All Events and Webinars

AI as a Force Multiplier for Defenders

Cross Industry
AI and Emerging Technology
AI Threats and Risk
Leadership and Resilience
July 29, 2026
Smarttech247 CTO Robert Kehoe and Forcepoint Chief Strategy Officer Ronan Murphy explore AI’s impact on cybersecurity. They discuss how AI is accelerating attacks and defence, the growing importance of data security, Shadow AI, human oversight, skills atrophy, open-source models, and how the SOC must evolve to manage AI-driven risk.

In-House Specialists

Robert Kehoe

Chief Technology Officer

External Speakers

Ronan Murphy

Chief Data Strategy Officer

Key Strategic Takeaways

How is AI changing cybersecurity for attackers and defenders?

AI is acting as a force multiplier for both sides. Attackers can use AI to increase the speed, scale and sophistication of cyberattacks, while defenders can use it to analyse threats and make decisions faster. This compression of response times makes real-time security monitoring and effective Security Operations Centres increasingly important.

Why is data security critical when adopting AI?

AI systems are only as effective and secure as the data they can access. Giving AI unnecessary access to sensitive, regulated or proprietary information can create significant security, governance and compliance risks. Organisations therefore need appropriate data classification, access controls and guardrails as part of their AI strategy.

What is Shadow AI and why is it a security risk?

Shadow AI occurs when employees use AI tools outside approved organisational processes. For example, an employee could paste sensitive company data, intellectual property or regulated information into a public LLM. Even without malicious intent, this can expose the organisation to data loss, cybersecurity, regulatory and compliance risks.

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  • 00:00 – Welcome
  • 00:15 – Introductions
  • 00:25 – Setting the scene: AI and cybersecurity
  • 28:16 – Will organisations move to open-source AI models?
  • 29:01 – Why that shift is already happening
  • 29:37 – The data security challenges of open-source AI
  • 30:18 – Hybrid AI models and protecting sensitive data
  • 31:03 – How AI is changing the Security Operations Centre (SOC)
  • 31:40 – Understanding data risk beyond traditional logs
  • 32:19 – Human accountability, governance and compliance
  • 32:49 – The future of AI-powered security operations
  • 33:35 – Closing remarks
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