Organizations today are under pressure to keep up with rapid advancements in artificial intelligence (AI), a trend highlighted in a recent report from MIT Technology Review Insights. This urgency brings significant security challenges, especially as companies face an overwhelming increase in security data’s volume, velocity, and variety. The resulting complexity, compounded by disjointed toolchains, poses a formidable obstacle for security and data teams striving to maintain a proactive security stance.
To achieve their business objectives, data and AI teams must act swiftly while ensuring that security and governance are not compromised. As they implement more sophisticated AI solutions, it is crucial to prioritize proactive threat detection and response strategies that address an expanded attack surface, insider threats, and vulnerabilities within the supply chain. Melody Hildebrandt, Chief Technology Officer at Fox Corporation, emphasizes this dual focus, stating, “I’m passionate about cybersecurity not slowing us down, but I also own cybersecurity strategy. So I’m also passionate about us not introducing security vulnerabilities.”
The challenge of aligning security with AI deployment is echoed by Nithin Ramachandran, Global Vice President for Data and AI at 3M. According to Ramachandran, the company’s experience with generative AI has necessitated a reevaluation of their security approach. He notes, “With every tool we deploy, we look not just at its functionality but also its security posture. The latter is now what we lead with.” A survey conducted in June 2025 involving 800 technology executives, including 100 chief information security officers, reveals that many organizations struggle to maintain this critical balance between innovation and security.
Source: Delivering securely on data and AI strategy via MIT Technology Review