Secure runtime

Secure execution. Governed by design.

Bring your AI agents, automation, or CI/CD workflows. Run them securely with policy enforcement, runtime governance, and complete execution visibility.

Talk to an architectStart with one existing workflow. Keep your current infrastructure.
Secure runtimeIllustrative view
workload coding-agent / pr-142running

Mission Fix failing unit tests in pr-142

Isolated environment

tests.run ci/unitAllowedIn mission
secret.read prod/dbBlockedNot reached
deploy.trigger prodAllowedOutside mission

Allowed by permissions. Outside the mission.

The agent can deploy. Its mission is to fix tests. Flagged for review.

Evaluated
3
Blocked
1
Outside mission
1

Secure Runtime product briefProduct brief

For your evaluation or to share internally.

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The offering

One runtime. Complete control.

Sentience Secure RuntimeOne offering · Four layers
  1. 01

    Secure runtime

    Isolate workloads and control access to infrastructure, credentials, networks, and resources.

  2. 02

    Policy enforcement

    Apply execution controls and authorization boundaries where actions take place.

  3. 03

    Runtime governance

    Evaluate agent actions against their intended objectives and operational scope.

  4. 04

    Unified visibility

    Bring execution activity, governance findings, and policy decisions into one dashboard.

Runtime governance builds on Sentience Governor, the open-source foundation that records each agent action and evaluates it against declared intent and scope. Workload isolation and policy enforcement are part of Secure Runtime.

Where it runs

Built for AI agents and CI/CD

Autonomous AI agents

Secure agent tool execution, resource access, and actions across connected systems.

Examples

  • Agent execution
  • Tool access
  • Enterprise workflows

Traditional CI/CD

Secure established build, test, and deployment workflows with controlled credentials, isolated jobs, and execution visibility.

Examples

  • Build and test
  • Deployment
  • GitHub Actions
  • Infrastructure automation

Agentic CI/CD

Govern AI agents participating in software development, testing, code changes, and deployment workflows.

Examples

  • AI coding agents
  • Automated pull requests
  • AI-assisted testing
  • Agent-driven deployment

Running agents on your own platform or sandbox? See agent infrastructure governance.

Built around your environment

Your AI stack. Your models. Your runtime.

Bring your existing AI infrastructure, from proprietary APIs to open-weight models. Choose your model provider, inference environment, and AI router. Sentience brings secure execution, governance, and visibility to the workflows you run.

Your choice

Models and inference

  • Proprietary and open-weight models
  • Self-hosted and cloud inference
  • Model routers and gateways

Workflows

  • Existing agent frameworks
  • GitHub and CI/CD platforms

Infrastructure and security

  • Cloud and private infrastructure
  • Enterprise identity and security systems
Sentience Secure RuntimeSecure execution · Policy enforcement · Governance · Visibility

Proof of concept

Start with one workflow. Prove the control.

Bring one of your existing AI agents or CI/CD workflows into a secure, isolated environment with policy enforcement, runtime governance, and execution visibility built in. Put it under real pressure against your security and performance requirements. If it falls short, discard the environment. Your risk stays minimal. If it proves itself, everything you built becomes your production runtime.

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Every POC starts with a discovery conversation: your environment, workloads, controls, and success criteria.