BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260219T012030Z UID:D152A0A1-1DC1-4BBB-9267-C560BE799127 DTSTART;TZID=America/Los_Angeles:20260120T180000 DTEND;TZID=America/Los_Angeles:20260120T203000 DESCRIPTION:Please join the IEEE Seattle Section January 20th EXCOM Meeting at Seattle University\n\nPrior to EXCOM \, 6pm - 6:50pm Distinquished spe aker\n\nSpeaker :Manav Kapoor\, Senior Technical Product Manager\, Amazon\ n\nTopic: AI-Driven Bad Actor Detection and Remediation: Bridging the Gap from Detection to Enforcement\nAbstract\nConsumer fraud losses reached $12 .5 billion in 2024\, a 25% increase year-over-year\, despite 99% of financ ial institutions deploying AI for fraud detection. This paradox reveals th e industry's true challenge: while AI-powered detection has achieved 92-98 % accuracy\, enforcement systems remain woefully underprepared to act on t hose detections at scale.\nThis talk examines why the bottleneck has shift ed from finding bad actors to stopping them. Drawing from 14+ years of bui lding fraud prevention systems at Amazon\, Goldman Sachs\, and Barclays\, Manav presents a practical framework for closing the detection-enforcement gap through four emerging capabilities: agentic AI case management\, unif ied risk intelligence\, automated dispute resolution\, and upstream networ k disruption.\nAttendees will learn:\n\n-\nHow to evaluate AI fraud capabi lities that matter: real-time decisioning under 200ms\, 40-60% fewer false positives\, and seamless customer experience without added friction.\n-\n Why scaling detection without enforcement infrastructure creates operation al debt\, and how to right-size AI investment for measurable business outc omes.\n-\nCo-branded card fraud patterns unique to loyalty programs (point s laundering\, synthetic redemption\, promo abuse) and how to build detect ion rules that protect brand partners without blocking legitimate high-val ue customers.\n-\nHow to structure the fraud prevention P&L: balancing dir ect loss prevention against false positive costs\, customer churn from dec lined transactions\, and operational expense of manual review queues.\n\nT he institutions that thrive in this AI-first era will recognize fraud prev ention not as a cost center\, but as a strategic capability enabling digit al innovation at scale.\n\nBiography: Manav Kapoor is a seasoned product a nd technology leader with over 14 years of experience driving innovation a t the intersection of technology\, customer experience\, and business stra tegy. He currently serves as a Senior Technical Product Manager at Amazon' s Selling Partner Trust and Store Integrity organization\, leading AI/ML-p owered technology innovations that protect customers from sales abuse thro ugh unfair and illegitimate business practices across Amazon's global mark etplace\, safeguarding 300MM+ Amazon customers worldwide.\nPreviously\, as a VP at Goldman Sachs\, Manav led the fraud product team for Apple Card a nd spearheaded the launch of the digital High Yield Savings Account in par tnership with Apple\, the first banking product fully integrated into Appl e's iOS ecosystem\, which accumulated over $10 billion in deposits.\nManav has built a career translating complex technical challenges into customer -first innovations\, spanning marketplace trust and safety\, fraud detecti on\, digital banking\, and customer experience. An IEEE Senior Member\, Pr oducts That Count Advisory Council member\, and Forbes Technology Council member\, he speaks on ecosystem-driven product strategy\, fraud detection\ , AI governance\, and responsible AI implementation in regulated industrie s and e-commerce.\n\nSeattle Section EXCOM immediately follows 7PM- 8:30pm \n\nPsarking Link. PLease register for free parking\n\nHere's the parking link for Jan 20th.\n\nYou are invited to reserve parking for an event at S eattle University. To reserve parking\, click on the following link: https ://www.offstreet.io/events/0JKFLOM9\nand enter your vehicle license plate. Note: This is a virtual parking permit.\n\nAgenda: \nJanuary 20th 2026\, Pacific Time\n\n6:00pm- 6:50 pm. Distinquished speaker \; Manav Kapoor\, S enior Technical Product Manager\, Amazon\n\nAI-Driven Bad Actor Detection and Remediation: Bridging the Gap from Detection to Enforcement\n\n7:00pm- 8:30pm\; IEEE Seattle section EXCOM\n\n1) Section business\n\n2) Section finance\,\n\n3) Chapter report\;\n\n4) Stubent Branch report\n\n5) other b usiness\n\nHere's the parking link for Jan 20th.\n\nYou are invited to res erve parking for an event at Seattle University. To reserve parking\, clic k on the following link: https://www.offstreet.io/events/0JKFLOM9\nand ent er your vehicle license plate. Note: This is a virtual parking permit.\n\n Room: 107\, Bldg: Bann\, 901 12th Avenue\, \, Seattle\, Washington\, Unite d States\, 98122\, Virtual: https://events.vtools.ieee.org/m/533031 LOCATION:Room: 107\, Bldg: Bann\, 901 12th Avenue\, \, Seattle\, Washington \, United States\, 98122\, Virtual: https://events.vtools.ieee.org/m/53303 1 ORGANIZER:swen@ieee.org SEQUENCE:216 SUMMARY:IEEE Seattle January EXCOM and Distinquished lecture on Fraud detec tion Tuesday January 20th\, 2026 URL;VALUE=URI:https://events.vtools.ieee.org/m/533031 X-ALT-DESC:Description: <br /><p>Please join the IEEE Seattle Section&nbsp\ ; January&nbsp\; 20th EXCOM Meeting at Seattle University&nbsp\;</p>\n<p>& nbsp\;Prior to EXCOM \,&nbsp\; 6pm -&nbsp\; 6:50pm&nbsp\; Distinquished&nb sp\; speaker</p>\n<p><strong>Speaker :Manav Kapoor\, Senior Technical Prod uct Manager\, Amazon</strong></p>\n<p><strong>Topic: AI-Driven Bad Actor D etection and Remediation: Bridging the Gap from Detection to Enforcement</ strong></p>\n<div><strong>Abstract</strong></div>\n<div>Consumer fraud los ses reached $12.5 billion in 2024\, a 25% increase year-over-year\, despit e 99% of financial institutions deploying AI for fraud detection. This par adox reveals the industry's true challenge: while AI-powered detection has achieved 92-98% accuracy\, enforcement systems remain woefully underprepa red to act on those detections at scale.</div>\n<div>This talk examines wh y the bottleneck has shifted from finding bad actors to stopping them. Dra wing from 14+ years of building fraud prevention systems at Amazon\, Goldm an Sachs\, and Barclays\, Manav presents a practical framework for closing the detection-enforcement gap through four emerging capabilities: agentic AI case management\, unified risk intelligence\, automated dispute resolu tion\, and upstream network disruption.</div>\n<div><strong>Attendees will learn:</strong></div>\n<ol start="1">\n<li>\n<div role="presentation">How to evaluate AI fraud capabilities that matter: real-time decisioning unde r 200ms\, 40-60% fewer false positives\, and seamless customer experience without added friction.</div>\n</li>\n<li>\n<div role="presentation">Why s caling detection without enforcement infrastructure creates operational de bt\, and how to right-size AI investment for measurable business outcomes. </div>\n</li>\n<li>\n<div role="presentation">Co-branded card fraud patter ns unique to loyalty programs (points laundering\, synthetic redemption\, promo abuse) and how to build detection rules that protect brand partners without blocking legitimate high-value customers.</div>\n</li>\n<li>\n<div role="presentation">How to structure the fraud prevention P&amp\;L: balan cing direct loss prevention against false positive costs\, customer churn from declined transactions\, and operational expense of manual review queu es.</div>\n</li>\n</ol>\n<div>&nbsp\;</div>\n<div>The institutions that th rive in this AI-first era will recognize fraud prevention not as a cost ce nter\, but as a strategic capability enabling digital innovation at scale. </div>\n<div>&nbsp\;</div>\n<div>\n<div><strong>Biography:</strong>&nbsp\; Manav Kapoor is a seasoned product and technology leader with over 14 year s of experience driving innovation at the intersection of technology\, cus tomer experience\, and business strategy. He currently serves as a Senior Technical Product Manager at Amazon's Selling Partner Trust and Store Inte grity organization\, leading AI/ML-powered technology innovations that pro tect customers from sales abuse through unfair and illegitimate business p ractices across Amazon's global marketplace\, safeguarding 300MM+ Amazon c ustomers worldwide.<br>Previously\, as a VP at Goldman Sachs\, Manav led t he fraud product team for Apple Card and spearheaded the launch of the dig ital High Yield Savings Account in partnership with Apple\, the first bank ing product fully integrated into Apple's iOS ecosystem\, which accumulate d over $10 billion in deposits.<br>Manav has built a career translating co mplex technical challenges into customer-first innovations\, spanning mark etplace trust and safety\, fraud detection\, digital banking\, and custome r experience. An IEEE Senior Member\, Products That Count Advisory Council member\, and Forbes Technology Council member\, he speaks on ecosystem-dr iven product strategy\, fraud detection\, AI governance\, and responsible AI implementation in regulated industries and e-commerce.</div>\n<div>&nbs p\;</div>\n<div>Seattle Section&nbsp\; EXCOM immediately follows&nbsp\; 7P M- 8:30pm&nbsp\;</div>\n<div>&nbsp\;</div>\n<div>Psarking Link.&nbsp\; PLe ase register for free parking&nbsp\;</div>\n<div>\n<div>Here's the parking link for Jan 20th.</div>\n<div>&nbsp\;</div>\n<div>You are invited to res erve parking for an event at Seattle University. To reserve parking\, clic k on the following link:&nbsp\;<a id="m_8699710403237522459m_9052411913495 30356OWA7cc5f98c-6c54-8292-e4b2-0d6edee3d98b" title="Original URL: https:/ /www.offstreet.io/events/0JKFLOM9. Click or tap if you trust this link." h ref="https://www.offstreet.io/events/0JKFLOM9" target="_blank" rel="noopen er" data-saferedirecturl="https://www.google.com/url?q=https://www.offstre et.io/events/0JKFLOM9&amp\;source=gmail&amp\;ust=1768586319742000&amp\;usg =AOvVaw2Poik3jk-TXELgHAxPSC0w">https://www.offstreet.io/<wbr>events/0JKFLO M9</a><br>and enter your vehicle license plate. Note: This is a virtual pa rking permit.</div>\n</div>\n</div><br /><br />Agenda: <br /><p>&nbsp\;Jan uary 20th 2026\,&nbsp\; Pacific Time</p>\n<p>&nbsp\;6:00pm- 6:50 pm.&nbsp\ ; &nbsp\;<strong>Distinquished speaker </strong>\; <strong>Manav Kapoor\, Senior Technical Product Manager\, Amazon</strong></p>\n<p><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; & nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; AI-Driven Bad Actor Detecti on and Remediation: Bridging the Gap from Detection to Enforcement</strong ></p>\n<p><strong>&nbsp\; 7:00pm- 8:30pm\;&nbsp\; IEEE Seattle section EXC OM</strong></p>\n<p><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\ ; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; 1) Section business</strong></p>\n<p><strong>&nbsp\; &nbsp\; &nbsp \; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; 2)&nbsp\; Section finance\,</strong><stro ng>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; & nbsp\;</strong></p>\n<p><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &n bsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbs p\; &nbsp\; 3)&nbsp\; Chapter report\;&nbsp\;</strong></p>\n<p><strong>&nb sp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp \; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; 4)&nbsp\; Stubent&nbsp\ ; Branch&nbsp\; report</strong></p>\n<p><strong>&nbsp\; &nbsp\; &nbsp\; &n bsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbs p\; &nbsp\; &nbsp\; &nbsp\; 5)&nbsp\; &nbsp\;other business&nbsp\; &nbsp\; &nbsp\;</strong></p>\n<p><strong>&nbsp\; &nbsp\; &nbsp\;</strong></p>\n<d iv>Here's the parking link for Jan 20th.</div>\n<div>&nbsp\;</div>\n<div>Y ou are invited to reserve parking for an event at Seattle University. To r eserve parking\, click on the following link:&nbsp\;<a id="m_8699710403237 522459m_905241191349530356OWA7cc5f98c-6c54-8292-e4b2-0d6edee3d98b" title=" Original URL: https://www.offstreet.io/events/0JKFLOM9. Click or tap if yo u trust this link." href="https://www.offstreet.io/events/0JKFLOM9" target ="_blank" rel="noopener" data-saferedirecturl="https://www.google.com/url? q=https://www.offstreet.io/events/0JKFLOM9&amp\;source=gmail&amp\;ust=1768 586319742000&amp\;usg=AOvVaw2Poik3jk-TXELgHAxPSC0w">https://www.offstreet. io/<wbr>events/0JKFLOM9</a><br>and enter your vehicle license plate. Note: This is a virtual parking permit.</div>\n<p><strong> &nbsp\; &nbsp\; &nbs p\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;&nbsp\;</strong></p> END:VEVENT END:VCALENDAR