How Agentic AI is transforming cybersecurity operations
When managed effectively, Agentic AI enables security teams to stay ahead of evolving cyber threats by automating and enhancing defense mechanisms.
Agentic AI, often reminiscent of science fiction, is rapidly becoming a reality in cybersecurity. Unlike traditional AI models focused on narrow tasks, Agentic AI combines multiple specialized AI agents to automate complex processes, make decisions, and continuously improve performance. According to Gartner, by 2028, Agentic AI will independently handle 15% of routine work decisions, up from zero in 2023.
The Power of Agentic AI
Agentic AI systems integrate expert AI agents designed for specific tasks, such as:
- Learning agents that refine performance through feedback.
- Hierarchical agents that delegate tasks across tiers.
- Goal-based agents that optimize paths to achieve objectives.
This orchestration enables autonomous threat detection, decision-making, and predictive analytics, far surpassing human response times.
Agentic AI in Cybersecurity
Microsoft has already integrated AI agents into its Security Copilot tool, automating tasks like:
- Phishing and alert triage.
- Vulnerability prioritization.
- Threat intelligence curation.
Key Benefits:
- Proactive Threat Hunting: Analyzes network patterns to predict and neutralize threats before they escalate.
- Adaptive Defense: Uses Retrieval-Augmented Generation (RAG) to stay updated on emerging threats.
- Data Security: Automates access controls and encryption to prevent breaches.
- Human Augmentation: Frees analysts from routine tasks, allowing focus on complex threats.
- Predictive Analytics: Simulates attacks to refine defenses and preempt future risks.
The Future of Cybersecurity
Agentic AI promises a proactive, adaptive shield against cyber threats, leveraging machine learning to analyze vast datasets and respond in real time. As Stu Sjouwerman, CEO of KnowBe4, notes, embracing Agentic AI is not just about defending against current threats—it’s about staying ahead of them.
SC Media Perspectives columns are written by cybersecurity experts, offering objective insights into critical industry topics.
Related News
Zscaler CAIO on securing AI agents and blending rule-based with generative models
Claudionor Coelho Jr, Chief AI Officer at Zscaler, discusses AI's rapid evolution, cybersecurity challenges, and combining rule-based reasoning with generative models for enterprise transformation.
Rubrik Launches AI Error Recovery Tool Agent Rewind
Rubrik introduces Agent Rewind, an AI-driven data recovery solution addressing risks of autonomous AI errors in enterprises, following its Predibase acquisition.
About the Author
David Chen
AI Startup Analyst
Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.