Runtime governance
OpenBox applies runtime enforcement for identity, authorization, policy, and risk across agent actions and cross-system interactions so teams can control behavior as it happens.
OpenBox
OpenBox is an AI trust platform for enterprise agentic systems. It adds runtime governance, cryptographic verification, and portable agent identity across development and execution workflows.
Overview
OpenBox is an AI trust platform for enterprise agentic systems. It is built to add governance, verification, identity, and risk controls around agent behavior so organizations can oversee actions across tools, workflows, and systems.
The platform presents itself as a way to move from fragmented oversight to a single trust layer. Its workflow covers development, execution, and monitoring, and it is designed to support runtime enforcement, cryptographic proof, and policy-based control for agent actions.
Core capabilities
Cryptographic verifiability
The platform records AI actions in an attested form, including what occurred, the input, tool calls, and decisions, so later review does not depend on reconstructed logs.
Decentralized identity for agents
Agents receive portable identities that can be authenticated across systems and environments, which helps teams govern actions without relying on anonymous automation.
Shift-left and runtime coverage
OpenBox supports governance across the lifecycle, from development to execution and monitoring, with examples such as sensitive data scanning, secrets detection, CI/CD policy checks, and red-teaming before deployment.
Trust lifecycle workflow
The trust lifecycle includes assess, authorize, monitor, verify, and adapt, combining risk baselining, OPA policies, runtime visibility, proof certificates, and human-in-the-loop adjustments.
Common use cases
Verifying agent identity
Use OpenBox when you need to assign portable identities to agents so actions can be authenticated across systems, environments, or organizational boundaries.
Runtime governance for live agents
Use the platform to enforce policy and authorization rules while an agent is running, rather than discovering issues only after an error or incident.
Audit and incident review
Use OpenBox to generate tamper-proof records of agent actions, inputs, tool calls, and decisions for later review by auditors, partners, or internal risk teams.
Governance during build and release
Use the development and pre-deployment controls to scan sensitive data, detect secrets in AI-generated code, check policies in CI/CD, and run red-teaming before release.
Adapting governance over time
Use the trust lifecycle and human-in-the-loop controls to adapt guardrails when patterns change, especially in workflows that need shared trust across teams or partners.
Pros and Cons
Pros
- Combines identity, policy, runtime governance, and verification in one platform.
- Supports both development-time checks and runtime oversight, which can reduce blind spots across the agent lifecycle.
- Provides attested records and proof-oriented outputs that are useful when teams need to explain AI behavior after an incident.
- Offers a free Growth plan alongside a custom Enterprise option, making it possible to start without immediate sales contact.
Cons
- The site does not publish numeric pricing, so buyers need to contact OpenBox for enterprise details.
- Feature detail is directional rather than exhaustive, so teams may need a demo to confirm fit with their specific stack and governance requirements.
- The public pages show supported workflows and example integrations, but they do not provide a complete integrations list on the collected sources.
FAQ
How do teams set up OpenBox?
OpenBox is designed to be added through its SDK with an API key and governance rules, and the site describes the process as three steps: generate an API key, install the SDK, and configure governance rules.
What kind of teams is OpenBox for?
OpenBox is positioned for enterprise agentic AI where teams need runtime governance, identity, verification, and compliance-oriented oversight across agent actions and cross-system interactions.
What does OpenBox do during the AI workflow?
The product centers on the trust lifecycle: assess risk, authorize with guardrails and policies, monitor runtime behavior, verify actions with tamper-proof proof certificates, and adapt with human-in-the-loop approvals and policy suggestions.
What outputs does OpenBox provide?
The source emphasizes runtime governance and cryptographic verification, but it does not list a fixed set of outputs beyond attested records, proof certificates, and observable runtime controls.
How is OpenBox priced?
Pricing is presented in a free Growth plan and a custom Enterprise plan. The pricing page does not publish numeric prices.
Quick Facts
- Category
- AI trust platform
- Primary users
- Enterprise teams building agentic AI
- Deployment model
- SDK-based platform
- Workflow focus
- Develop, execute, monitor, verify, adapt
- Pricing
- Free Growth plan; custom Enterprise plan
- Source domain
- openbox.ai
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