AI-Enabled SOC Operations: From Alert Overload to Autonomous Investigation | A Brand Spotlight at RSAC Conference 2026 with Monzy Merza, Co-Founder and CEO of Crogl

The security operations center is under pressure from every direction -- rising alert volumes, fragmented data environments, and a skills gap that no amount of hiring fully closes. At RSAC Conference 2026, Monzy Merza of Crogl sat down with Sean Martin and Marco Ciappelli to talk about what the AI-enabled SOC actually looks like when it is working at enterprise scale.

Crogl recently published the State of the AI SOC report, a survey of more than 600 organizations. The headline finding: nearly 40% of alerts go completely unattended. Not triaged. Not escalated. Just missed. The report also found that a large share of respondents rank the security of an AI system above its raw capability -- trust before performance. Merza says the goal of the report was part data, part demystification, and part empathy building -- giving security leaders permission to recognize that everyone is dealing with the same problems.

Crogl's knowledge engine is built on a foundational premise: data is fragmented in the enterprise, and that is not going to change. Rather than requiring data normalization before analysis, Crogl builds an enterprise semantic knowledge graph that maps relationships across data lakes, SIEMs, and SOAR platforms, wherever the data lives. Analysts no longer need to navigate schemas or query languages. Crogl handles the investigation and surfaces what matters.

Merza describes two compressor effects his customers experience. A competency compressor allows any analyst to draw on multiple data lakes at once. A domain knowledge compressor lets Crogl work across alert types -- phishing, endpoint, and beyond -- rather than routing each to a specialist. The result is a team that operates well above its apparent headcount. One customer example: a CISA advisory that would take hours to manually parse can be uploaded into Crogl and assessed across the enterprise footprint -- IOC mapping and detection coverage -- in sub-hours. The same logic extends to compliance, where audit data calls that once required manual query-by-query execution can now be executed by Crogl against a full 500-query data call at once.

On the jobs question, Merza takes a clear position: AI will create more security jobs, not fewer. Every new AI deployment is a new attack surface. Every new footprint needs to be defended. The repetitive tier-one work is going away -- but the volume of meaningful security work is expanding and the entry level is rising. The organizations getting ahead of this are already standing up AI review boards and putting security capability at the center of how they evaluate new AI tools.

This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight

GUEST

Monzy Merza, Co-Founder and CEO, Crogl
LinkedIn: https://www.linkedin.com/in/monzymerza

RESOURCES

State of the AI SOC Report (free download): https://www.crogl.com
Crogl: https://www.crogl.com
AI SOC Summit: https://aisocsummit.com

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KEYWORDS

Monzy Merza, Crogl, Sean Martin, Marco Ciappelli, brand spotlight, brand marketing, marketing podcast, brand story, AI SOC, security operations center, SOC automation, AI in cybersecurity, alert fatigue, security data lakes, SIEM integration, enterprise knowledge graph, threat intelligence, CISA advisory, Volt Typhoon, RSAC Conference 2026, RSAC 2026, cybersecurity AI, autonomous investigation, SOC analysts, security workforce, CISO strategy

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