Winning the AI arms race in security: Context is key

Agentic AI has compressed cyber attack timelines, but faster response alone can't close the gap. Security teams must apply context and security expertise to guide automation with operational and regulatory realities.

Context provides that missing layer, allowing teams to adjust agentic workflows based on environment-specific needs, rather than rely on fixed runbooks.

In this video interview with Information Security Media Group at RSAC Conference 2026, Mike Nichols, GM of Elastic Security, explores four principles for today's agentic SOC:

• Empower human analysts to incorporate private context securely
• Enable AI to learn context from historical patterns
• Fit AI into existing analyst-led processes
• Maintain an inventory of your assets and data

Dive into these core concepts to learn how your security operations team can use AI to battle AI.

Additional resources

• Elastic Security: Agentic security operations platform
• Blog: The AI Arms Race: Why your SOC needs to evolve now
• Elastic Security XDR blog: The endpoint tax is over
• Elastic Workflows blog: Native Automation — No SOAR required
• Elastic Security Labs: Supercharge your SOC