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AI is transforming cyber security, offering organisations powerful new tools to strengthen their defences.
A recent report by Optus, Palo Alto and Cisco, Cyber Security in an AI-Driven World: Australia-Based Insights, highlights three key areas: AI for security, security for AI, and securing against AI. Security for AI remains the biggest challenge as it requires expertise in AI governance, compliance, ethics, and risk management domains – skills that many organisations are still developing.
AI is a “double-edged sword”, but businesses have an opportunity to stay ahead. While threat actors are leveraging AI to refine cyber attacks, AI-driven defences are becoming more advanced, helping businesses enhance their situational awareness and resilience. The key is ensuring AI is deployed responsibly and securely.
AI governance strategies also vary across industries. From healthcare to infrastructure, businesses that proactively align with relevant compliance frameworks, like GDPR, the Privacy Act, or the SOCI Act, will be best positioned for success. Getting AI security right means not just managing risks but unlocking AI’s full potential with confidence.
While AI automates many security functions, human expertise remains central. The real competitive advantage comes from combining AI’s efficiency with human creativity, ethics, and strategic thinking. Leading businesses are embedding AI literacy into their upskilling strategies, with strong leadership from the C-suite driving a culture of continuous learning.
Successful organisations follow a three-part strategy: AI-driven transformation, aligning AI security with business strategy, and simplifying cyber security architecture for greater visibility and control.
As AI regulations evolve, agile governance will be a defining factor in staying compliant while maintaining a strong security posture. Businesses that proactively integrate AI governance into their risk frameworks will be ahead of the curve.
Looking ahead, AI-driven threats will become more sophisticated. Social engineering, including deepfakes, will be harder to counter, while adversarial AI attacks – such as model poisoning – will escalate.
To stay ahead, organisations must invest in robust AI security frameworks that balance automation with human oversight.
David Hollingworth has been writing about technology for over 20 years, and has worked for a range of print and online titles in his career. He is enjoying getting to grips with cyber security, especially when it lets him talk about Lego.
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