ABOUT
Apurv Singh Gautam is a Security Analyst specializing in anti-scraping investigations to protect Meta products and users from automated abuse, data exfiltration, and AI-enabled threats.
He focuses on detecting and disrupting scraping operations at scale by analyzing large datasets, building automation, and conducting investigations using OSINT, external threat intelligence, and internal telemetry to drive high-impact enforcement actions.
Apurv has contributed to the latest SANS Institute's course FOR589 on Cybercrime Intelligence and is a contributing member of Curated Intel. He has delivered talks & workshops at national and international conferences like SANS OSINT Summit, SANS Cyber Defense Forum, DEFCON Blue Team Village, BSides Singapore, RootCon and others. Apurv is featured in major podcasts like ITSPMagazine, Tech Talks with Singh, etc. He is passionate about giving back to the community and helping others get into this field, and has delivered many talks and workshops in schools and colleges. In the past, he has volunteered with StationX to help students navigate into Cybersecurity, and also volunteered as a Darknet researcher at CTI League and EBCS Darknet Analysis group. He holds a master's degree in Information Security from Georgia Institute of Technology, USA.
He looks forward to the end of the day to play and stream one of the AAA games, Rainbow 6 Siege.
MEDIA
(Talks, podcasts & features)
Dark Web Expert Explains How He Infiltrates Cybercrime Forums
A deep dive into HUMINT tradecraft on cybercrime forums — and the open-source tooling behind it.
PROJECTS
(Open-source tools)Robin
An AI-powered tool for dark web OSINT investigations — using LLMs to refine queries, filter results from dark web search engines, and produce an investigation summary.
EXPERIENCE
Detecting and disrupting scraping operations at scale — analyzing large datasets, building automation, and running OSINT-driven investigations to drive high-impact enforcement against automated abuse.
Delivered tactical and operational intelligence on client RFIs, served as SME for Generative-AI threat-intel projects, and curated OSINT/SOCMINT/HUMINT investigations into actionable, IOC- and TTP-enriched deliverables.
Ran surface and dark web investigations, profiled threat actors and ransomware groups, and built Python automation that cut data-collection time by 40%.
Deep-dived malicious data from dark web forums and markets, applied NLP (LDA, CatE) to large unstructured datasets, and generated six threat-intelligence metrics.
Performed OSINT and HUMINT across 20+ dark web forums and markets, and designed an automated Scrapy-based scraping tool feeding Elasticsearch.