Maritza Marie Dubec
Maritza Marie Dubec is a senior product marketing and content developer specializing in go-to-market strategy and communications across technology and cybersecurity sectors. She began her career as an advertorial writer for the San Francisco Chronicle, covering art, culture, and news, before moving into technology as publishing lead for IBM’s Redbooks. There, she authored her first book on web analytics and text semantics, The Web Fountain Project, and partnered with sales engineers to deliver systems integration Redbooks.
Today, Maritza focuses on product launches, OSINT cyber threat analysis, EU DORA compliance, and customer success and event marketing. Her experience includes briefing energy sector leaders and customers on cyber threats and mitigations, creating thought leadership for AI-driven SIEM detection solutions, and promoting early generative AI for customer support. While at Cisco, she worked with senior executives to drive major launches, produced strategic content, and supported CEO John Chambers’ video and event team.
Maritza studied at the University of California, Berkeley, Université Paris-Sorbonne, and the School of the Art Institute of Chicago. She holds a certification in legal research in California and Federal law from the University of California, San Diego, and is a member of Lambda Epsilon Chi (LEX) honors society.
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Authored content
The Automated AI Attack Has Arrived
AI agents ran 12 attack waves against Taiwanese government systems in four days. See how automated attacks work and how segmentation contains them.
Scattered Spider: What Its Attacks Reveal About Network Posture
Scattered Spider went from SIM swaps to major ransomware breaches. See what its attacks reveal about network posture, segmentation, and fast containment.
Fast Flux: The Old Trick Still Powering Modern Cyberattacks
Fast flux hides attacker infrastructure by rotating IPs across infected devices. Learn how it works and how visibility and segmentation contain the threat.
OpenAI’s Agent Escape and Hugging Face: Lessons on Zero Trust and Containment
An autonomous AI agent breached Hugging Face at machine speed. See why Zero Trust and containment, not patching, stops attacks once they get inside.
Patch Tuesday Fixed 622 Flaws. But It Didn't Fix Lateral Movement.
Microsoft fixed 622 flaws in July 2026, including two exploited zero-days. Learn why patching alone can't stop lateral movement after attackers get in.
The Race to Stop AI From Turning Vulnerabilities Into Breaches
AI collapsed the gap from flaw disclosure to exploit — 10 months in 2021 to 3 hours in 2026. No patch cycle keeps pace. Here's how to contain the reach.
Mythos Meets Cassandra: When Active Directory Risks Meet Frontier AI
Learn how emerging AI speeds up Active Directory risks and why microsegmentation helps block attack paths before threats reach identity systems.
Beyond the Gate: Zero Trust and the Defense of Active Directory
Discover why attackers target Active Directory and how Zero Trust controls block lateral movement before it reaches the network core.
The Master Key Problem: Inside the Salesloft Breach and Ongoing Threat
Discover what the Salesloft breach reveals about OAuth token abuse, hidden trust risks, and how to contain threats before they spread.
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Modern Trojan Horse: How Attackers Live Off the Land and How to Stop Them
Uncover how attackers “live off the land” using trusted tools like PowerShell and SSH and how to stop LOTL threats with visibility and containment.
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Here Be Dragons: The Growing Cyber Threats to Critical Infrastructure
Discover how cyberattacks on critical infrastructure are rising in 2025 as global tensions grow and state-backed groups target utilities, healthcare, and more.
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