IoTSF Assurance Framework meeting – January 2026
IoTSF Assurance Framework meeting - January 2026. Details, notes and meeting links are available via our members' platform.
IoTSF Assurance Framework meeting - January 2026. Details, notes and meeting links are available via our members' platform.
This SIG seeks to define and develop the essential requirements for an attested inventory of AI systems components that can be used to create a standardised methodology to determine and assure trustability for a given implementation. Meeting link available on our members' platform.
We're excited to announce the speakers for the upcoming IoTSF Bangalore meetup, sponsored by NXP India.
Automated vehicle data is important to stakeholders across the CCAM spectrum, for all manner of use cases from research to regulation compliance. But many challenges remain.
Automated vehicle data is important to stakeholders across the CCAM spectrum, for all manner of use cases from research to regulation compliance. But many challenges remain.
'Navigating IoT compliance in a global regulatory landscape', taking place at the IWM Duxford on Wednesday 21st January 2026, this is an official IoTSF partner event
The UK’s deep-tech community gathered in style at the 2025 TechWorks Awards & Gala Dinner, held on Wednesday, 3rd December at the Royal Lancaster Hotel in London. The black-tie event celebrated excellence in innovation, leadership, and real-world impact across the UK’s technology ecosystem. During the evening, the IoT Security Foundation (IoTSF), a global, not-for-profit
Please respond to help prioritise the focus for the new IoTSF Energy special interest group (SIG)
This talk examines the security and assurance challenges inherent in granting AI systems real agency, highlights plausible failure modes and rapid-escalation scenarios, and outlines practical strategies for maintaining control, observability, and resilience in autonomous AI deployments.
This talk examines the security and assurance challenges inherent in granting AI systems real agency, highlights plausible failure modes and rapid-escalation scenarios, and outlines practical strategies for maintaining control, observability, and resilience in autonomous AI deployments.