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Agentic AI Vs AI Agents Shaping The Future Of Cybersecurity

April 14, 2025•Carlo Tortora Brayda•Original Link•2 minutes
Cybersecurity
ArtificialIntelligence
AgenticAI

AI is revolutionizing the world today especially cybersecurity

By Carlo Tortora Brayda, executive chairman of the Tortora Brayda Institute and co-founder of the National AI & Cybersecurity ISAO.

getty

The AI Revolution in Cybersecurity

As cybercriminals increasingly leverage advanced AI, the cybersecurity industry must respond with smarter, faster defenses - particularly challenging for companies without dedicated security teams. This requires understanding two distinct concepts: AI agents and agentic AI.

AI Agents: Task-Focused Tools

AI agents like ChatGPT, Gemini, and Claude provide innovative responses to specific queries. In cybersecurity, they excel at:

  • Threat detection through log analysis and anomaly identification
  • Automated incident response (quarantining threats, deploying patches)
  • Vulnerability management aligned with frameworks like NIST CSF

These tools rely on established frameworks like MITRE ATT&CK to map attacker behaviors.

Agentic AI: The Autonomous Colleague

More advanced than AI agents, agentic AI trends toward artificial general intelligence (AGI). Key capabilities include:

  • Autonomous penetration testing
  • Dynamic resource reallocation
  • Proactive threat hunting considering geopolitical factors
  • Potential future ransomware negotiation

Unlike task-focused agents, agentic AI operates goal-independently, making substantive decisions without human input unless configured otherwise.

The Coming Transformation

Microsoft CEO Satya Nadella predicts agentic AI will orchestrate across SaaS applications by 2026, creating "a swarm of agents." Future applications may include:

  • Continuous security simulations
  • Global collaboration through initiatives like the Cyber Eagle Project
  • Unified public-private critical infrastructure protection

Preparing for the AI Cybersecurity Era

Organizations should:

  1. Conduct regular risk assessments
  2. Classify data asset criticality
  3. Maintain human oversight for intuition
  4. Establish AI accountability protocols
  5. Prioritize transparent AI partners

The cybersecurity future combines agentic AI, AI agents, and human expertise - a necessary evolution as cybercriminals fully embrace Fourth Industrial Revolution technologies.

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SF AI Meetup Explores Next Gen Autonomous Agents and ML

SF AI/ML Meetup on Engineering Next Generation AI Systems with autonomous agents and ML architectures featuring industry leaders.

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About the Author

Dr. Emily Wang

Dr. Emily Wang

AI Product Strategy Expert

Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.

Expertise

AI Product Management
User Experience
Business Strategy
Market Analysis
Experience
10 years
Publications
65+
Credentials
2
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