As businesses increasingly rely on artificial intelligence (AI) to drive innovation and growth, a new threat landscape is emerging that requires organizations to rethink their approach to cybersecurity. AI-driven threats are not only more sophisticated but also faster-moving, making it essential for companies to prioritize operational resilience as their competitive advantage.
At Commvault’s SHIFT 2026 conference, security executives emphasized the need for enterprises to evolve from a last-resort response to data recovery practices to a continuous operational discipline focused on minimizing business disruption. The growing importance of AI-driven threats and increasingly autonomous business processes is complicating the task of maintaining continuity. As Sanjay Mirchandani, president and CEO of Commvault, put it, “AI is changing the durable advantage you have built for your business, your brand, your supply chain, your data.” In this new era, resilience will be the key to success.
The threat landscape has become more complex due to AI’s ability to automate and accelerate various aspects of cyber attacks, such as reconnaissance, exploit development, social engineering, and lateral movement. This has compressed the time organizations have to detect and contain an intrusion, leaving them with little room for error. At the same time, enterprises are increasingly embedding AI into business processes, workflows, and decision-making, creating new dependencies on data, applications, and autonomous systems.
As a result, the ability to contain incidents, preserve trusted operations, and recover without derailing business activity has become more crucial than ever. “Attackers these days can move faster with a level of automation not available before,” noted Rajeev Kottomtharayil, chief products officer at Commvault. “Increasingly, recovery is becoming not just about speed but bringing back clean data.” The question for organizations is no longer if something will break but what the blast radius is and how quickly they can recover to a trusted state.
Business innovation and enablement are driving the need for greater operational resilience. By embracing AI-driven innovation, companies can gain a competitive advantage from turning intelligence into action quickly while managing risks and consequences. As Pragnesh Dave, head of generative AI and ML sales at AWS, pointed out, “AI is collapsing the amount of time it takes to move from an idea to an outcome.” However, this also means that organizations need to be able to recover quickly when something goes wrong.
To stay ahead in this rapidly changing landscape, companies must prioritize operational resilience as a business priority. This includes adopting continuous detection and recovery technologies, harnessing AI to migrate workload to the “digital edge” with humans providing oversight, and developing a culture of innovation and experimentation. As Peter Diamandis, futurist, entrepreneur, and founder and chairman of the XPRIZE Foundation, argued, “AI gives us all access to capabilities that were once scarce.” The qualities that matter most will be the speed at which an organization can recover from disruptions.
In conclusion, as AI-driven threats continue to evolve, organizations must adapt their approach to cybersecurity by prioritizing operational resilience. By adopting a culture of innovation and experimentation, embracing continuous detection and recovery technologies, and developing a resilient operating model, companies can stay ahead in this rapidly changing landscape and maintain their competitive advantage.
Source: Dark Reading — 2026-11-11