The AI Maturity Model for Cybersecurity
A framework to evaluate your use of AI across the security ecosystem
Developed by cybersecurity and AI experts and grounded in real-world SOC deployments, to help teams evaluate how and where AI is improving:
.png)
.png)
.png)
.png)
Developed by cybersecurity and AI experts and grounded in real-world SOC deployments, to help teams evaluate how and where AI is improving:
Understanding AI maturity across the organization
SOC fatigue is real, and AI can help
Most teams still face unmanageable alert volumes. Used the right way, AI can accelerate investigations and reduce dwell time
Error-prone Gen AI requires close human oversight
While there is a lot of hype around agentic GenAI systems, teams will need to account for inaccuracy and hallucination
AI’s real value lies in progression
The biggest gains come from integrating AI across the lifecycle, from preparation through detection to containment and recovery
Maturity is defined by outcomes, not vendor hype
AI maturity isn’t about tech presence, it’s about measurable impact on risk reduction, response time, and resilience
AI maturity across risk management
- AI can evolve from suggesting fixes to executing them, reducing manual human intervention
- Shows the shift toward real-time compliance monitoring, beyond point-in-time audits
- Highlights how AI may help teams move from CVE lists to dynamic, exposure-based analysis
AI maturity across the SOC
- See how detection evolves from static rules and manual tuning to AI-driven behavior-based models tailored to your environment
- Watch investigation scale from <25% triage coverage to full alert analysis handled autonomously by AI systems
- Track the shift in human roles as analysts move from repetitive tasks to high-value oversight and continuous improvement
.png)
AI maturity across containment & recovery
- See how response evolves from manual execution to AI-driven containment and recovery at machine speed.
- Watch playbooks adapt as AI tailors response actions to the context of each unique incident.
- Track the human shift from reactive responders to strategic overseers guiding AI-driven security operations.
Ready to assess your security team’s AI maturity?
Download the full white paper for more detail on how AI transforms each function of security operations across technology, people, roles, and outcomes. Use our self-assessment model to benchmark your current capabilities and plan your next steps.
Download now
Built on a decade of AI expertise. Relied on by over 10,000 organizations
Our approach layers multiple AI techniques, including unsupervised learning and probabilistic models, to detect, investigate, and respond in real time to threats.
This maturity model reflects what we’ve learned across nearly 10,000 deployments: effective AI is layered, tailored, and grounded in operational reality.
AI Maturity Model: A discussion
Hear from our Global CISO and SVP of Product Strategy as we discuss real-world implications of the AI Maturity Model and latest trends in how security teams are harnessing AI.
.jpeg)