As AI development advances, its use in cybersecurity is becoming inevitable, helping to detect and prevent cyber threats. However, bad actors can also leverage AI to develop more sophisticated attack methods, raising concerns about whether the EU AI Act will effectively enhance security or become an obstacle for businesses.
Generative AI (GenAI) offers significant advancements across various industries, but it also brings critical cybersecurity challenges that must be addressed. Expert Sahil Dhir emphasizes the importance of robust governance frameworks to ensure the responsible deployment of AI technologies while safeguarding against potential risks.
Microsoft Security VP Vasu Jakkal emphasized the importance of governance and diversity in the evolving landscape of cybersecurity, particularly with the rise of agentic AI. As organizations adopt more autonomous AI tools, Jakkal stated that cybersecurity professionals must enhance their AI skills to remain relevant and effective.
The Artificial Intelligence Act (AI Act) is the first comprehensive legal framework for regulating AI, requiring high-risk AI systems to maintain a high level of cybersecurity to protect against malicious attacks. Cybersecurity is essential not only for high-risk systems but for all AI systems that interact with users or process data, as it impacts trust, reputation, and compliance.
The UK government has introduced a Code of Practice for the Cyber Security of AI, establishing baseline security standards to address the distinct cybersecurity risks associated with AI. While voluntary, this framework aims to enhance the security of AI systems and foster trust in AI technologies.
The EU AI Act introduces significant regulatory changes that impact cybersecurity and privacy teams. Organizations must prioritize governance, visibility, and proactive risk management to comply with the new standards while leveraging opportunities for enhanced AI development and deployment.