SecureTheCloud

Zero-Trust Runtime for AI Agents

Deterministic authorization, real-time risk evaluation, and cryptographically verifiable enforcement for agentic systems.

Promise Deterministic authorization
Runtime Scoped execution boundaries
Audit Cryptographic decision lineage

Runtime Authorization Graph

Deterministic evaluation flowing across policy, risk, and enforcement.

Runtime active
REQUEST Agent action initiated
RISKDNA Contextual runtime scoring
AUTHORIZATION Scoped token issuance
POLICY Deterministic decision evaluation
ENFORCEMENT Runtime boundary application

AI agents need runtime control

Static policy is not enough. SecureTheCloud evaluates context, authorizes intent, and constrains execution before risk spreads.

Problem

Identity is insufficient

Knowing who is acting does not prove the action is safe.

Problem

Detection is too late

Security must act before execution, not after.

Problem

Agents require governance

Runtime actions must be deterministic, traceable, and bounded.

Architecture

Three planes. One runtime.

Decision Plane

RiskDNA + policy evaluation.

Enforcement Plane

Token issuance, session control, revocation.

Control Plane

Audit, visibility, blast radius, governance.

Use Case

After-hours refund attempt

New device + off-hours → Risk increases → Policy evaluates → Access bounded.

Flow
  • Request detected
  • RiskDNA recalculated
  • Policy evaluated
  • Scoped access issued
  • Session governed

Evaluate SecureTheCloud

Control AI agent execution before risk propagates.