Runtime Governance for AI Agents

Your Anti-Hallucination
Solution for Enterprise AI

Aegis Kernel stops hallucinated actions before they execute — and generates cryptographic proof for every decision. Not monitoring. Not guardrails. Enforcement.

See Aegis in Action → How It Works
LLMs · Agents · Tools · RAG
↓ every action routes through
AEGIS GOVERNANCE GATE
↓ policy decision in <250ms
✓ Approved Action
⊘ Blocked Action
🔐 Cryptographic proof sealed to immutable ledger
The Real Problem

The problem isn't bad answers.
It's unauthorized actions.

AI agents are making decisions, triggering workflows, and accessing data without runtime authority. Monitoring tells you what went wrong yesterday. Governance decides what's allowed to happen today.

⚖️

Compliance breaches

Wrong advice, wrong disclosures, wrong process. Every violation carries regulatory penalties and reputational damage.

🔓

Unauthorized decisions

Agents inventing authority, making critical calls beyond their permissions without human approval.

⚠️

Customer harm & liability

Incorrect actions taken with confidence. Your organization owns every AI decision — legally.

📋

No defensible audit trail

Who approved what, when, under what policy? Without proof, you can't defend your systems in court.

Monitoring tells you what happened. Governance decides what is allowed to happen.

$67B
AI hallucination damage globally, growing 56% year-over-year
$9.77M
Average healthcare breach cost — the highest of any industry
91%
Of enterprises lack AI governance frameworks today
1.3B
AI agents projected by 2028 — most without runtime controls
The Solution

Aegis Kernel: the runtime governance
gate in front of your AI

What Aegis Is
Pre-execution authority for every AI action
A runtime governance gate that sits in front of your LLMs, agents, and tools. It authorizes or blocks actions before they execute — based on your policies. Every decision generates cryptographic proof for audit and regulators.
How It Deploys
Bolt-on to any AI stack
As a gateway/proxy for commercial LLM APIs (ChatGPT, Claude, Gemini), as an SDK inside your own agent applications, or with connectors to your tools, data stores, and observability stack. Model-agnostic. Vendor-agnostic.
What Aegis Is Not
  • Another LLM, chatbot, or "copilot"
  • A monitoring dashboard that tells you what went wrong yesterday
  • Tied to any single vendor model
  • Probabilistic safety that "tries its best"

LLMs optimize for answers. Aegis decides what they're allowed to do.

How It Works

Three layers of enforcement

01

Policy Gate

Your rules compiled and cryptographically hashed. No "interpretive" safety — deterministic enforcement of who can do what, with which data, under which constraints.

02

Runtime Authority

Every AI action — API calls, tool use, data access — is approved, modified, or blocked in real-time. Double-gate approval for high-risk changes. Under 250ms latency.

03

Cryptographic Proof

Every decision sealed to an immutable ledger. Forensic-grade evidence logs designed for courtroom standards. Board-defensible, regulator-ready.

Industry Agnostic

Built for wherever AI decisions carry consequences

🏦

Financial Services

Trading algorithms, loan decisioning, KYC/AML automation. Prove to SEC and FINRA that your AI never violated Reg BI.

"Can you prove your AI trading system never exceeded its mandate?"
⚕️

Healthcare

Clinical decision support, patient triage, diagnostics. Prove HIPAA compliance and that AI followed medical guidelines.

"What happens when your AI diagnostic tool is wrong — and there's no audit trail?"
⚖️

Legal Tech

Contract analysis, legal research, e-discovery. Protect attorney-client privilege and prevent unauthorized disclosures.

"What if your AI research tool leaked privileged information?"
🛡️

Defense & Government

Intelligence analysis, classified data processing, autonomous systems. Ensure CMMC compliance and prevent data leaks.

"How do you ensure AI agents don't leak classified information?"
🏢

Insurance

Claims processing, underwriting, risk assessment. Prove your AI didn't discriminate in coverage or claims decisions.

"Can you prove your AI didn't discriminate in claims denials?"
☁️

Enterprise SaaS

White-label compliance for AI-powered products. Give your customers the auditability they're demanding.

"Your customers want proof your AI is auditable. What do you show them?"
Why Us

Pre-execution authority vs. after-the-fact monitoring

Capability Observability Tools In-House Rules Aegis Kernel ◆
Enforcement timing After the fact Varies, often bypassed Before execution
Can block actions ✕ No Partially ✓ Hard stop authority
Cryptographic proof ✕ No ✕ No ✓ Immutable ledger
Court-defensible logs ✕ No ✕ No ✓ Forensic-grade
Model-agnostic Varies Custom per stack ✓ Any LLM or agent
Policy change speed N/A Code redeploy Re-hash, instant update
Traction

We shipped the control plane first

1,000+
Governance events sealed with cryptographic audit trails
2
Live deployments — 1 beta + 1 enterprise pilot in progress
<250ms
Policy enforcement latency — faster than token generation
Get Started

Autonomy is inevitable.
Governance is not optional.

See how Aegis Kernel enforces runtime authority on your AI stack — with cryptographic proof of every decision.

Request a Demo → Read the Architecture
30-minute demo · No commitment · See enforcement on your use case
See Aegis in Action →