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Can security keep pace with AI?

The rapid evolution of AI agents, automated traffic, and post-quantum threats is challenging traditional security models. Understand the emerging landscape and learn how to build a resilient security strategy for the future.

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What you’ll learn inside

This report reflects detailed findings from more than 1,100 IT decision-makers on how they are adapting their security strategies in an AI-driven world. Discover their most persistent concerns and plans for the near future.

Agentic AI will strain identity and access: With 77% of organizations anticipating challenges in managing AI agent access, the report explores why traditional identity and access management is no longer sufficient and how to prepare for an explosion of non-human identities

Automated traffic is set to explode: Two-thirds of organizations are already using AI to automate IT operations. Learn about the security implications of growing volumes of machine-generated traffic and why it must all be secured.

Distributed AI inferencing is the new edge: As 70% of organizations now use multiple AI models, a new "inference edge" has emerged as a critical security boundary. This report details why security services focused on the prompt layer are essential for mitigating new risks.

PQC is a threat today: "Harvest now, decrypt later" attacks are an immediate threat, yet only 27% of organizations are actively preparing for post-quantum cryptography (PQC). Understand the urgent steps required to protect your long-lived data now.


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