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Cybersecurity in the Age of AI: Moving from Fragile to Resilient

Cybersecurity in the Age of AI: Moving from Fragile to Resilient

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Artificial intelligence is rapidly changing the cybersecurity equation for the mid-market. The same capabilities that improve business efficiency also enable threat actors to scale reconnaissance, social engineering, and exploitation at machine speed—while the attack surface expands through new APIs, third‑party services, and “shadow AI” adoption across the business.

In this environment, cyber resilience becomes business resilience: organizations need the ability to withstand an incident, operate through it, and recover quickly with minimal disruption to revenue and reputation. That shift requires moving from fragmented, alert-driven security to a unified program that manages risk across the full threat lifecycle.

In the latest Futurum Research report, Cybersecurity in the Age of AI: Moving from Fragile to Resilient, created in collaboration with N-able, we outline a pragmatic resilience framework built on three operational pillars—minimize exposure (before an alert), reduce impact (contain at machine speed), and maintain continuity (rapid, verified recovery). We also explain how to apply AI safely by pairing generative AI for interpretation with deterministic AI for validation and trusted automation.

In this report, you will learn:
  • Why AI is accelerating the threat landscape for small and mid-sized organizations (including the rise of AI-driven social engineering).
  • How to shift from reactive, alert-driven defense to a resilience program built on minimizing exposure, reducing impact, and maintaining continuity.
  • Where generative AI helps (querying, summarizing, drafting playbooks/scripts) versus where deterministic AI is essential (verification, guardrails, autonomous action).
  • How behavioral detection and trusted automation reduce “swivel-chair” latency during an active incident and limit lateral movement.
  • What “active resilience” could look like next: decentralized intelligence at the endpoint and agent-to-agent collaboration.
If you are interested in learning more, be sure to download your copy of Cybersecurity in the Age of AI: Moving from Fragile to Resilient today.

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Author Information

Fernando Montenegro

Fernando Montenegro serves as the Vice President & Practice Lead for Cybersecurity & Resilience at The Futurum Group. In this role, he leads the development and execution of the Cybersecurity research agenda, working closely with the team to drive the practice's growth. His research focuses on addressing critical topics in modern cybersecurity. These include the multifaceted role of AI in cybersecurity, strategies for managing an ever-expanding attack surface, and the evolution of cybersecurity architectures toward more platform-oriented solutions.

Before joining The Futurum Group, Fernando held senior industry analyst roles at Omdia, S&P Global, and 451 Research. His career also includes diverse roles in customer support, security, IT operations, professional services, and sales engineering. He has worked with pioneering Internet Service Providers, established security vendors, and startups across North and South America.

Fernando holds a Bachelor’s degree in Computer Science from Universidade Federal do Rio Grande do Sul in Brazil and various industry certifications. Although he is originally from Brazil, he has been based in Toronto, Canada, for many years.

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