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SolutionsAISafe

Governance, security and risk mitigation for AI

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What it does

Assess intellectual property exposure, test algorithmic models against attack and structure compliance with the EU AI Act.

Audit AI vulnerability
Model register · Simulation
Model register · Simulation

Your company already uses AI. Nobody asked you first.

AI exposure does not start with an approved project. It starts with a team pasting client data into a tool nobody has inventoried, and it grows for months without leaving a trace in any committee.

By then you are not governing adoption. You are discovering it.

  • 4

    Risk planes: technical, legal, reputational and operational

  • 24/7

    Watch on undeclared usage

  • 4

    Cross-checked sources behind every finding

  • T-07 d

    Early warning on regulatory change

GRID method / 4 layers

Four layers. No black boxes.

Every layer preserves source, time and confidence. The output is not more information: it is a decision with an owner and a window.

  1. 01/04 · Discovery

    Inventory and shadow AI

    Detection of unauthorised tools and sensitive-information flows.

  2. 02/04 · Red teaming

    Controlled attack

    Prompt injection, data poisoning, exfiltration and model-abuse testing.

  3. 03/04 · Governance

    Policy and risk matrix

    Go-live, privacy, accountability and compliance criteria by use case.

  4. 04/04 · Remediation

    Isolate and correct

    Containment, correction and verification before a compromised model returns.

Delivery / What reaches your desk

Not more policies. A judgement.

Governance reporting for the AI committee

GRID / AISafe · Live exposure feedAnalytical simulation
Open signals
03
Nearest decision
T-06 h
Mean confidence
78%
  • SIG-4180Sensitive dataExternal modelBlock68%T-06 h
  • SIG-4217High impactUse caseAudit89%T-18 h
  • SIG-4254Partial traceabilityEvidenceComplete77%T-34 h
Sources: OSINT · telemetry · field network
  1. IP exposure

    Secret leakage in LLMs

    Information controls across internal models, copilots and third-party services.

    01
  2. High-impact AI

    Automated decisions

    Bias, explainability, human oversight and legal-accountability review.

    02
  3. Daily

    Operational briefing

    Prioritised signals, recommended decision and action window for the frontline team.

    03
  4. Weekly

    Exposure report

    Scenario evolution, material changes and mitigation measures for functional leaders.

    04
  5. Monthly

    Executive memorandum

    Consolidated view for leadership and board: impact, open decisions and cost of inaction.

    05

Criteria / Answers

Fair questions.

Does AISafe build the AI system inventory?

Yes. It identifies tools, owners, data, vendors and affected decisions to establish an exposure register.

Does it include EU AI Act readiness?

Yes. It structures technical and organisational evidence and controls by risk, coordinated with the organisation's legal interpretation.

Can a model be tested before production?

Yes. Red teaming is adapted to the model, its tools, data and foreseeable abuse cases.

How is shadow AI addressed?

Through discovery, risk classification, approved alternatives and proportionate controls—not blocking alone.

Next step

AI is already inside. Governance isn't.

Request a briefing

Make visible which models exist, which decisions they affect and what evidence must support them.