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Kieran Norton, Deloitte’s US Cyber AI & Automation leader – Interview Series
- Kieran Norton is the US Cyber AI & Automation Leader at Deloitte, with 25 years of experience in cybersecurity and technology risk management.
- He leads AI transformation efforts, helping clients enhance cyber capabilities and adopt AI technologies while managing associated risks.
- New categories of cybersecurity threats emerge with autonomous AI agents, leading to challenges in maintaining control and visibility.
- Data poisoning attacks in AI training pipelines pose risks, requiring preventive strategies like data validation and model trust assessments.
- Malicious actors can manipulate AI models post-deployment via API access, memory manipulation, and prompt injection, necessitating early detection methods.
- Traditional cybersecurity frameworks may fall short in addressing AI system risks, requiring updated processes and controls to protect against new threats.
- Cybersecurity strategies for organizations deploying generative AI should include readiness assessments, AI governance, trusted AI architecture, and enhanced SDLC.
- AI firewalls monitor and control AI system inputs and outputs to prevent misuse, protecting data and ensuring responsible AI behavior.
- Model communication protocol is an emerging framework for AI model exchange, and AI is transforming threat detection and response with advanced AI/ML models.
- The relationship between AI and cybersecurity will evolve over the next few years, offering both opportunities for improvement and new challenges in defense.
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