Enterprise

AI Infrastructure at
Enterprise Scale

AISP was built for production from day one. RBAC, audit trails, E2E encryption, and on-premise deployment — everything compliance-sensitive AI systems require.

RBAC for Memory Namespaces

Grant granular read/write capabilities per agent, per namespace. Orchestrators can delegate scoped access to sub-agents without exposing full credentials.

Full Audit Trails

Every session event, memory write, and capability grant is logged to NATS JetStream with cryptographic integrity. Immutable audit log for compliance and forensics.

End-to-End Encryption

All messages encrypted via WireGuard at the transport layer. Application-layer Ed25519 signatures provide integrity independent of transport. Zero plaintext paths.

On-Premise Deployment

Deploy AISP entirely within your own infrastructure. No data leaves your network. Works air-gapped. Single binary + NATS — no Kubernetes required.

Compliance Properties

Encryption
  • WireGuard E2E for all transport
  • Ed25519 application-layer signing
  • Keys never leave agent process
  • AES-256-GCM for stored state
Audit
  • All sessions logged to JetStream
  • Cryptographically signed log entries
  • Immutable append-only stream
  • Retention configurable (30d–forever)
Access Control
  • Capability-based RBAC
  • Namespace-level granularity
  • Delegatable, revocable tokens
  • ZK proofs for sensitive capabilities

Enterprise Use Cases

AI-Powered DevOps Pipeline
Infrastructure Team

A team of 8 specialized AI agents — planner, code reviewer, tester, deployer, monitor, rollback, notifier, auditor — coordinate over AISP. Each agent has a scoped namespace. The orchestrator delegates tasks via capability tokens. Full audit trail for every deployment decision.

8 agents coordinating in real-time0.4ms inter-agent latencyComplete deployment audit log
Multi-Agent Research Platform
Research Organization

Hundreds of research agents run in parallel, each analyzing a document subset. Results written to a shared CRDT namespace. No coordination overhead — CRDT merge handles concurrent writes. The orchestrator reads the final merged state when all agents complete.

200+ concurrent research agentsCRDT merge handles all conflictsZero coordination bottleneck
Financial AI Workflow
Financial Services

Compliance-sensitive AI workflows require every agent action to be logged and attributable. AISP provides cryptographically signed session logs, namespace isolation between customer data, and RBAC ensuring agents only access what they are authorized to.

Cryptographic audit trailCustomer data namespace isolationSOC 2 compatible logging

Ready to deploy AISP at scale?

Our team can help with deployment architecture, compliance review, and custom integrations.

Schedule a Demo Read the docs