 — Statement
Execlave is the enforcement infrastructure that sits between your AI agents and the real world — making sure they cannot do anything your company hasn’t explicitly allowed, and generating the proof that they didn’t.
§ 00.2 — At a glance
- p50 enforcement
- < 20 ms
- Policy types
- 19
- Frameworks
- 7
- Kill-switch
- < 15 ms
Execlave by the numbers
§ 01 / By the numbers
Measured in production-like workloads
Execlave by the numbers.
01 · p50 enforcement<20ms
02 · built-in policy types19
03 · compliance frameworks7
04 · kill-switch response<15ms
05 · of governed actions logged100%
↳ OpenAI↳ Anthropic↳ LangChain↳ LlamaIndex↳ CrewAI↳ AutoGen↳ MCP↳ Python↳ TypeScript↳ PostgreSQL◆ SOC 2◆ HIPAA◆ GDPR◆ ISO 27001◆ EU AI Act◆ PCI DSS◆ NIST AI RMF↳ OpenAI↳ Anthropic↳ LangChain↳ LlamaIndex↳ CrewAI↳ AutoGen↳ MCP↳ Python↳ TypeScript↳ PostgreSQL◆ SOC 2◆ HIPAA◆ GDPR◆ ISO 27001◆ EU AI Act◆ PCI DSS◆ NIST AI RMF
§ 02 / The risk you can't see
Your AI agents are one prompt away from doing something you’ll regret.
Most teams ship AI agents without any layer between the model’s output and the systems it can touch. That’s not a bug — that’s the default. Without AI agent governance, the default is zero control.
The risk you can’t see
Attack / Prompt injection
Your customer support agent receives a ticket:
The verdict / At the gate
Without an enforcement layer, the agent will try. Your audit log won’t tell you why. Your auditor will ask you to prove it didn’t happen. You won’t be able to.
And if the breach doesn’t get you, the audit will:
- Q. 01
"Walk me through who is allowed to call which tools, for which agents, and under which conditions."
- Q. 02
"Pull the audit log for every action this agent took on customer data in the last 90 days. I'll wait."
- Q. 03
"Show me the moment a human approved this agent's last 10 high-impact decisions."
Most teams cannot answer any of these. Auditors know.
§ 03 / Runtime enforcement
Runtime policy enforcement — a gate, not a log.
Every agent action is checked against your policies before anything reaches the real world — in milliseconds.
Execution flow with Execlave installed
§ 04 / How it works
From zero to governed in minutes.
Three steps, minutes to ship.
How it works
01 / Instrument
Add three lines to your agent.
Add 3 lines to your agent code. Our SDK traces every action, token, and cost automatically.
02 / Set rules
Declare what cannot happen.
Define policies: cost limits, model restrictions, content filters, prompt injection guards. Block or warn — your choice.
- cost_limit · $50 / day
- model · gpt-4o | claude-3.5
- block · PII in prompts
- guard · prompt injection
03 / Ship with confidence
Deploy, watch, stop.
Deploy knowing every agent is monitored, every violation caught, and the kill switch is one click away.
Kill switch
response · < 15 ms
§ 05 / Platform
Five capabilities. One control plane.
Everything you need to govern AI at scale.
Platform capabilities
Detail
Real-time traces
Structured logs with input/output, model name, token counts, latency percentiles, and cost tracking. Searchable timeline with session grouping and parent-child span trees.
✓customer-support-v2gpt-4120ms
✓data-analystclaude-sonnet340ms
✗internal-opsgpt-4—
✓customer-support-v2gpt-495ms
§ 06 / AI Agent Management Platform
Beyond enforcement. The full control plane.
Execlave is an AI Agent Management Platform (AMP): the six controls enterprises need to manage autonomous agents in production — available today.
AI Agent Management Platform capabilities
- 01 / Capability
Tiered autonomy governance
Assign every agent an autonomy level — observe, advise, act-with-approval, or autonomous — and auto-apply the recommended policy bundle for that tier. Drift detection flags when an agent outgrows its guardrails.
- 02 / Capability
Real-time cost circuit breaker
Synchronous spend caps per org, agent, user, or workspace across 1m/1h/1d/1mo windows — enforced in the policy path, not reconciled after the bill. Burn-rate alerts fire before a budget is breached.
- 03 / Capability
Agent registry & lifecycle
Inventory every agent with a lifecycle state, immutable version history, diffing, and one-click rollback. Shadow-agent detection surfaces agents calling your API without registration.
- 04 / Capability
Permission-drift detection
Baseline each agent’s tools, data sources, and permissions, then catch privilege escalation, anomalous access to sensitive or PII data, and unused over-privileged permissions.
- 05 / Capability
Eval-to-policy suggestions
Turn detected anomalies, violation patterns, and eval failures into proposed policies with confidence scoring. Accept, modify-and-accept, or reject — nothing is ever auto-enforced.
- 06 / Capability
Data-access lineage
Record what classes of data — public, internal, confidential, PII, PHI, PCI — each agent touched, with an auto-classifier, GDPR subject-access queries, and PII-by-agent reporting.
§ 06 / Deployment
Run Execlave in our cloud. Or run it in yours.
Same product. Your choice of deployment.
Deployment options
§ 07 / Compliance & security
Enterprise AI security and compliance — not an afterthought.
Compliance and security
07.1
Row-level data isolation
PostgreSQL RLS ensures your data never touches another organization.
07.2
PII detection and scrubbing
Emails, SSNs, credit cards, and API keys detected and hashed before storage.
07.3
Immutable audit trails
Cryptographically verified, append-only logs. Tamper-evident by design.
07.4
Role-based access control
Principle of least privilege. Owner, Admin, Developer, and Viewer roles across the platform.
Framework support
✓SOC 2 Type II✓HIPAA✓GDPR✓ISO 27001✓EU AI Act✓PCI DSS✓NIST AI RMF
§ 08 / START
END OF DOCUMENT
Your agents are already running. Start governing them. — Execlave: AI Agent Governance and Enforcement Platform
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