Alex Morgan, AI Security Researcher at DeepWall

Alex Morgan is an AI Security Researcher at DeepWall. Alex has been in cybersecurity since 2014, working across network defense, threat intelligence, incident response and cloud security architecture, and now focuses on how attackers target and abuse AI systems.

I started my career defending enterprise networks as a Network Security Engineer at Cisco Systems. There I managed Cisco Secure Firewall (ASA/Firepower) and Identity Services Engine (ISE) deployments, mitigated Layer 3–7 attacks and ran vulnerability assessments and compliance audits.

From there I moved into threat intelligence at Mandiant (now Google Cloud). I tracked and profiled advanced persistent threat (APT) groups and turned technical indicators into intelligence briefings for critical-infrastructure stakeholders and government defense contractors. Working with red teams to simulate real adversary tactics taught me to think about security from the attacker's side.

At CrowdStrike I led incident response investigations into ransomware and nation-state attacks. I used the Falcon platform for endpoint forensics, malware analysis and threat hunting, and wrote custom remediation scripts to get clients back on their feet faster. As Lead Cloud Security Architect at Palo Alto Networks, I designed zero-trust cloud security architectures on Prisma Cloud for Fortune 500 clients, led a team of six engineers automating vulnerability-scanning pipelines, and worked on bringing AI-driven threat detection into cloud infrastructure.

At DeepWall I research how large language models hold up against prompt injection, data poisoning and adversarial extraction attacks. I build automated benchmarking tools to stress-test enterprise AI models and work with engineering teams on real-time guardrails for AI-driven applications. When I review an article, I'm asking one thing: would this hold up in a real investigation?