For insurers

Underwriting AI agent risk.

The same JANUS engine is built to support insurers in underwriting AI agent risk.

We provide the evidence; insurers make the decision. AgentSure does not underwrite or carry risk capital.

01 The evidence

Four questions an underwriter asks about an agent. Four things JANUS produces.

No.QuestionEvidenceFrom
01

What is the agent supposed to do?

SPECThe business rules, recovered from code and prompts.

JANUS Audit
02

What is it made of?

AI-BOMModels, packages, MCP servers and skills.

JANUS Audit
03

How does it fail under attack?

Attack evidenceSimulated attacks. Evidence, not a score.

JANUS Pentest
04

Do the rules hold in production?

Runtime recordEvery live action: allow · block · escalate · log.

JANUS Runtime Monitor
Early Access

02 The exposure

Three risks behind AI agent incidents.

80%

Supply-chain risk

up 4× since 2023

74%

Traditional security risk

up 5.6× since 2023

20%

Business-rule risk

up 11× since 2023

Share of AI agent incidents, 2023–2025. Incidents can overlap. Source: SMU Lab Research.

03 Provenance

CRPO / SMU
Spin-off

CRPO
Research centre under CSA.
SMU
Singapore Management University.
  1. Government01

    Deployed at a national government agency

  2. Insurance02

    Channel partnership with a leading global insurance firm

  3. Academia03

    Being adopted by a leading university

  4. Deployment04

    Available as SaaS or on‑premises

Let’s look at your agent.

Book a demo

or write to support@agentsure.tech