AI RUNTIME INFRASTRUCTURE

The Evidence Layer
between autonomous AI
and real-world effects.

SoruvaGuard sits in the execution path of autonomous AI systems. Every action is intercepted, evaluated, and preserved as tamper-evident evidence before any effect occurs.

Capture.  Verify.  Preserve.
Execution Flow

How every decision
flows through the gate.

Step 1
Autonomous Agent
An AI agent requests execution of a tool call — an API write, a workflow step, a CRM mutation, or any action with real-world effect.
Step 2
Enforcement Gate
The gate intercepts the request synchronously. Policy is evaluated before any dispatch occurs. The verdict is one of three:
ALLOW ESCALATE CONTAIN
Step 3 — if ESCALATE
Approval Workflow
Borderline actions are parked in the Approval Queue. An operator reviews and approves or rejects before execution proceeds. Evidence is recorded either way.
Step 4
Evidence Store
Every decision — ALLOW, ESCALATE, CONTAIN, or APPROVED — is recorded as a tamper-evident Evidence Bundle. SHA-256 hash-linked. Append-only at the database level. Cryptographically verifiable on demand.
Step 5
Replay / Incident Report / Verification
Any decision timeline can be reconstructed on demand. Incident reports are generated from Evidence Bundles. Chain integrity is verifiable at any point.
Platform Roadmap

From prototype
to runtime control plane.

Each stage builds directly on the one before it. No stage requires undoing the previous one.

Stage 1
Execution Mediation
A single enforcement point intercepts tool calls, decides before the effect, and records every decision immutably. The unit of control is one action.
✅ LIVE
Stage 2
Human Approval
ESCALATE becomes a hold-and-release queue. Actions that are neither clearly safe nor clearly forbidden are parked and surfaced to a human approver. Every decision is recorded with an accountable approver.
✅ LIVE
Stage 3
Runtime Recovery
Beyond stopping a bad action, the system reasons about returning a contained runtime to a safe operating posture. The full recovery sequence is auditable.
🔧 BUILDING
Stage 4
Distributed Containment
When one runtime enters a contained posture, that posture coordinates across related runtimes. Stopping one runtime is straightforward; coordinating containment across many, safely, is the hard distributed-systems work.
📋 ROADMAP
Stage 5
Runtime Control Plane
Multiple gates and isolated executors across hosts, with coordinated policy, a shared source of truth for tool registries, and a unified audit chain spanning nodes. The unit of control becomes the fleet.
📋 ROADMAP
Why It Matters

Observability watches.
SoruvaGuard decides.

Observability
Records what happened after execution. Surfaces dashboards, alerts, and traces. By the time an alert fires, the action has already propagated.
SoruvaGuard
Intercepts before execution. Evaluates risk synchronously. Records the decision before its effect. A denied action never reaches the executor.

A denied action is not just blocked.

It becomes verifiable evidence.

EVIDENCE BUNDLE — CONTAIN EVENT
{
  "incident_id": "INC-20b71011",
  "verdict": "CONTAIN",
  "execution_blocked": true,
  "risk_score": 1.00,
  "reason": "risky keywords detected (score=1.00)",
  "event_hash": "d6d2947143a40a21...0c0dda",
  "previous_hash": "f5993d349bea0ff3...41e5",
  "chain_valid": true
}
Why SoruvaGuard Exists

The problem is no longer
what an AI says.

Traditional AI safety tools focus on outputs. They inspect what a model says and flag content that appears unsafe. This framing made sense when the primary artifact was text.

SoruvaGuard focuses on actions. As AI systems become autonomous execution engines — making API calls, triggering workflows, mutating records — the risk has shifted from what a model says to what a system does.

The problem is no longer what an AI says. The problem is what an AI does.

If this layer did not exist, an organization could not answer:
Who authorized this autonomous action?
What was the risk assessment at the moment of execution?
Was this action contained or executed — and can you prove it?
Has the evidence record been altered since it was created?
Can the full decision timeline be reconstructed for audit or legal review?
REMOVING IT CREATES AN OPERATIONAL ACCOUNTABILITY GAP
SoruvaGuard is the layer that closes it.
View Live Demo Evidence Center