Execution enablement in progress
NexusOS is the governance and authorization layer for AI agents. Every action verified, every decision recorded, every provider replaceable.
The Problem
AI agents can now read your databases, write to your repositories, modify infrastructure, and initiate transactions. But most organizations have no control layer between the agent and those systems.
When an incident occurs, you cannot reconstruct what the agent did, on whose authority, in what order, or whether anyone reviewed the risk.
There is no mechanism to distinguish between "check the status" and "delete the production record." Both are just tool calls. Both execute immediately.
Agents have no concept of reversibility. A read query and an irreversible write carry the same authorization weight in every framework available today.
Every AI provider builds its own governance approach. Switch from Claude to GPT-4 to a local model and you rebuild governance from scratch. Every time.
Auditors are asking for AI governance documentation. The evidence package does not exist in most organizations. This is becoming a regulatory finding.
Who authorized the agent? Under what scope? Agents typically operate under a shared service account with no operator-level attribution or capability restriction.
How NexusOS Works
Every capability request passes through a mandatory ten-gate governance pipeline before any action is taken. No shortcuts. No bypasses. No self-declared trust.
Audit write failure = execution deny. No silent failures. No unaudited executions. No exceptions.
Simplified view — the interactive demo below walks through the full 10-gate pipeline.
Want the framework behind these gates? Read our AI agent governance guide (Spanish).
Cryptographic evidence attestation currently uses HMAC-SHA256 symmetric signing. Public-key signing is planned.
Interactive Demo
Watch an AI agent request a real action while NexusOS applies its guardrails — identity, policy, permission, risk, approval, and audit — before execution.
Governance pipeline
⚡ Human approval required
The AI wants to execute an action. It still cannot. Waiting for authorization…
Marcos, admin of the shared server, must approve this capability before execution.
🔏 Auditor view — signed audit trail entry
Guided demo using controlled scenarios. The same governance flow connects to real adapters.
Want to test this with your own AI workflows?
Request Early AccessCurrent Status
NexusOS currently operates a complete governance pipeline. Execution capabilities are being enabled incrementally, starting with low-risk, reversible actions. The governance layer is not tied to execution — it works regardless of which action or AI provider is on the other side.
Built by Néstor David Fleitas, Founder & CTO of Nexus AI — 15+ years in critical infrastructure.
Use Cases
These are the workflows where governance gaps are highest and the cost of an uncontrolled execution is real: infrastructure, security, compliance, automation.
AI agents read cluster health, pod status, dashboards, and logs — scoped to approved namespaces. Every query logged with operator identity. No broad cluster-admin permissions needed.
AI agents propose code, open branches, and submit PRs. Merging to main is blocked until a human authorization decision is issued and HMAC-signed. Every PR has a complete chain of custody.
AI agents triage and route tickets. Access provisioning and remediation scripts are blocked until an authorized operator approves. Audit shows who approved what and when.
AI classifies SIEM alerts by severity — automatically and instantly. Blocking an IP or isolating a host requires a human sign-off. Both the AI recommendation and the human decision are in the audit trail.
The audit chain produces tamper-evident, cryptographically signed records that map directly to SOC 2, ISO 27001, and EU AI Act control requirements, and align with the evidence expectations of ISO/IEC 42001 and the NIST AI RMF. Designed to be auditor-ready from day one.
Organizations in regulated industries need to demonstrate AI governance to auditors and regulators. Every action in NexusOS produces a regulatory-grade evidence artifact: authorized identity, risk class, approval record, audit entry.
How It Compares
Traditional Agent Frameworks
NexusOS
| Approach | Audit Trail | Risk Classes | Approval Gate | Provider-Neutral | Multi-Agent |
|---|---|---|---|---|---|
| NexusOS | HMAC chain | ✓ | ✓ HMAC-signed | ✓ | ✓ |
| M365 Copilot / Agents | M365-only | ✗ | Partial | Microsoft only | M365-only |
| ServiceNow AI Control Tower | ServiceNow-only | ✗ | Partial | SNOW only | SNOW-only |
| LangChain / LangGraph | Logs only | ✗ | ✗ | Partial | ✓ |
| Ad-hoc internal build | Custom | ✗ usually | ✗ usually | ✗ | ✗ |
Feature comparison reflects publicly documented capabilities as of June 2026.
Pricing
NexusOS itself is in controlled early access. If you already run AI agents in production and want a first governance layer now, the AI Governance Sprint is the fastest path — a fixed-scope engagement, not a platform commitment.
2–4 weeks. Fixed scope, quoted exactly after a short discovery call.
Out of scope: enabling real execution/blocking (dry-run only during the sprint), replacing your existing agent stack, more than 5 agents (quoted as an extension), SSO/IdP integration beyond the minimum needed for the dry-run, and ongoing/24-7 support.
Request the SprintEarly Access
NexusOS is in controlled early access. We are onboarding organizations that are already deploying AI agents in production environments.
No spam. We review each request personally.
✓ Request received. We review each application personally and reply by email.Early access is limited while execution capabilities are being progressively enabled.