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DESCRIPTION:   'Title: Overcast: Video OSINT Agent. Point It at 100 Videos\
 , Ask\n   Anything\n   Tags: Intro/Beginner | AI | DEF CON Demo Labs | Off
 ense/Red Team |\n   Threat Intel/Hunting | DEF CON Demo Labs\n   When: Fri
 day\, Aug 7\, 12:00 - 12:45 PDT\n   Where: LVCCW Level 1 Hall 3 902 (Demo 
 Labs Track 6) - [1]Map\n\n   Description:\n\n   Conference talks\, earning
 s calls\, product demos\, training videos.\n   Organizations put hours of 
 footage online every week\, full of things\n   they didn't mean to share: 
 hostnames in terminal windows\, org charts\n   on slides\, infrastructure 
 details dropped during Q&A. Traditional\n   OSINT can't touch video at sca
 le\, and manual review falls apart past a\n   handful of recordings.\n\n  
  Overcast is a CLI agent and skill pack for video OSINT that drops into\n 
   any agentic harness\, such as Claude Code\, Codex\, or Tinycloud\, givin
 g\n   it senses plus recon and targeting reach\, organized around an\n   i
 nvestigation case. Point it at 10 videos or 1\,000 and it turns\n   footag
 e into cited evidence: speech\, video understanding\, on-screen\n   text a
 nd objects\, faces\, and named entities\, all accumulating in\n   persiste
 nt case memory.\n\n   Discovery runs on the same case: scan and monitor sw
 eep sources and\n   surface reviewable findings. Ask across the whole corp
 us and get\n   answers cited to the exact record and timestamp\, backed by
  tiered\n   retrieval. Match a photo against thousands of clips to find a 
 person.\n   Each subcommand is modular and pluggable\, so analysts can dro
 p one\n   into other agent flows\, author custom skills\, or feed Overcast
 's media\n   analysis into existing recon and security tooling to complete
  the\n   mission.\n\n   SpeakerBio:  Kevin "kdrwins" Dela Rosa\n\n   Kevin
  Dela Rosa is a multimodal AI researcher and engineer with 17+\n   years i
 n computer vision\, NLU\, and large-scale retrieval. He led\n   engineerin
 g teams at Snapchat building billion-scale visual search and\n   generativ
 e AI products\, worked on large-scale ML at Amazon\, and\n   interned at N
 IST and SPAWAR on NLP and information retrieval for\n   government applica
 tions. He's published at ACM WWW\, ACM CAIS\, IEEE\n   ICCV\, KDD\, CVPR\,
  NeurIPS\, AAAI\, and ISMIR\, and has spoken at AWS\n   re:Invent\, KubeCo
 n\, and CascadiaJS. He's currently CTO of Cloudglue\,\n   where he builds 
 video understanding infrastructure.\n\n   At DEF CON 33 he presented "Auto
 nomous Video Hunter" at Recon Village\,\n   demoing an AI agent that inves
 tigated video corpora using face\n   recognition\, logo detection\, and co
 ntent analysis to produce\n   structured OSINT reports. Overcast is the ev
 olution of that work: a\n   CLI agent and skill pack that gives any agenti
 c harness senses plus\n   recon and targeting reach\, organized around an 
 investigation case with\n   persistent memory\, cited evidence\, and modul
 ar subcommands that plug\n   into other recon and security workflows.\n\n 
   Links:\n       GitHub - [2]https://github.com/kdr/overcast\n   '\n\n   1
 . #LVCCW_Level1_Hall3\n   2. https://github.com/kdr/overcast\n\n\n
DTEND:20260807T194500Z
DTSTART:20260807T190000Z
LOCATION:Demo Labs - LVCCW Level 1 Hall 3 902 (Demo Labs Track 6)
SUMMARY:Overcast: Video OSINT Agent. Point It at 100 Videos\, Ask Anything
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