Aeon RiskGuard
COMING SOON — 2026

Introducing Aeon RiskGuard —
The Agent Intelligence Center

See everything your AI agents do. Optimize performance. Manage risk. Prove compliance. 100% agent observability for teams running 5 to 500+ AI agents.

19
Detection Engines
14+
Regulatory Frameworks
8
SDKs
9
Industry Packs

Aeon RiskGuard by Aeon AI Risks Management. Built for regulated enterprises operating AI agents at scale.

The Problem

Orchestrators Expand the Attack Surface

Agent orchestrators introduce six governance gaps that existing frameworks cannot address. RiskGuard closes all six.

Credential Persistence

Orchestrators hold durable API keys and OAuth tokens across sessions. A compromised agent can exfiltrate credentials silently.

Prompt Injection

External content — emails, documents, web pages — can redirect agent behavior. No existing framework detects this at runtime.

Audit Trail Gaps

Agent actions span multiple systems. Current logging captures model outputs, not the full decision chain regulators will demand.

Skill Supply Chain

Agents load third-party skills and plugins dynamically. Each is an unvetted execution context with access to your data.

Emergent Behavior

Multi-agent handoffs produce emergent behavior that no single agent's policy covers. Risk accumulates at the seams.

Observability Gap

NIST AI RMF, ISO 42001, and the EU AI Act were designed for discrete models — not runtime orchestration systems.

How It Works

Governance Without Disruption

RiskGuard operates at the orchestration layer — between your agents and the systems they act on — without requiring changes to your underlying infrastructure.

Agent Layer
OpenClaw
Kimi Claw
NemoClaw
Custom
RiskGuard Layer
Aeon RiskGuard
Policy Engine
Audit Logger
Alert System
Credential Mgr
Enterprise Systems
APIs & Databases
Email & Comms
File Systems
External Services
01

Deploy the Governance Interceptor

RiskGuard installs as a sidecar or middleware layer on your orchestration infrastructure. No changes to your models, agents, or existing pipelines required.

02

Define Policy at the Orchestration Layer

Configure action policies, credential scopes, and communication rules through the RiskGuard policy engine. Policies are versioned, auditable, and regulator-ready.

03

Monitor Agent Actions in Real Time

Every agent action — tool calls, API requests, data reads, outbound communications — is intercepted, evaluated against policy, and logged with full context.

04

Enforce, Alert, and Audit

Policy violations trigger configurable responses: block, alert, quarantine, or log-only. Every decision is written to an immutable audit trail with full decision chain context.

Platform Capabilities

Built for Regulated Enterprises

RiskGuard is designed for organizations where AI governance is not optional — banks, insurers, fintechs, and regulated enterprises that need defensible, auditable controls at the orchestration layer.

Discuss Interim Governance
  • Real-time agent action monitoring across OpenClaw, Kimi Claw, and NemoClaw
  • Policy enforcement at the orchestration layer — no model changes required
  • Credential lifecycle management and permission drift detection
  • Audit-ready decision chain logging for regulatory compliance
  • Prompt injection detection and adversarial input alerting
  • Multi-agent topology mapping and handoff risk scoring
  • Skill and plugin supply chain vetting and runtime sandboxing
  • Regulator-ready reporting exports (OSFI, EU AI Act, NIST AI RMF)
Regulatory Coverage

14+ Regulatory Frameworks

RiskGuard generates audit-ready evidence packages mapped to the frameworks your regulators require.

NIST AI RMFISO 42001EU AI ActOSFI B-10FFIEC AI GuidanceSR 11-7FSRA AI PrinciplesAIDA (Canada)DORA (EU)SOC 2 Type IIISO 27001NIST CSFPCI DSSHIPAA
Coming 2026

Get Early Access to RiskGuard

Join regulated enterprises already on the waitlist. Early access organizations will receive priority onboarding, discounted licensing, and direct input into the product roadmap.

While RiskGuard is in development, organizations can contact us for interim AI governance assessments for agent orchestrator deployments.