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Solução para MSPs e equipes de TI

Cybersecurity in the Age of AI

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Futurum research report
Cybersecurity in the Age of AI

AI‑driven attacks are breaking alert‑based security—discover what true cyber resilience requires.

The data behind the risk

A snapshot of what 551 midmarket leaders are experiencing as AI reshapes the threat landscape.

of mid market organizations report a rise in AI driven phishing and deepfake attacks
experienced three or more security incidents in the past 12 months
of medium and low priority alerts are ever investigated
cite alert fatigue as a primary SOC failure point, contributing to delayed response and recurring incidents

Why traditional security is breaking down

For decades, cybersecurity programs relied on human‑speed response, fragmented tools, and reactive monitoring. AI has significantly disrupted that model.

The data shows a growing mismatch between machine‑driven attacks and human‑limited defense, which creates operational risk even when security tools are in place.

  • AI enables attackers to scale reconnaissance, phishing, and exploitation faster than humans can respond
  • Alert overload and false positives make it harder to identify real threats
  • Manual investigation introduces dangerous latency during active attacks
  • Downtime and data loss now rank as the most damaging business outcomes

Inside the Report

A resilience framework for an AI‑driven threat landscape

Cybersecurity in the age of AI introduces a practical resilience framework designed for small and mid sized organizations facing enterprise grade threats.

You’ll discover:

  • Why reactive, alert‑driven security creates systemic fragility in an AI‑accelerated threat landscape
  • How AI fundamentally changes both the attack surface and the defense model
  • Where visibility gaps and response breakdowns occur across real‑world environments
  • Why true resilience must span before, during, and after an attack—not just detection

Using the right AI for the right security decisions

The report also explains how different AI approaches must work together to deliver speed without sacrificing trust or control.

You’ll learn:

  • How organizations can contain threats at machine speed without losing operational control
  • The role of generative AI in interpretation, summarization, and analyst augmentation
  • The role of deterministic AI in verification, enforcement, and safe autonomous action
  • Why resilient security programs layer AI approaches to balance speed, accuracy, and trust

Build Resilience for the AI Era

Download the report to discover practical strategies to protect your organization against evolving threats.

Download the report