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Cybersecurity is racing against time. In his compelling keynote, Nikesh Arora reveals that cyber attackers now need less than an hour from targeting to data exfiltration—a timeline that renders traditional security approaches dangerously obsolete.

The stakes couldn't be higher. Tech giants are pouring roughly $350 billion into AI infrastructure, creating models that continuously learn and evolve unlike traditional predictable software. This transformation will fundamentally reshape every SaaS application we use within 3-5 years, introducing AI assistants, agent-to-agent communications, and entirely new interfaces. For security professionals, this represents both an extraordinary challenge and opportunity.

Arora details how Palo Alto Networks has "flipped the bit" from merely identifying security problems to actively solving them. This paradigm shift follows the autonomous vehicle blueprint: progressing from basic assists to co-pilot functionality, and eventually toward fully autonomous security operations. By ingesting 11 petabytes of security data daily through their XIAM platform, they're enabling not just wartime incident response but also peacetime security optimization.

The path toward truly agentic security requires building trust through demonstrated reliability. Just as we gradually accepted self-driving vehicles, security automation must earn our confidence through increasingly sophisticated assistance before we grant it full agency. This journey demands close collaboration between vendors and customers to refine these capabilities safely.

Have you considered how your security strategy needs to evolve for this AI-powered future? Join us in exploring cybersecurity's next frontier where protection happens in real-time and machines protect machines.

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From Detection to Auto-Remediation: The Future of Cybersecurity 15:05 Share

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From Detection to Auto-Remediation: The Future of Cybersecurity