GRCOPILOT Insights

Insights, guidance and product updates on cybersecurity, GRC and compliance.

AI incident response: when the model is the problem
AI & Automation

AI incident response: when the model is the problem

Traditional incident response assumes an attacker. AI incidents often have none - the system worked as built and produced harm anyway. What that changes about detection, containment and disclosure.
Governing AI agents: autonomy is a control decision, not a feature
AI & Automation

Governing AI agents: autonomy is a control decision, not a feature

An agent that can act rather than answer changes the risk entirely. How to decide what an agent may do unsupervised, contain the blast radius, and keep accountability with a person.
Deepfakes and voice cloning: verification processes that survive them
AI & Automation

Deepfakes and voice cloning: verification processes that survive them

Synthetic voice and video have made impersonation cheap and convincing. The defence is not detection technology - it is verification processes that do not depend on recognising a person.
AI governance: the complete guide
AI & Automation

AI governance: the complete guide

Regulation, standards, security and procurement pressure are arriving at once. What an AI governance programme actually contains, how ISO 42001 and the EU AI Act relate, and why the inventory is always the hardest part.
Securing LLM applications: prompt injection is an architecture problem
AI & Automation

Securing LLM applications: prompt injection is an architecture problem

You cannot filter your way out of prompt injection, because the model cannot reliably separate instructions from data. What that means for retrieval, tool use and agents - and the controls that actually hold.
Why AI for compliance must be grounded in your evidence
AI & Automation

Why AI for compliance must be grounded in your evidence

An AI that answers compliance questions from general knowledge is a liability. Why retrieval-grounded output is the only audit-defensible approach, and how to tell the difference when evaluating tools.
Adapting your risk assessment for AI systems
AI & Automation

Adapting your risk assessment for AI systems

Your existing risk methodology was built for systems that fail predictably. What changes for AI - new risk categories, impact on people rather than the organisation, and how to score models that degrade quietly.
The AI questions buyers now ask - and how to answer them
AI & Automation

The AI questions buyers now ask - and how to answer them

Security questionnaires have grown an AI section. What enterprise buyers are asking about your use of AI, why vague answers stall deals, and how to prepare answers you can evidence.
Assessing AI vendors: the questions standard due diligence misses
AI & Automation

Assessing AI vendors: the questions standard due diligence misses

Your existing vendor questionnaire was not written for AI. The additional questions that matter - training data, retention, model changes, hallucination handling and the model supply chain behind your supplier.
Sovereign AI: using AI for compliance without exporting your data
AI & Automation

Sovereign AI: using AI for compliance without exporting your data

Compliance data is exactly the data you cannot casually send to a third-party model. How to use AI for GRC while meeting residency and confidentiality obligations - and when self-hosted models are the right answer.
Shadow AI: governing the AI your staff are already using
AI & Automation

Shadow AI: governing the AI your staff are already using

Your people adopted AI tools before your policy existed. How to discover what is in use, decide what to allow, and govern it without driving usage further underground.
How AI accelerates compliance: where the weeks actually disappear
AI & Automation

How AI accelerates compliance: where the weeks actually disappear

The specific compliance tasks where AI removes the most time - cross-framework mapping, evidence review, questionnaire response, gap analysis and reporting - and what to measure to prove the gain.
AI for compliance: what it does well, and what it should never do alone
AI & Automation

AI for compliance: what it does well, and what it should never do alone

Where artificial intelligence genuinely helps compliance teams - control mapping, evidence analysis, gap detection and questionnaire response - and the guardrails that keep AI output audit-defensible.
© 2026 GRCOPILOT