MoSadek

Product Security Leader · AppSec + AI Security

SF Bay Area (but I'll always be a New Yorker)

Highlights

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Summary

Product security builder with director-level scope, scaling security functions at a fast-growing company and writing their first playbooks, processes and governance. Hands-on across application and AI security, with experience standing up programs, cross-functional reviews and enterprise trust. Contributes to the field beyond the day job, through industry standards work, published research, open-source tooling and conference speaking.

Experience

Mo Sadek

Experience

Jul 2025 – Present · San Francisco Bay Area

AI security company.

Technical authority for an AI security platform, across research, product and customers.

  • AITechnical evangelist for Alice's AI security platform: explain model behavior, risk frameworks and product capabilities to enterprise customers, partners and executives.
  • AIPGBuilt the research-to-publication pipeline that turns Alice's security research into published work.
  • PSAITETurn customer feedback and field observations into working prototypes that product leadership uses to prioritize features.
  • AIPSTEBuilt Caterpillar, an open-source scanner that audits AI agent skills for malicious behavior before install, with LLM-as-a-judge or rule-based modes, offline support and CI/CD gating.
  • AIPGCo-led the Rogue Agents (ASI10) risk area of the OWASP Top 10 for Agentic Applications (2026); represent Alice in OWASP, CoSAI and ISACA.
  • AITECaterpillar also covers MCP tool configurations, with A–F grading.
  • AITEBuilt internal automation tooling (n8n workflows, persona-based feedback mechanisms) adopted by Marketing and Product to put AI capabilities to work.
  • PSAICo-lead a small cross-functional working group that moves from raw signal (customer calls, demos, market feedback) to functional builds in tight cycles.
  • AIHost of Curiouser & Curiouser, Alice's AI-security podcast.
  • AIRepresent technical direction on conference panels covering guardrails, content filtering and agentic system design.

Jun 2024 – May 2025

Executive strategy seat spanning AI, Security, Legal, Policy and Engine.

  • PGAIEstablished and chaired a companywide AI Review Board, reviewing 80+ internal AI initiatives in the first year against a risk framework covering cost, ethics, performance, infrastructure and age-appropriate user safety.
  • PGTEImplemented automated intake and triage across information security, data privacy, patent review and IP.
  • AIPSEvaluated third-party AI integrations and open-source models against internal security standards and regulatory requirements, with legal and compliance.
  • PGServed as the Chief Scientist's proxy in executive meetings and author of executive communications, connecting research direction to engineering execution.
  • PGBuilt a companywide patent and IP program: an automated invention-disclosure system, a monthly patent showcase, and a career framework tying patent creation to technical-leadership progression at Director+ levels.
  • PGCreated a research job classification with VPs and recruiting to attract academic talent, and a researcher-management system automating intake, access provisioning and off-boarding.
  • PGLed program direction for a Lua-native web layer replacing Chromium implementations, and set up a device-performance and OOM metrics framework with data science.

Sep 2019 – Jun 2024

Early security hire during the company's growth toward its direct listing.

Helped build the AppSec practice from the ground up as security grew from 7 to 90.

  • PSASPGHelped build the application-security practice from the ground up, writing its first playbooks and processes: CI/CD integration, code review and architecture assessments.
  • PSIRLed and supported incident response, building the IR process and leading live incidents across account takeover and session management, insider threat (vendor and employee), and anomalous transactions and fraud.
  • PSASPGTook over the bug-bounty / vulnerability-disclosure program in 2020: response rate from ~60% to 90%, average time to close from over a month to ~2 weeks.
  • PGLed early compliance and regulatory conversations ahead of the direct listing, translating requirements into engineering guidance.
  • PSASTERe-architected RBAC for the trust & safety platform with its engineering team, rationalizing 400+ role IDs across a 5,000+ person outsourced workforce toward least privilege.
  • PSASThreat modeling and architecture reviews for high-impact systems, including the voice-chat system, region-specific apps for China and Vietnam, an authentication refactor supporting console quick-login and LMS SSO, and a platform-wide safety-system redesign across 30+ components and 7 engineering teams.
  • AIPSPGRan security program management for AI features across 4 teams (15 major features): reviews, testing and mitigation.
  • PSASTEBuilt parts of and maintained the internal ProdSec scanning platform.
  • PSASPGTESet up the open-source security process: automated review for internal projects up for release, a governance framework with Engineering Efficiency, supplemental dependency scanning, and GitHub workflow automation for release compliance.
  • PSASPGBuilt a security partnership program that made AppSec the front door for engineering; the function grew from 3 to 12 engineers.
  • PGInterviewed across InfoSec through its first ~40 hires, then was first point of contact for onboarding and mentoring new security hires as the org grew from 7 to 90.
  • PSPGRan "Trust by Design" as the InfoSec representative: 120+ high-level compliance and safety reviews.
  • PSASThreat modeled certificate pinning for education products.
  • PSASSecurity design for the voice-chat system covered both voice-safety features and law-enforcement access requirements.
  • PSIRIncident response also covered niche gaming-specific abuse.
  • PSASDrove DevSecOps adoption.

Nov 2018 – Aug 2019

Secured Bosch's AI research and enablement environment.

  • PSPGLed ISO 27001 compliance initiatives for the AI research and enablement environment.
  • PSAIThreat-modeled autonomous-driving systems and their software supply chain.
  • PSTEBuilt Kubernetes security policies and RBAC for a GPU cluster.
  • AITEBuilt an early ML-for-SOC threat-detection capability with the SOC team.
  • PSPGTEBuilt a data-integrity verification system for international ML manufacturing under strict regional data regulation.

Apr 2018 – Oct 2018

Restructured security assessment around risk-based architecture review.

  • PSASPGRestructured the security-assessment program around risk-based architecture reviews and improved third-party risk review.
  • PGStrengthened security training delivery and mentored junior engineers.

Sep 2016 – Mar 2018

Security testing across broadcast and on-air systems.

  • PSASPGLed security testing across broadcast and on-air systems, including a PCI compliance program.
  • PSASBuilt a mobile application review program from the ground up.
  • PSASTEDeveloped custom scanning tooling that improved remediation tracking.

2015 – 2016

Application security assessments and developer training.

  • PSASOWASP Top 10 vulnerability assessments, remediation guidance and developer security training.
  • ASCreated consultant training on vulnerability discovery, exploitation and mitigation.

Podcast

Curiouser & Curiouser cover art

Curiouser & Curiouser, host. Alice's AI-security podcast: CISOs, researchers and builders on what AI actually changes for security. 14 episodes.

Speaking & press

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