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How CISOs became the gatekeepers of $309B AI infrastructure spending
- Enterprise AI infrastructure spending is projected to reach $309 billion by 2027, with success dependent on controlling the infrastructure layer for operational scalability.
- Security vendors like Palo Alto Networks, CrowdStrike, and Cisco are seeing significant growth in AI-driven security revenue amid declining traditional infrastructure sales.
- The complexity of AI workloads is straining existing infrastructure, with enterprises requiring new approaches to manage AI at scale.
- 73% of enterprises cite infrastructure inadequacy as the primary barrier to AI adoption, while adversaries are leveraging AI faster than defenses can be deployed.
- AgenticOps sees traditional IT operations insufficient for managing AI agents at machine speed, with a focus on unified data access, collaborative environments, and purpose-built models.
- Security is becoming an accelerant to AI adoption, with traditional firewalls unable to protect AI workloads effectively.
- Silicon-embedded security with nanosecond latency is transforming security measures, significantly outperforming software-defined approaches.
- Automated platforms for vulnerability management offer rapid response, reducing breach risk and delivering ROI in under 5 months.
- Observability is crucial for AI infrastructure success, with generative UI and real-time interfaces shaping the future.
- The AI infrastructure market is consolidating, with Gartner predicting a reduction to fewer than 20 platforms by 2027, emphasizing the need to control the full stack to stay relevant.
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