SignalBreak
ActivePrevent board meeting ambush moments with continuous AI dependency intelligence.
Live visibility into which AI providers and models power your operations—with predictive awareness for deprecations, outages, and breaking changes.
Audits establish the baseline. SignalBreak maintains it.
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
Without continuous visibility, you're vulnerable to unexpected questions: "Which AI models are mission-critical?" "What's our exposure to Provider X?" "How quickly can we respond to a deprecation?" No answer erodes confidence.
Why Point-in-Time Governance Is Insufficient for AI
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
SignalBreak provides continuous intelligence across five core capabilities:
Discover
Automatically identify which AI providers, models, and workflows are in use across your organisation—without requiring manual inventories.
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 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.
Who SignalBreak Is For
CTOs & Heads of Engineering
Understand your AI estate without manual tracking. Know what your teams are building on, what's at risk, and how to respond to provider changes.
Heads of Risk & Compliance
Maintain continuous assurance between audits. Demonstrate to boards and regulators that you know what AI you operate and how you govern it.
Why Now
AI governance requirements are accelerating. ISO 42001 establishes management system standards for AI. 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.
Request Access to SignalBreak
SignalBreak is built and stewarded by Navitec Ltd. If you're responsible for AI governance, risk management, or technical oversight, we'd welcome a conversation.