Agent Risk Monitoring

The trust layer
for AI agents

Make agent risk visible over time.
So it can be monitored, controlled, and insured.

5

Risk dimensions

3

Service layers

1

Risk score

2–4w

First assessment

Behavioral AnalysisHallucination TestingJailbreak ResistanceTool Call SafetyEU AI Act AlignmentAuditabilityInsurability ScoreSAIFISO 42001Adversarial TestingNIST AI RMFBehavioral AnalysisHallucination TestingJailbreak ResistanceTool Call SafetyEU AI Act AlignmentAuditabilityInsurability ScoreSAIFISO 42001Adversarial TestingNIST AI RMF

What We Stand For

Agent risk isn't a future problem. It's happening now.

AI agents are already taking real actions in your business — autonomously, at scale, with no existing standard for what safe looks like.

Agent-native by design

We test agents the way agents actually fail — through adversarial scenarios, tool-call abuse, drift over time. Not governance checklists. Not document audits.

Independent and defensible

Our scores are repeatable, structured, and produced by an independent third party. Built to withstand scrutiny from legal, compliance, procurement — and insurers.

Complementary to regulation

EU AI Act compliance tells you if your governance is documented. HyperPlan tells you if your agent is actually safe. Both questions need an answer.

The Problem

Your agents are already acting.

AI agents send emails, process payments, call APIs, and talk to your customers — autonomously, at scale. When they fail, they act incorrectly, silently, and at scale.

01

They hallucinate facts.

Wrong outputs, fabricated information — delivered with full confidence to your customers.

02

They leak data.

Jailbreaks and prompt injections open attack surfaces that classic security was never built to cover.

03

They act without authorization.

No audit trail. No evidence for your board, legal team, regulators, or insurers.

Today, nobody can measure that risk. That is the gap HyperPlan closes.

How It Works

Three steps. One decision-ready score.

01

Test

Adversarial Testing

We run your agent through rigorous adversarial scenarios across 5 risk dimensions — at build time and in production. Real attacks. Real edge cases. Real evidence.

02

Score

Risk Scoring

Every dimension produces a scored evidence package. One number. Repeatable. Defensible. Structured for procurement, legal, boards — and underwriters.

03

Act

Evidence Pack

A score your board, legal, and insurers can rely on. A structured risk profile with residual risk, remediation paths, and regulatory framework mapping.

Risk Dimensions

What we measure.

A simple framework. A complete view. Five dimensions — each producing a score. Together: the first structured risk profile of what your agent will actually do.

01

Behavior

Does the agent do what it's supposed to — and nothing else?

EU AI Act Art. 9 · ISO 42001

02

Security

Can it be manipulated, injected, or exploited?

OWASP GenAI · SAIF · EU AI Act Art. 15

03

Reliability

Does it stay consistent as models and prompts change?

EU AI Act Art. 15 · NIST AI RMF

04

Control

Can a human stop it, override it, redirect it?

EU AI Act Art. 14 · ISO 42001

05

Governance

Can you prove all of the above to someone external?

EU AI Act Art. 17–21 · ISO 42001 · NIST AI RMF · SAIF

Traceability layer — every test, tool call, and output captured, replayable, and mapped to structured evidence.

Regulatory Positioning

Beyond compliance. Into operational risk.

EU AI Act

Our 5-dimension score maps to Articles 9, 14, 15, and 17–21. Ready for conformity assessment.

ISO 42001

Governance and control evidence structured for AI management system audits.

NIST AI RMF

Measure and Manage functions addressed across all five risk dimensions.

OWASP GenAI

Addresses the top security risks specific to LLM-based and generative AI applications.

SAIF

A risk framework for securing AI systems across six core properties: secure design, secure development, secure deployment, secure operation, responsible AI, and supply chain integrity.

Offering

Start where you are. Scale as you grow.

VisibilityControlInsurability
Layer 01

Assessment

A complete risk score across 5 dimensions. Delivered in 2–4 weeks.

Layer 02

Continuous Monitoring

Your agent risk, visible over time. Drift detection, behavioral regression, always-current scoring. Know the moment something changes — before anyone else does.

Monitor your AI agents
Layer 03

Assurability Pack

Evidence insurers can price and trust. The bridge between your agent and insurance coverage.

Insurers · Reinsurers

Who It's For

Built for the people accountable for AI risk.

We’re deploying AI agents across the business. I need an overall view of what is in production, the risks these systems carry, and the evidence required for sound risk management and rising expectations under the AI Act.

Chief Risk Officer · Financial Services

When an agent is deployed in our environment, I need a standard approach and the right tooling to assess it consistently and defensibly.

CISO · Large Enterprise

Like cyber before it, AI is creating new risks and dedicated coverage is beginning to follow. We need a structured way to assess agentic AI risk, help clients mitigate it, and price it appropriately.

Underwriter · AI / Cyber Risk

Your agents are already acting.

The question is whether you can prove they're safe.