Most SOCs today are still built around the same assumption: wait for an alert, investigate it, move to the next one.

But what happens when AI becomes capable of doing much more than alert triage?

In this episode, Ahmed Achchak (CEO & Co-founder of Qevlar AI) sits down with Rob van Os, Strategic SOC Advisor at SOC-CMM, to discuss what comes after the alert-centric SOC and why the future of security operations may be driven by continuous situational awareness rather than reactive investigations.

You'll discover:

→ The three stages of SOC evolution: human-led, AI-augmented, and AI-driven.

→ Why simply adding AI to existing workflows won't unlock its full potential.

→ How exposure management, telemetry, and threat intelligence can be combined to create true situational awareness.

→ Why the role of analysts will shift from investigation to governance and oversight.

→ The biggest obstacles preventing organizations from building AI-driven SOCs today.

→ Why trust, context, and human validation remain essential even as AI capabilities improve.

Agenda:

01:30 – The three stages of SOC evolution

04:10 – Why the alert queue is becoming the SOC's biggest bottleneck

05:15 – Moving from reactive investigations to continuous monitoring

07:35 – Situational awareness: combining threats, exposure, and telemetry

10:35 – Can AI help build self-healing security operations?

13:00 – What trust looks like in an AI-driven SOC

18:00 – The data and context problem

29:00 – Fire Round: AI, SOC maturity, and future attacker tactics

Follow Ahmed on LinkedIn: https://www.linkedin.com/in/ahmed-achchak-872554109

Follow Rob van Os on LinkedIn: https://www.linkedin.com/in/socadvisor/

Read Rob’s article on AI-driven SOC: https://www.linkedin.com/pulse/ai-driven-soc-revisited-moving-beyond-alert-centric-security-van-os-jyjqe/

Mythos may be the biggest cybersecurity AI announcement we’ve seen so far but is it actually a revolution for attackers, or just another overhyped AI moment? In this episode, Ahmed Achchak (CEO of Qevlar AI) sits down with cybersecurity consultant Dave McKenzie to break down what Mythos really changes for defenders, why most organizations are focusing on the wrong risks, and what SOC teams should prepare for now.

You’ll discover:

• Why Mythos is less about “AI hacking the world overnight” and more about accelerating targeted attacks.
• The hidden operational problem AI creates for SOCs: more signals, more vulnerabilities, and more difficult prioritization decisions.
• Why patching everything is no longer realistic and how mature teams should think about exposure instead.
• How AI can actually help defenders by connecting weak signals humans would normally miss.
• Why regulatory frameworks like PCI DSS may become unexpectedly painful in an AI-driven vulnerability landscape.

Agenda:

00:00 – Introduction: Is Mythos hype or a real shift for defenders?

02:16 – What Mythos actually changes in cybersecurity

06:11 – Why AI won’t “hack the world overnight”

09:22 – The SOC workflows most likely to break first

13:18 – How AI can help defenders connect weak signals

16:48 – Why patching everything no longer works

20:46 – The overlooked compliance and business risks

26:18 – Why prioritization becomes the key SOC capability

27:20 – Wrap-up: What defenders should focus on next

Follow Dave McKenzie on LinkedIn: https://www.linkedin.com/in/davewmckenzie/

Follow Ahmed Achchak on LinkedIn: https://www.linkedin.com/in/ahmed-achchak-872554109/

Stay tuned for updates from Qevlar AI: https://www.linkedin.com/company/qevlar

Curious to learn how Qevlar AI can automate alert investigation and help your SOC scale against increasingly complex attacks?

Head to: www.qevlar.com

AI is making security operations faster but not necessarily smarter. In this episode, Ahmed Achchak (CEO & Co-founder of Qevlar AI) sits down with Raffael Marty, cybersecurity veteran and early pioneer of SIEM and security analytics, to unpack why SOCs still struggle to understand attacks and what’s been missing all along: a true intelligence layer.

You’ll discover:

→ Why 20+ years of SIEM and correlation technologies still leave analysts reconstructing attacks manually

→ What actually broke in the evolution from early context-rich systems to today’s event-driven detection models

→ Why adding “AI on top” of existing tools doesn’t fix the core problem

→ How to capture analyst decisions and unlock a new layer of institutional knowledge

→ What an intelligence layer really is and how it changes the way investigations happen

→ How shifting from alerts to risk and campaigns reshapes security operations

Agenda:

00:00 – Introduction: Why SOCs still can’t connect the dots

02:16 – What broke in SIEM and why correlation failed

04:23 – Why alerts are a flawed foundation

07:42 – From alerts to campaigns: a new way to investigate

10:57 – Turning analyst knowledge into an intelligence layer

15:08 – Why LLMs need structured context (and where they fail)

20:27 – Moving to risk-based, AI-driven SOC operations

24:49 – Fire Round: AI-ready SOCs, the end of tiers, and future skills

Follow Ahmed on LinkedIn: https://www.linkedin.com/in/ahmed-achchak-872554109/

Follow Raffael Marty on LinkedIn: https://www.linkedin.com/in/raffy/

Get more of Raffael’s insights on his blog: https://raffy.ch/blog/

Stay tuned for Qevlar AI updates: https://www.linkedin.com/company/qevlar

Curious to learn how Qevlar AI can help you build an intelligence layer that turns alerts into real understanding? Head to: qevlar.com