CORE Media, in association with Veeam, convened an exclusive session on ‘Data & AI Security with Cyber Resilience’, bringing together industry leaders to deliberate on a pressing question: how can enterprises accelerate AI adoption responsibly while ensuring trust, resilience, and sustained value creation.
Conducted across Bengaluru, Mumbai, and Delhi, the roundtable brought together over 100 CIOs to exchange insights on navigating this rapidly evolving landscape.
The session explored the widening gap between ambition and execution in AI strategies. As Artificial Intelligence emerges as the defining disruptor of our era — with a projected $15.7 trillion in protected economic impact by 2030, it is fundamentally reshaping industries and redefining competitive advantage. With 92% of organizations planning to increase investments in Generative AI over the next three years, and corporate use cases alone expected to drive $4.4 trillion in productivity gains, the momentum is unmistakable.
Yet, amid this rapid acceleration, the discussion turned to a critical concern: while many organizations have embarked on their AI journey, how many truly have a clear, strategic vision of where it leads?
Organizations today are grappling with three critical gaps in the AI era—the visibility gap, the resilience gap, and the AI trust gap — largely driven by insufficient visibility and control, which significantly heighten risk exposure. To bridge these gaps and enable faster, more secure business growth, enterprises must gain a clear understanding of what data and AI assets exist across environments (including shadow data), identify where sensitive data resides, track how data is being utilized by AI systems, define the entitlements granted to agents, ensure robust controls are in place to protect AI, and continuously validate that all data and AI usage remains compliant.
The roundtable highlighted Shadow AI as a growing enterprise challenge, where unchecked AI usage creates significant risks across security, data, and identity layers. Organizations face limited visibility into how AI systems access and use data, lack clarity on over-permissioned environments, and struggle to monitor data access and identity controls effectively. At the root of this challenge lies the sheer complexity of modern data and AI ecosystems, an environment marked by an AI deluge and thousands of disparate data system types.
As the digital ecosystem continues to evolve at scale, the next phase of scaling AI safely is being driven by graph intelligence, enabling enterprises to better understand interconnected data flows and risks. The guidance to organizations is clear: first, gain comprehensive visibility and control over data and AI environments; second, ensure the ability to recover and roll back AI models and data with precision; and third, unlock the full value of data to power AI-driven outcomes.
Veeam brings these capabilities together through a unified approach centered on speed, precision, DSPM (Data Security Posture Management), and governance — delivering full visibility across the ecosystem. By enabling modern infrastructure resilience, Veeam supports identity protection, data and application portability, SaaS protection, disaster recovery, cyber recovery, and secure cloud storage. This end-to-end framework ensures complete coverage and protection, helping organizations reduce their attack surface, detect threats earlier, and automate recovery — ultimately accelerating secure, scalable AI adoption.
