I’ve been in the security operations center (SOC) during live cyber attacks, when the alerts cascade faster than anyone can process them. The team is moving on instinct, trying to stop the deluge, and someone still has to brief the chief information security officer with a clear head while the adrenaline is rushing. That moment doesn’t care about your playbook, it only cares about whether you’re ready.
But the attacks from five or even two years ago are drastically different than today. Across defense and national security environments, cyber operators are facing a new reality. Artificial intelligence (AI) is accelerating both the scale and speed of threats, forcing security teams to make decisions faster than traditional cyber operations were ever designed to support.
Adversaries, including nation-state actors, now weaponize AI to shrink the time between vulnerability discovery and exploitation from weeks to mere minutes, eliminating the need for long network dwell times.
Furthermore, AI drives highly complex attacks, making deep situational context vital for defenders. This compressed timeline with immediate exploitation cycles means defenders require AI-powered security to instantly synthesize vast amounts of information to not only respond faster, but with the full context available. Without it, security teams risk missing core information like the source of an attack, intelligence around tactics, technique and procedures (TTPs), and historical baselines.
Manual playbooks cannot counter human ingenuity at machine speed; by the time an alert fires, it may be too late. Only AI can instantly synthesize these complex signals, empowering teams to execute precise cyber defenses.
For the defense industry, AI will play a central role in combating these attackers by delivering a unified picture across the mission environment and connecting data across domains so decision-makers, armed with complete information, can act at machine speed with precision.
The shift toward context-driven operations
Security leaders are adding AI features to legacy architecture, but surviving the AI era requires a shift in how analysts, data, and automation all work together.
This is where emerging defense priorities align. The Combined Joint All-Domain Command and Control (CJADC2) emphasizes integrated data and shared awareness. USCYBERCOM’s roadmap highlights AI as a force multiplier for mission execution. Together, they point to a future where decision advantage depends on context and understanding what is happening, why it matters, and what action will have the intended effect.
To operate effectively in this environment, organizations will need to move beyond simply layering AI onto existing systems. The underlying approach to cyber defense must evolve.
Four principles should guide this shift:
- Design for decision advantage: The Defense Department (DoD) has made it clear that AI’s primary role is to improve how decisions are made in complex environments, not simply accelerate individual tasks. In practice, this means AI must help analysts and operators synthesize large volumes of data into mission-relevant insight, allowing them to act with greater clarity under time pressure.
- Connect cyber activity to joint mission outcomes: Cyber operations are no longer isolated, technical functions. Initiatives, like CJADC2, are centered on delivering integrated data across domains to support more coordinated and informed decision-making at the tactical and strategic levels. For cyber teams, this means translating technical signals into an operational context that can be used alongside intelligence from other domains. Without that connection, accurate cyber data risks being underutilized.
- Support on-prem, distributed, and contested operational environments: DoW cyber operations take place across a wide range of environments, many of which are decentralized or resource constrained. Ensuring analytical and AI capabilities can operate across distributed networks without constant reliance on centralized infrastructure is essential to maintaining effectiveness.
- Strengthen coordination across commands, agencies and partners: Cyber defense depends on coordination across multiple organizations, from combatant commands to federal agencies and international partners. Improving how information is securely shared and operationalized helps build a more complete picture of the threat environment. As adversaries operate across boundaries, a more connected and collaborative approach strengthens overall resilience. This kind of coordination is increasingly central to how DoD approaches cyber operations.
- Facilitate easy onboarding and upskilling of new analysts: Security teams rapidly grow, change, and evolve and need intuitive tooling that combines a robust set of functionality with an interface that makes it easy to quickly onboard new analysts and help them to be effective day one. Platforms should show their work and provide explanations for automated actions so that junior analysts can understand the theory behind the practice.
From strategy to execution
Strategy alone will not change outcomes. The advantage comes from how quickly cyber teams can operationalize new capabilities in support of the mission. To make that possible, analysts need more time for mission-critical work, not manual tasks like correlating data or triaging alerts. Analysts can then focus on the highest-risk threats, provide better support for defensive cyber operations, and equip leaders with the information they need to make decisions.
At the same time, it’s vital to strengthen real-time information sharing across commands, joint task forces and coalition partners. Delays in sharing actionable threat intelligence can introduce operational risks. The faster and more seamlessly teams can share information, the easier it is to close visibility gaps and coordinate responses to adversary actions. Bringing AI into existing security workflows can make these efforts more effective when used in ways that fit established tactics, techniques and procedures.
Improving how different platforms like SIEMs, extended/endpoint detection tools (XDR/EDR) and mission systems work together means data can flow smoothly across domains. This gives cyber teams a unified view of operations and helps them respond faster and more effectively in dynamic environments.
The tools needed to compete in this environment are already here, and the defense community is actively investing in them. Now, the challenge is making sure these capabilities translate into action where and when it matters most.
Mike Nichols is general manager of security at Elastic.
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