Cybersecurity is entering a new phase where the core objective is no longer limited to protecting infrastructure or data, but extending to safeguarding trust in autonomous, AI-driven decision-making systems. Speaking at ET CISO Decrypt 2026, Dinesh Kamble, CISO of RBL Bank, said enterprises must rethink traditional security models as organisations increasingly rely on AI agents, digital employees, and automated systems that actively participate in business decisions. His remarks underscored a structural shift in cybersecurity priorities toward identity integrity, data authenticity, and governance of AI-enabled decision-making.

The closing keynote titled “Building a Resilient, Trusted Digital Enterprise for 2030” at ET CISO Decrypt 2026 explored how cybersecurity frameworks must evolve to address AI-led transformation, non-human identities, and trust-centric enterprise architectures over the next decade.

Opening his address, Dinesh Kamble highlighted that the nature of cyber risk has fundamentally changed with the shift from traditional architectures to microservices, APIs, automation bots, and AI-driven systems. He noted that enterprises are no longer dealing only with human users but with rapidly expanding non-human identities that now outnumber employees and increasingly participate in core business processes.

He stated that this transformation has shifted the focus of cybersecurity from protecting systems to protecting decisions themselves, as organisations begin to rely on AI agents for business-critical functions. According to him, this introduces a new layer of risk where trust in automated decision-making becomes as important as the security of underlying infrastructure.

A key theme in his address was the emergence of what he described as multiple “realities” of enterprise security: identity exposure, AI-driven attackers at scale, and autonomous decision-making systems. He warned that organisations must prepare for a future where digital employees and AI agents operate alongside human workers, significantly expanding the enterprise attack surface.

Kamble emphasised that attackers are also evolving with AI capabilities, enabling them to scale operations, automate reconnaissance, and generate highly convincing social engineering attacks. He pointed specifically to deepfake-based fraud as a growing concern, noting that traditional assumptions such as “seeing is believing” are no longer reliable in the current threat landscape.

He also outlined the challenge of AI-enabled decision integrity, highlighting that enterprises must ensure AI systems are not only functioning correctly but are also making decisions based on accurate, untainted data inputs. He referred to this as the need to protect data trust, identity trust, and decision trust across AI-driven systems.

A significant portion of the keynote focused on governance and accountability in AI-led enterprises. Kamble stressed that as organisations increasingly delegate decisions to AI systems, it becomes critical to define clear ownership structures for those decisions, ensuring accountability remains traceable even in autonomous workflows.

He further introduced the concept of operational resilience as a key pillar of future cybersecurity strategy, arguing that organisations must be prepared to respond when trust fails, whether due to system compromise, data corruption, or AI-driven misjudgment. In his view, resilience is not only about recovery but about maintaining continuity of business operations under conditions of uncertainty.

Kamble also predicted a fundamental shift in boardroom discussions by 2030, moving away from traditional security questions such as system compliance and breach readiness toward deeper trust-centric inquiries. These include whether organisations can trust their identity systems, data pipelines, AI decisions, and autonomous agents operating within enterprise environments.

He concluded that cybersecurity is evolving from securing systems and data to securing trust itself. In his view, the next decade will be defined by how effectively enterprises can establish verifiable trust frameworks for AI-driven ecosystems, ensuring that digital transformation is both secure and reliable at scale.

(With inputs from Prachi Pandey.)

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