J

John Naulty

About

Detail

Head of Security Engineering and Threat Prevention
San Francisco, California, United States

Timeline

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Résumé

Jobs verified_user 0% verified
  • Mysten Labs
    CO-CISO & Lead Hacker
    Mysten Labs
    Dec 2024 - Current (1 year 9 months)
  • Mysten Labs
    Head of Security Engineering and Threat Prevention
    Mysten Labs
    Feb 2023 - Current (3 years 7 months)
  • Mysten Labs
    Security Engineer
    Mysten Labs
    Dec 2022 - Feb 2023 (3 months)
  • Coinbase
    Senior Infrastructure Security Engineer
    Coinbase
    Jun 2021 - Jan 2023 (1 year 8 months)
  • N
    Security Engineer
    Novi Financial
    Jul 2020 - Jun 2021 (1 year)
  • BitGo
    Systems Security Engineer
    BitGo
    Dec 2018 - Jul 2020 (1 year 8 months)
  • Nuage Networks
    Senior DevOps Engineer
    Nuage Networks
    Nov 2015 - Dec 2018 (3 years 2 months)
  • NeuroTechX
    Co-Founder
    NeuroTechX
    Jul 2015 - Jul 2018 (3 years 1 month)
  • S
    Website Engineer and Computer Repair Technician
    Sages Computer
    Nov 2014 - Aug 2015 (10 months)
  • F
    Technical Project Manager
    Fort Bragg WiFi
    Sep 2014 - Nov 2015 (1 year 3 months)
  • K
    Legal Secretary
    Kronfeld Law Office
    Aug 2014 - Oct 2015 (1 year 3 months)
  • OpenBCI
    Community Member
    OpenBCI
    May 2014 - Nov 2015 (1 year 7 months)
  • C
    Development Manager
    CogTech OpenBCI Dev Team
    May 2014 - May 2015 (1 year 1 month)
  • F
    Business Development Specialist
    Fit Approach
    Feb 2014 - Apr 2014 (3 months)
  • B
    Teacher
    Berkeley Review of Cognitive Science Articles
    Dec 2013 - May 2014 (6 months)
Education verified_user 0% verified
  • UNIVERSITY OF CALIFORNIA BERKELEY
    Bachelor of Arts (B.A, Cognitive Science
    UNIVERSITY OF CALIFORNIA BERKELEY
    Jan 2008 - Jan 2014 (6 years 1 month)
  • College of the Redwoods
    College of the Redwoods
    College of the Redwoods
    Jan 2006 - Jan 2011 (5 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • M
    Meter Maid Monitor
    Sep 2016 - Current (10 years)
    Built a system that monitors street parking from a car with a raspberry pi and camera installed. Cars that pass by are classified using TensorFlow. If there is a high probability that the car passing by is a parking enforcement officer (aka metermaid), then a text message is sent to the car owner via Twilio. Articles: https://techcrunch.com/2016/09/11/not-today-satan/ https://www.raspberrypi.org/blog/meter-maid-monitor-parking-protection-pi/
  • B
    Brain Enable - BCAPI
    Apr 2015 - Current (11 years 5 months)
    Right now, brain-computer interface hardware is expensive and clunky, and this is a bottleneck to using it for disability research. We are making a low-cost, open-source hardware and software package to enable faster development of assistive brain technologies. In April 2015, we won first in the Berkeley Big Ideas competition.
  • G
    Generation Effect
    Mar 2014 - Current (12 years 6 months)
    The Generation Effect is a cognitive phenomenon that helps memory encoding and retrieval. We took advantage of this effect by creating a web application that one could copy+paste text they needed to remember into the input, and it would return text that would force the reader to 'generate' the missing letters.
  • C
    CounterStrike-Pi
    Integrates heart-rate monitor from a remote source using the Cloudbrain websocket API with a counter-strike-like game on the Raspberry Pi.
Publications verified_user 0% verified
  • B
    Preserving Nature's Ledger: Blockchains in Biodiversity Conservation
    Business for Blockchain Technology Conference Apr
    Co-authored "Preserving Nature's Ledger: Blockchains in Biodiversity Conservation," a paper examining how blockchain's decentralized, immutable ledger and tokenization capabilities can support digital resilience in biodiversity conservation. Rather than a purely theoretical treatment, the work presents a grounded framework that identifies which blockchain features are essential to specific data contribution and data leveraging processes for protecting the planet's biodiversity, while creating shared economic benefits for all actors involved, from local farmers and government agencies to AI experts, NGOs, and scientists.
  • I
    Bugdar: AI-Augmented Secure Code Review for GitHub Pull Requests
    IEEE May
    Built Bugdar, an AI-augmented code review system that integrates into GitHub pull requests to provide near real-time, context-aware vulnerability analysis. Using fine-tunable LLMs and Retrieval Augmented Generation, Bugdar delivers accurate, project-specific feedback across Solidity, Move, Rust, and Python while reducing the false positives common to automated tools. It averages 56.4 seconds per pull request (30 lines of code per second) — far faster than manual reviews that can take hours, strengthening security posture without compromising productivity.
  • C
    When Friction Helps: Transaction Confirmation Improves Decision Quality in Blockchain Interactions
    CHI EA Extended Abstracts of the CHI Conference on Human Factors in Computing Systems Apr
    Co-authored "When Friction Helps: Transaction Confirmation Improves Decision Quality in Blockchain Interactions" (CHI EA '26). Web3 design often treats transaction confirmation as friction to be removed, but our controlled experiment — a blockchain-based Connect Four game on the Sui network that varied only the authorization flow — found that removing confirmation improved subjective experience while measurably degrading objective decision quality (win rate −11.8%, move quality −0.051). Behavioral traces showed confirmation dialogs enabling pre-submission self-correction, suggesting they function as cognitively meaningful checkpoints rather than mere usability friction. The work argues for "responsible friction" in the design of irreversibl
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