Platform Overview
Continuous AI GovernanceIntelligence
Audits tell you where you were. SignalBreak tells you where you are — and alerts you to where you're heading.
The Problem
“What happens if our AI breaks?” — it's a board-level question that catches technical and risk leaders without a ready answer.
Operational Exposure
AI providers deprecate models, change pricing, suffer outages, or update infrastructure — often without warning. If you don’t know what you depend on, you can’t prepare.
Regulatory & Governance Risk
ISO 42001, the EU AI Act, and board scrutiny all require knowing what AI systems you operate, which providers you depend on, and how changes propagate through your organisation.
Board Meeting Ambush
“Which AI models are mission-critical?” “What’s our exposure to Provider X?” Without continuous visibility, you’re vulnerable to questions that erode confidence when you can’t answer them.
Why Point-in-Time Governance Isn't Enough
Traditional audits and GRC frameworks assume systems are deterministic and static. They establish a baseline: here's what your controls looked like on audit day.
AI systems don't work that way. Models change behaviour without code changes. Providers update infrastructure. Dependencies shift as teams experiment and iterate. The baseline from your last audit may no longer reflect reality.
Audits tell you where you were. SignalBreak tells you where you are — and alerts you to where you're heading.
This isn't about replacing audits. It's about complementing them with continuous visibility, so the baseline established during an audit remains trustworthy between assessments.
How SignalBreak Works
Continuous intelligence across five core capabilities
Discover
Select the AI providers and models your organisation relies on, and SignalBreak does the heavy lifting — continuous monitoring, risk scoring, and compliance tracking from day one.
Map
Build a living dependency map showing which systems rely on which models and providers, enabling impact analysis when changes occur.
Monitor
Track provider announcements, model deprecations, pricing changes, and infrastructure updates across 167+ sources in real time.
Alert
Receive predictive alerts when changes affect your dependencies, giving your teams time to prepare rather than scramble.
Evidence
Generate audit-ready documentation continuously, not just annually. When compliance asks “which AI systems do we operate?”, you have an answer — with evidence.
How Risk Scoring Works
SignalBreak automatically evaluates your AI portfolio to identify and prioritise risks across providers, models, and workflows.
The risk scoring model continuously analyses signals from AI providers, maps dependencies across your systems, and calculates risk scores based on exposure, criticality, and change velocity.
This allows technical and risk teams to prioritise responses and maintain continuous awareness of portfolio health.
Governance Model
Understanding the flow from workflow execution to risk assessment — how SignalBreak maintains continuous visibility across your AI estate.
This model connects workflow execution, provider monitoring, signal detection, and risk scoring to provide end-to-end visibility. The continuous feedback loop ensures that changes in the AI provider landscape are immediately reflected in your governance posture.
Why Now
AI governance requirements are accelerating. ISO 42001 establishes management system standards. The EU AI Act introduces compliance obligations tied to risk classification. Boards are asking harder questions about AI dependency and resilience.
At the same time, provider change velocity is increasing. Models deprecate faster, pricing structures shift, and infrastructure updates are frequent. The gap between “audit day” and “today” grows wider.
Organisations that wait for the next audit cycle to understand their AI exposure are accepting preventable risk.
Built for Teams Managing AI Risk
Whether you're building AI systems or governing them, SignalBreak gives you visibility.
AI & ML Leaders
Maintain visibility across your AI portfolio. Understand provider dependencies before they become outage surprises.
Risk & Compliance
Demonstrate AI governance maturity to auditors and regulators. Evidence packs aligned to ISO 42001 and EU AI Act.
Engineering & Platform
Get early warning on deprecations and breaking changes. Plan migrations before you're forced into them.
CTOs & CIOs
Board-ready reporting on AI risk posture. Single pane of glass for governance across the organisation.
Governance Frameworks We Support
Continuous compliance scoring against industry standards
ISO 42001
AI Management System standard. Track controls, generate certification evidence.
NIST AI RMF
US federal AI risk framework. Map governance activities to NIST functions.
EU AI Act
European AI regulation. Assess high-risk AI system requirements.
Start Managing AI Risk Today
Book a demo to see how SignalBreak monitors your AI dependencies and keeps you compliant — or start with a free assessment.