Sentinel SCA is an AI governance and security infrastructure platform built around one principle: Governance Before Execution. As AI agents become capable of doing more than generating responses—executing commands, modifying infrastructure, moving funds, interacting with APIs, managing assets, operating machines, and making decisions on behalf of organizations—a new security problem emerges: capability does not automatically equal authority. Traditional monitoring and audit systems often tell organizations what happened after an action has already been executed. Sentinel SCA is designed to move governance earlier in the execution path. Before a consequential autonomous action is allowed to proceed, Sentinel evaluates the action against its identity, authority, capabilities, policy, risk, and operational context. It then returns a deterministic governance outcome: ALLOW, REVIEW, or DENY. This allows organizations to define what autonomous systems are permitted to do, what requires human oversight, and what must never execute. For example, an AI trading agent may be capable of placing a transaction, but Sentinel can determine whether that transaction falls within its authorized limits. A DevOps agent may technically be capable of installing software or changing production infrastructure, but Sentinel can require review or deny the action when it crosses defined security boundaries. The same governance model can extend to robotics, logistics, IoT, financial operations, customer identity, enterprise automation, and other systems where autonomous decisions can produce real-world consequences. Sentinel also creates durable evidence around governance decisions. Signed decision records, replay capabilities, append-only audit trails, evidence exports, capability controls, and verification mechanisms help organizations establish not only what an autonomous system attempted to do, but what authority it had, what policy was applied, what decision was made, and why execution was permitted or prevented. Sentinel SCA also supports temporal evidence through its ROKO Network integration. The Sentinel Temporal Evidence Certificate combines a Sentinel governance decision with ROKO temporal evidence to create a portable proof object that can be independently verified. This provides additional evidence about the temporal conditions surrounding a governed autonomous action while keeping Sentinel responsible for governance and ROKO responsible for temporal evidence. The architecture is designed around strict execution boundaries and fail-closed principles for consequential actions. Sentinel is not intended to make an AI model smarter or replace the underlying agent. Instead, it provides an independent control layer between what an autonomous system wants to do and what it is actually permitted to execute. The goal is straightforward: AI can propose. Policy decides. Sentinel enforces. Evidence proves. Sentinel SCA is currently live and focused on helping organizations safely adopt increasingly autonomous AI systems without giving those systems uncontrolled authority over valuable infrastructure, assets, data, or physical operations. https://github.com/sentinelSCA

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Governance Before Execution for Autonomous AI Systems

Governance Before Execution for Autonomous AI Systems