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DTSTART;TZID=America/New_York:20261103T180000
DTEND;TZID=America/New_York:20261103T191500
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SUMMARY:Ottawa Chapter
DESCRIPTION:Where Did That Come From?!! GET THE FULL PICTURE A Lead is Not a Finding: Verifying AI-Assisted Forensic Work AI can surface a lead in seconds\, but an answer you can't verify isn't a finding. This session follows an AI-generated claim from first answer to defensible conclusion. You'll see how to break a result into individual claims\, trace each one back to forensic tool output\, and confirm it in the tool yourself. We'll cover why interpretation stays the examiner's job and finish with a live look at verification in action. You'll leave with a clear test for telling a verified finding from an unverified AI guess\, and four questions to ask of every AI result. PresentersJosh Singer- Co-Founder (Mobasi)\, Kevin Mackay- DFIR Strategic Advisor (Mobasi) Josh is a security researcher focused on applying artificial intelligence across the digital forensics and investigative workflow\, from analyzing many kinds of digital evidence to correlating findings across sources. His work centers on a question now facing the whole field\; as AI grows faster and more capable\, how do you keep its findings transparent\, verifiable\, and defensible enough to hold up under scrutiny? His research puts verification first\, with every finding tied back to its source evidence. At the Cellebrite CTF 2025\, the Mobasi AI Agent\, operated by him\, placed second among individuals\, going head to head with some of the field's strongest human investigators.
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE html><html><head><title></title></head><body aria-disabled="false"><p>Where Did That Come From?!! GET THE FULL PICTURE&nbsp\;</p><p>A Lead is Not a Finding: Verifying AI-Assisted Forensic Work AI can surface a lead in seconds\, but an answer you can&rsquo\;t verify isn&rsquo\;t a finding. This session follows an AI-generated claim from first answer to defensible conclusion. You&rsquo\;ll see how to break a result into individual claims\, trace each one back to forensic tool output\, and confirm it in the tool yourself. We&rsquo\;ll cover why interpretation stays the examiner&rsquo\;s job and finish with a live look at verification in action. You&rsquo\;ll leave with a clear test for telling a verified finding from an unverified AI guess\, and four questions to ask of every AI result.&nbsp\;</p><p>Presenters</p><p>Josh Singer- Co-Founder (Mobasi)\, Kevin Mackay- DFIR Strategic Advisor (Mobasi) Josh is a security researcher focused on applying artificial intelligence across the digital forensics and investigative workflow\, from analyzing many kinds of digital evidence to correlating findings across sources. His work centers on a question now facing the whole field\; as AI grows faster and more capable\, how do you keep its findings transparent\, verifiable\, and defensible enough to hold up under scrutiny? His research puts verification first\, with every finding tied back to its source evidence. At the Cellebrite CTF 2025\, the Mobasi AI Agent\, operated by him\, placed second among individuals\, going head to head with some of the field&rsquo\;s strongest human investigators.</p></body></html>
LOCATION:Ottawa ON
UID:e.2546.1675392
SEQUENCE:3
DTSTAMP:20261106T024834Z
URL:https://htcia.growthzoneapp.com/events-calendar/Details/ottawa-chapter-1973884?sourceTypeId=Hub
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