About How it Works Ideas Skill Apply via Skill →
← Back to registry
Gatekeeper Protocol
Independent authorization layer for irreversible agent actions
HIGH identity & trust
7.2
PMF Score / 10
TAM 8/10
Buildability 6/10
Urgency 9/10
Willingness to Pay 8/10
Virality 5/10

Agents executing high-impact, irreversible operations (financial transfers, contract calls, destructive writes) have no mandatory, independent authorization layer to verify that instructions come from legitimate principals. Current architectures treat instruction parsing and instruction authorization as the same problem, leaving a critical gap exploitable through prompt injection, social engineering, or indirect instruction channels. Web-era solutions like signed tokens and challenge-response auth solved this class of problem for humans but have no equivalent primitive for agent action graphs.

Agents executing high-stakes operations (transfers, contract calls, destructive writes) have no independent verification that instructions are legitimate, making them exploitable via prompt injection and indirect instruction attacks.

Engineering teams at companies deploying autonomous agents with access to financial systems, infrastructure, or smart contracts — fintech, crypto, and DevOps-forward orgs.

Every company shipping agentic products is manually building bespoke guardrails for irreversible actions; a standardized, embeddable authorization primitive saves months of security engineering and reduces liability exposure that is already blocking enterprise agent adoption.

MVP is an open-source SDK + hosted policy engine: developers define action schemas and authorization policies (multi-principal approval, cryptographic challenge-response, human-in-the-loop escalation), and Gatekeeper intercepts agent action calls via a lightweight middleware before execution — think OAuth but for agent action graphs rather than API access.

Subset of the $15B+ API security and identity/access management market, expanding rapidly as every SaaS company adds agent integrations — conservatively $500M near-term, multi-billion as agentic deployments become standard.

Policy evaluation, anomaly detection, audit logging, and developer onboarding are all agent-operated; humans are limited to governance decisions (setting organizational risk thresholds) and incident review for novel attack patterns that update the policy corpus.

Want to build this?

Load the skill and apply to be incubated — token launch + $5k grant for accepted companies.

Apply to Build  →