insurance with runtime loss prevention for AI agents

Your balance sheet shouldn't absorb AI failures.

Aleytheya enables insurance for autonomous AI systems. We enforce runtime policy, quantify exposure using financial loss models, and create defensible actuarial evidence to underwrite AI operations.

Works across any LLM stackOne-line deploymentNo workflow rewritesBoard-ready evidence
LIVE
Agent portfolio
Mission Control
Current exposure
$74K$83K
Highest risk agent
MedAssist
Patient-facing · PHI
31 → 6890s
BlockedUnauthorized DB actionCritical
IncidentPII exposure attempt detectedHigh
DriftRefund-policy answers changedReview
Ask Aleytheya
"Why did MedAssist risk increase today, and what should the CISO do?"
Built for the failure pattern of —
Microsoft Copilot leaked tenant data through the zero-click EchoLeak flaw.OpenClaw deleted Meta's AI safety director's inbox during routine testing.Replit's AI agent wiped a production database during a code freeze.Air Canada's chatbot invented a refund policy a government tribunal enforced.Slack AI exfiltrated private channel data via a prompt injection.McDonald's pulled its IBM AI drive-thru after viral order errors.
Thesis

Deterministic Security can't truly govern Probabilistic Intelligence.

PocketOS, Replit, Air Canada, Slack AI, Microsoft Copilot — every recent incident shows the same failure pattern: agents do not just produce text. They touch databases, infrastructure, customer data, policies, and money. When they guess, drift, or overstep, the risk becomes operational and financial.

Aleytheya exists to answer four questions for enterprises deploying AI: Which agents can hurt us? What controls are actually enforced? What is the expected financial loss? And what is the fair price of coverage?

The platform

One control plane. Four products.

Cerberus contains the blast radius. The Icarus Threshold calculates the financial exposure. Icarus' Parachute prices the risk transfer. And Aleytheya Chat delivers defensible answers for the boardroom.

Runtime control

Cerberus Protocol

Inbound, outbound, and evidence layers. Block injections, contain unsafe actions, ship SHA-256 Merkle-chained audit trails.

Secure · combat injection patterns
Contain · suppress destructive actions
Protect · 10+ compliance reports
Explore Cerberus Protocol
Intelligence interface

Aleytheya Chat

Ask which agents are riskiest, what changed today, what's still unresolved. Get answers with the events, dollars, and policies behind them.

Risk in plain English
Cited evidence on every answer
Question → drafted policy
Explore Aleytheya Chat
Risk in dollars

Icarus Threshold

Behavioral risk quantification that processes runtime telemetry through a parametric risk engine to generate an auditable, defensible dollar exposure range your CFO and board can actually act on.

Continuously Recalibrated Confidence Interval
Per-agent + portfolio score
Calibrates to your traffic
Explore Icarus Threshold
Insurance underwriting

Icarus' Parachute

An actuarially fair, fully auditable base premium derived from the Icarus loss distribution — adjusted up or down to the specific risk profile of each AI system insured.

Actuarially fair base premium
Adjusts to agent risk profile
Audit-ready derivation
Explore Icarus' Parachute
Six fundamental types of exposure

Six major operational AI
risk families.

The exact failure classes making headlines today — systematically contained by Cerberus and quantified by Icarus.

Explore the incident library
Hallucination & fabrication
False legal, financial, medical, or policy claims.
Icarus + Contain
Prompt injection & jailbreaks
External users manipulate the agent into unsafe behavior.
Secure
Data leakage & privacy
PII, PHI, secrets, and customer data leave the intended boundary.
Secure + Protect
Unsafe autonomous actions
Agents exceed scope through tools, writes, payments, or infra.
Contain + Icarus
Bias & regulatory exposure
Decision systems create compliance and discrimination risk.
Protect
Drift & model integrity
Behavior changes, supply-chain compromise, or abnormal outputs over time.
Icarus
How it works

From one URL change to a board-ready answer.

Six steps. Zero migrations. Live in either cloud or your own infra in minutes.

View the flow
STEP / 01

Connect

Point your agent's LLM base URL at Aleytheya.

STEP / 02

Discover

The agent appears automatically from observed traffic.

STEP / 03

Detect

PII, injection, anomalies, tool misuse, and drift become risk signals.

STEP / 04

Score

Exposure is converted into a dollar range and ranked by agent.

STEP / 05

Ask

Aleytheya Chat explains what changed, why it matters, and what to do.

STEP / 06

Insure

Icarus' Parachute prices and underwrites operational AI risk.

Configure at your convenience:

Option 1 — Aleytheya Hosted

Route your existing LLM traffic through Aleytheya's edge infrastructure with a single endpoint change. Cerberus and Icarus run continuously in the background — no deployment, migration, or infrastructure management required.

OPENAI_BASE_URL=https://acme.aleytheya.com/openai
Zero-install deploymentCloud-hosted runtime governanceMetadata-only telemetryNo infrastructure overhead

Option 2 — Enterprise / Self-Hosted

Deploy the Aleytheya proxy inside your own infrastructure. Cerberus and Icarus score every runtime event locally while only metadata leaves your environment. Raw prompts, completions, and credentials never cross your network boundary.

docker run -p 8080:8080 aleytheya/proxy
OPENAI_BASE_URL=http://localhost:8080/v1
Self-hosted runtime enforcementProvider agnosticMetadata-only telemetryOne-line integration
For CFOs · CISOs · AI leaders

Make AI agents governable before the incident becomes public.

Aleytheya gives leadership the controls in force, the losses at stake, the coverage position, and the evidence behind every answer.