BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//TechWorks - ECPv6.18.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:TechWorks
X-ORIGINAL-URL:https://techworks.org.uk
X-WR-CALDESC:Events for TechWorks
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260129T140000
DTEND;TZID=Europe/London:20260129T143000
DTSTAMP:20251127T183501Z
CREATED:20251127T183501Z
LAST-MODIFIED:20251127T183501Z
UID:3712-1769695200-1769697000@techworks.org.uk
SUMMARY:IoTSF January 2026 Webinar
DESCRIPTION:With Anupam Mediratta (Stealth Startup) – Building Adaptive IoT Security with AI-Generated Attack Simulation and Florian Lukavsky (SignPath) with all the CRA latest. \nIoT attacks have surged 400% year-over-year\, with AI-powered threats now bypassing 78% of traditional security measures.  \nManufacturing faces 906 unique threat signatures\, while critical infrastructure absorbed 71 billion attack attempts in 2024 alone.  \nTraditional detection methods are fundamentally broken. \nThis talk presents groundbreaking research that flips the script on IoT security: using AI to generate synthetic “hard-negative” attacks that train smarter\, more resilient detection systems.  \nWe combine diffusion-based generative models with pre-trained time-series foundation models to create attacks that mirror real-world APT tactics—from polymorphic malware to living-off-the-land techniques. \nOur approach specifically addresses the critical gap in current IoT security: the insufficient diversity of attacks in training data.  \nBy generating synthetic attacks that maintain benign statistical properties while executing malicious actions\, we prepare defences for threats that don’t yet exist in the wild. \nWith malicious APT groups targeting cyber-physical systems and “malware sentience” emerging through AI-powered autonomous attacks\, this research offers a critical path forward.  \nWe’re not just detecting known threats—we’re anticipating and defending against the AI-enhanced attacks of tomorrow. \nAnupam Mediratta bio: Anupam is an entrepreneur in the field of AI and Machine Learning. He was previously a PhD student (now a dropout) at the University of Edinburgh\, where he became interested in applying AI to IoT security. He has been an IoTSF professional member for the last few years\, which has helped him understand the space of IoT Security. He has also been a tech/ML lead at Microsoft\, Uber and a couple of startups. He also holds a few papers/patents in the field of AI.
URL:https://techworks.org.uk/event/iotsf-january-2026-webinar/
LOCATION:Webinar
CATEGORIES:IoTSF,past-events,TechWorks
ATTACH;FMTTYPE=image/jpeg:https://techworks.org.uk/wp-content/uploads/2025/11/NEW-Techworks-site-featured-images-96.jpg
END:VEVENT
END:VCALENDAR