AI-driven threat detection

AI Driven threat hunting: Accelerating detection in the next decade of defence

AI is changing both sides of the cyber battlefield. On one side, cyber attackers are exploiting it to scale their operations. On the other, defenders have access to AI tools that can expose hidden risks with greater speed and accuracy. Love it or hate it, AI exists. You can choose to ignore the benefits. You cannot choose to wish away the threats.

In the current era of accelerated defence, threat hunting powered by AI will become one of the clearest differentiators between organisations that detect early and those that discover too late.

This reflects the reality facing UK public sector organisations. Traditional monitoring is no longer enough. For years, organisations have relied on alerts, logs and manual investigations to understand what has gone wrong. With increasingly interconnected systems, hybrid platforms and fast‑moving adversaries, yesterday’s detection models cannot keep pace with the volume, speed and complexity of modern threats.

AI-driven threat hunting represents a step change. It replaces retrospective detection with continuous behavioural insight, using models trained on millions of patterns to identify anomalies that would be practically invisible through human observation alone.

AI that understands context. Help is at hand

One of the most transformative developments is the rise of AI powered classification and analytics. One system that can help in this regard is Microsoft’s Purview. Rather than relying purely on predefined rules, Purview’s AI automatically identifies sensitive information, detects unusual access patterns and highlights behaviours that warrant investigation, even when no explicit policy has been set. It can do this as it is pretrained a huge range of categories, business data and context. Much as generative AI becomes better at creating content by being trained on more text and graphics, so the defensive AI in Purview becomes better by being trained on ever more data contexts.

In a world where generative AI is now embedded into everyday work, this matters more than ever. Sensitive information moves faster, further and more unpredictably. Manual methods cannot keep up. AI classifiers, running at cloud scale, can.

This capability elevates threat hunting beyond logging and analysis. It takes it into a world of true risk discovery. Rather than looking for known malevolent signatures, AI spots emerging behaviours. Unexpected data shares, privilege misuse or suspicious user behaviours can all be surfaced without the need for human intervention.

From detection to insight: Reducing dwell time

This emphasis on speed is crucial. The faster threats are detected, less is the opportunity attackers have to move laterally, after a breach, to escalate permissions or access sensitive data. Defensive AI supports this by:

• Identifying anomalies at scale
  AI models can analyse millions of signals, whether from devices, identities or data flows. What’s more, they can do this continuously and without fatigue. 
• Providing natural language search
  In Purview, threat hunters can ask questions conversationally, for example:
  “Show me unusual citizen access to their personal data over the last 48 hours.”
  This accelerates the ability to investigate dramatically. It takes it away from being purely the realm of ‘the technical team’ and allows for leadership engagement in cyber defence - See last week’s blog for more: https://eu1.hubs.ly/H0scb1Z0 
• Automating protective actions
  Policy driven automation allows for classifications to trigger real time controls. It can automatically limit sharing, restrict downloads or alert security teams to unusual activity.

The result is shorter dwell time and, by extension, less damage.

What good looks like in 2026

Forward looking organisations are already using AI powered threat hunting to:

• Protect sensitive data

• detect insider risks earlier

• Increase analyst efficiency by removing noise and highlighting real signals 

• Translate detection into action through automated governance paths 

This is not about replacing human judgement. It is about enhancing it, giving leaders and defenders the visibility they need to act with confidence.

How Methods helps

Methods adds its own value to Microsoft Purview implementations with:

• Advanced analytics
• Custom AI classifiers
• Integration with other Microsoft cyber systems, such as Sentinel and Defender
• Advisory support that translates insights into practical actions

In a decade where resilience will depend not just on strong defences but on seeing the threat before it strikes, AI driven threat hunting will be central to public sector resilience by design.

Join us at CyberUK 2026

We will be exploring AI driven threat hunting, data protection and the future of proactive defence at Stand F29. Come and talk to us about how AI can strengthen your organisation’s resilience.