# AI Agents vs. AI Agents: The Future of Security — Monzy Merza on Secure and Simple

Cybersecurity is entering an era where the fight isn't human versus human. It's agent versus agent.

In this episode of the _Secure and Simple_ podcast, host Dejan Kosutic from Advisera sits down with Monzy Merza, co-founder and CEO of Crogl, to unpack what it means when attackers can task AI agents to run sophisticated, low-cost campaigns without any human approval loop, and what defenders need to do to keep pace.

AI Agents vs. AI Agents: The Future of Security Operations \| Interview with Monzy Merza \| EP31 - YouTube

## What We Cover

- Why cybersecurity is shifting to an "agent versus agent" world
- The three pillars of security operations (preparation, alert investigation, and response) and how AI is changing each
- How AI SOC agents connect to multiple data sources, enrich alerts, run MITRE kill chain analysis, and produce full investigation reports automatically
- When humans must stay in the loop, and when it's safe to hand off to AI
- How organizations build trust in AI through phased adoption with measurable use cases
- Why security roles may shift from analysts toward more security engineers
- What governance looks like: flexible integrations, model choice, and transparency

## Episode Highlights

- **Attacker economics:** AI lets adversaries run fast, sophisticated campaigns at near-zero cost and without human approvals, compressing the window defenders have to respond
- **The three pillars:** Preparation and tooling, alert investigation, and response each have distinct AI leverage points
- **Autonomous investigation:** AI SOC agents that automatically pull data from multiple sources, enrich context, map to the MITRE ATT&CK kill chain, and deliver a completed investigation report
- **Human-in-the-loop:** High-impact response decisions still require human judgment; the goal is to put humans in the right decisions, not every decision
- **Phased trust:** Organizations adopt AI in stages, starting with measurable, low-risk use cases and expanding as confidence grows
- **Role evolution:** The analyst role may shift toward security engineering as AI handles more of the routine investigation work
- **Governance requirements:** Flexibility in data integrations, choice of underlying models, and full transparency in how AI reaches its conclusions

Also available on [Spotify](https://open.spotify.com/episode/7viMMfr8iJm6fvgs6yoX1z?si=Adi8TbQPRwyT5RE4fe-J9A) and [Apple Podcasts](https://podcasts.apple.com/us/podcast/ai-agents-vs-ai-agents-the-future-of-security/id1807334029?i=1000757045803).