CAM is the first protocol-layer API that enforces threshold-based human consensus before any sensitive action executes, whether initiated by an AI agent, an automated system, or a human operator.
Built for compliance, healthcare, AI infrastructure, and financial services teams.
A six-stage governance pipeline that routes every sensitive request (human or AI-initiated) through trusted human approval before release.
Trigger Event
A sensitive action or data request is initiated by human or AI agent
CAM Policy Engine
CAM evaluates the action against configured governance rules
Approvers Notified
Designated humans (or approver groups) are alerted in real time
Threshold Evaluated
Release executes only if quorum is reached; veto blocks immediately
Time-Bound Execution
Access window is temporary and automatically expires
Audit Log Sealed
Every decision is cryptographically signed and immutably recorded
The CAM Protocol is built around a patent-pending multi-party approval method for sensitive releases. The defensibility is not just the interface. It's the protocol itself: how requests are routed, how thresholds are evaluated, and how releases are governed and audited.
CAM is a threshold-based governance API for sensitive digital actions. It intercepts requests from AI agents, APIs, or humans, routes them to designated approvers, allows denials to instantly block release, and grants execution only when required consensus conditions are met.
Releases are time-bound, cryptographically auditable, and non-persistent by default. The protocol is designed to embed into existing tech stacks with minimal configuration.
SafeLoc first demonstrated CAM through privacy-first location verification. The same approval-based governance API now governs AI agents, healthcare data, financial actions, and beyond.
Autonomous AI agent actions gated by human consensus before execution
Request
Action or data access requested
Approvers Notified
Authorized humans review the request
Threshold Met
Quorum consensus reached
Time-Bound Release
Temporary, auditable access granted
Autonomous systems can trigger sensitive actions (data writes, API calls, external communications) with zero human oversight.
CAM intercepts agent actions at the API layer and requires human quorum before any high-risk action executes.
Same CAM Protocol API. Different high-stakes enterprise contexts.
Model the financial exposure CAM eliminates, based on IBM's per-record breach cost benchmarks.
1. Set Your Inputs
Choose your industry sector, drag the slider to match your employee count, and select your data sensitivity level.
2. Read the Results
The right panel shows estimated breach exposure CAM eliminates, based on IBM's per-record breach cost benchmarks.
3. Compare Architectures
The bar chart at the bottom shows CAM's ephemeral model vs. traditional retained-data platforms side by side.
This model uses IBM's reported per-record breach benchmark as an illustrative reference. CAM reduces retained-data surface because releases are temporary, event-based, and not persistently stored.
Illustrative benchmark model only. Not a guarantee. Industry breach costs vary by implementation, sector, and incident scope.
illustrative benchmark
Records eliminated from breach surface
Benchmark per record used
Ephemeral / Event-Based
CAM's ephemeral architecture retains zero persistent records. These employees never enter a breach surface.
SafeLoc's ephemeral release architecture retains zero location records, eliminating the honeypot that centralized platforms create.
What the CAM API processes, and what it explicitly never touches.
CAM's architecture satisfies compliance requirements at the protocol level, not through add-on features.
| Principle | Regulations | CAM Mechanism | Design Rationale |
|---|---|---|---|
| Data Minimization | GDPR, CPRA, HIPAA | Ephemeral, event-triggered access | Data is only accessed for a specific, approved action. Never retained persistently. |
| Purpose Limitation | GDPR, CPRA, HIPAA | Request-scoped authorization | Each CAM gate is scoped to a defined action type; access cannot bleed into adjacent operations |
| No Implicit Trust | NIST ZTA, HIPAA | Threshold-based re-authorization per action | No standing access. Every request must be explicitly re-authorized by quorum. |
| Least Privilege | SOC 2, ISO 27001, NIST | Action-scoped time-bound window | Authorization window expires after the action completes; never grants broader access |
| Human Oversight of AI | EU AI Act, NIST AI RMF | Human-in-the-loop approval gate | AI agent actions cannot execute until designated human approvers reach quorum |
| Audit Accountability | HIPAA, SOC 2, PCI DSS | Cryptographically signed immutable log | Every decision is sealed, tamper-evident, and attributable to specific actors |
Priority access for healthcare, financial services, and AI infrastructure teams.