See how Deloitte’s cyber leaders embed security and trust across the AI lifecycle so organizations can scale with confidence.
Organizations are being tasked to adopt artificial intelligence (AI) to achieve ambitious goals in operational efficiency, customer engagement, revenue, and profit growth. However, AI introduces new security risks that can derail organizational goals if not properly managed.
Cyber for AI emphasizes integrating security throughout the AI journey: from intake to secure development and testing, supported by governance and foundational cyber capabilities to manage AI risks. AI tools and platforms are not built or delivered uniformly—consider Bring Your Own Cloud (BYOC) AI or hyperscaler native AI—adding a layer of complexity to security governance.
Can your cyber security stack keep pace with AI’s speed and scale? Or, is it time to invest in next-gen defences to secure AI with AI?
As AI evolves and adoption rapidly expands, it creates different security challenges, making it harder for business leaders to design strategies that effectively counter emerging threats.
Common AI threats
Organizations need to act now and set the pace for longterm success. Securing AI transformation requires a concerted effort across the enterprise and across the AI lifecycle. That starts with understanding how AI is consumed and the threats shaping the organization’s risk landscape, and continues with putting the right controls and guardrails in place to create sustainable value amid rapid AI adoption.
Deloitte’s blueprint integrates enhanced AI governance, an AI Secure Software Development Lifecycle (SSDLC) that embeds security leading practices throughout the AI lifecycle, and a secure AI technology ecosystem supported by strong foundational cybersecurity tooling and configurations. Together, these elements help organizations manage AI risks in a coordinated, endtoend way while enabling AI to scale with confidence.