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A control layer for everything your AI touches.

AEGIS sits between your AI applications and the users, data and threats around them, governing what goes in and what comes out.

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The Problem

AI adoption is outrunning AI governance.

Organizations are rolling out AI copilots, chatbots and internal models faster than security teams can review them. Prompts carry sensitive data out. Model outputs go unchecked back in. Nobody has a clear, auditable record of what an AI system actually saw or said.

The risk isn't the model, it's the absence of a control layer around it.

The Cyninges Approach

Inspect what goes in. Filter what comes out.

AEGIS inspects prompts and inputs, filters model responses, and enforces policy on every interaction, in real time, without slowing the application down.

Users & AppsPROMPTS & REQUESTS

→

AEGISINSPECT · FILTER · ENFORCE

→

AI Models & DataGOVERNED ACCESS

Capabilities

What AEGIS gives your team

Prompt & input inspection

What users send into AI systems is checked and classified before it reaches the model.

Output filtering

Model responses are screened before they reach the user or downstream systems.

Data leakage prevention

Sensitive data is caught at the boundary, in either direction.

Shadow AI discovery

Unauthorized or unknown AI tools in use across the organization are surfaced.

Usage visibility & audit trail

A clear, auditable record of AI interactions across the organization.

Risk-based policy enforcement

Policy applied by data sensitivity and role, not a single blanket rule.

Security Workflow

How AEGIS operates

01 Inspect→ 02 Evaluate→ 03 Enforce→ 04 Log→ 05 Learn

Deployment

Sits in front of the AI, not inside it.

01
Inline gateway
A proxy layer between users, applications and the underlying AI models.
02
API-level integration
Policy enforcement at the application's own AI API calls.
03
Public cloud, private cloud or on-premises
Including fully isolated deployments for defense and government environments.

Integrations

Works with what you run today

AEGIS is built to sit alongside identity providers, existing AI platforms and SIEM/logging tooling as a complementary control layer.

Use Cases

Where AEGIS is deployed

Government

Governance for AI adoption inside public-sector workflows.

Defense

Controlled use of AI tools around sensitive data and systems.

Enterprise

Safe rollout of copilots and internal chatbots at scale.

Regulated Industries

Auditable AI usage aligned to internal data-handling requirements.

Outcomes

What changes for your organization

Reduced leakage risk

Sensitive data no longer passes through AI systems unchecked.

Governed adoption

New AI tools launch with policy in place from day one, not retrofitted later.

Auditable usage

A clear record of AI interactions, ready when compliance asks.