Is your organization’s cybersecurity playbook obsolete? Many senior leaders in federal agencies and large enterprises may not realize they’re still relying on outdated approaches that assume cyber threats move at human speed. In the era of disruptive artificial intelligence, that assumption is dangerous.

AI‑enabled threats are accelerating, and security teams are confronting a widening “cybersecurity speed gap”—the difference between how fast attackers act and how quickly defenders can respond. According to Imran Umar, senior vice president of cyber defense at Booz Allen, that gap is growing rapidly.

Attackers can now discover and weaponize vulnerabilities in minutes instead of weeks. “What used to take days now happens in minutes—and in some cases, seconds,” Imran said.

Simply put, AI lets adversaries do more, faster. Many vulnerabilities are now exploited within 24 hours of public disclosure—often before organizations even know they’re exposed.

“Meanwhile,” Imran noted, “most defense strategies are still operating on human timelines—alerts reviewed in hours, decisions routed across teams, containment delayed until there’s confidence to act.” By the time that process begins, attackers may already have a foothold.

Closing the speed gap requires a coordinated shift in how security gaps are found and fixed, how threats are detected and contained and how access is controlled once an intrusion occurs. In a white paper, Booz Allen outlines three critical strategies organizations must adopt to operate at AI speed.

Attack to defend

“Attack to Defend” is a proactive Booz Allen approach that uses continuous validation, adversary emulation and control testing to uncover weaknesses and attack paths before attackers do. Rather than waiting for threats to emerge, organizations apply the same techniques adversaries use to strengthen defenses.

“We operationalize this through our adversary emulation platform that behaves like an autonomous attacker to identify vulnerabilities. We then map these attack paths to implement defensive tradecraft to protect your critical assets,” Imran said.

Advanced zero trust architecture

Zero trust is the second essential component. Partial implementations won’t keep pace with AI‑powered attacks, Imran warned. Zero trust must extend to every entity on the network, including traditional applications, AI‑enabled applications and the infrastructure that powers it.

“Agencies need to deploy advanced zero trust capabilities,” Imran said. “That means tightly integrating all the pillars. Without that integration, you don’t have effective defense.”

In AI environments, the challenge is that non-human actors are increasingly making or triggering decisions. AI agents need identities, context-aware access controls and continuous validation just like human users. Every API should authenticate automated agents before allowing them to connect, act or move data.

A comprehensive zero trust architecture:

• Enforces strict, data‑centric access controls (least privilege, micro‑segmentation)
• Accelerates detection and response for defensive cyber operations
• Pairs naturally with AI‑driven emulation, enabling validation of new controls under realistic pressure

AI-enabled cyber operations

The third approach shifts cyber operations from manual response to automated, AI‑speed detection and containment. At AI speed, teams cannot rely on linear workflows; detection, investigation and response must occur in parallel. Organizations must be prepared to act on partial information, using automated containment triggers when evidence meets predefined thresholds.

“Traditional ICAM [identity, credential and access management] solutions were built for humans that followed predictable patterns,” Imran said. “AI agents are becoming a 24/7 workforce. They need agentic identities that continuously validate agent context and intent.”

The same applies to APIs: every API must be able to authenticate any automated agent attempting to connect.

AI-enabled cyber operations should help teams correlate signals, prioritize risk and initiate containment before attackers can expand their foothold. The goal is not to remove analysts from the loop, but to give them decision advantage: faster context, clearer recommendations and defensible actions at machine speed.

Despite the challenges, Imran sees significant momentum. “We’re not starting from scratch. The frameworks are proven, the technology is ready, and many agencies are already moving in the right direction. Now it’s about accelerating adoption and integrating these capabilities at scale.”

In the AI era of cybersecurity, the advantage will go to organizations that can outpace threats. See how Booz Allen is helping government and industry close the cybersecurity speed gap at BoozAllen.com/Cyber.

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