BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 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:20251006T020427Z UID:1708E081-58CC-436F-99DF-C6A44C6D478C DTSTART;TZID=America/Los_Angeles:20250923T190000 DTEND;TZID=America/Los_Angeles:20250923T200000 DESCRIPTION:The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership requi red):\n\nFirst Speaker: Rakesh Keshava ([Connect on LinkedIn](https://www. google.com/url?q=https://www.linkedin.com/in/rakeshkeshava/&sa=D&source=ca lendar&ust=1758000100316663&usg=AOvVaw0LIL5eCByYTRedaw9gSHS_))\n\nTitle: M anaging Secrets at Scale in Traditional Enterprise\, Cloud\, and AI System s\n\nAbstract: In modern architectures spanning enterprise data centers\, multi-cloud platforms\, and AI workloads\, secret management is both a sec urity and engineering priority. This session examines patterns for securin g API keys\, tokens\, and encryption keys at scale\, including automated r otation\, policy-driven access\, and zero-trust integration. We will discu ss reference architectures and tooling choices that ensure secrets remain protected without slowing down development or deployment velocity.\n\nBio: Rakesh Keshava is a Senior Member of IEEE and a Software Architect\, Secu rity at Okta Inc.\, specializing in identity\, access management\, cryptog raphy\, and AI-driven security solutions. He has over 17 years of experien ce designing and delivering secure cloud architectures for global enterpri ses. Rakesh is the named inventor on three U.S. patents\, cited more than 200 times by major technology companies\, with innovations spanning identi ty-centric encryption\, automated key lifecycle management\, and scalable policy enforcement frameworks. He actively contributes to scholarly work a s a reviewer for Elsevier journals and IEEE conferences\, and participates in technical program committees worldwide. Rakesh mentors professionals i n the security community and collaborates on initiatives aimed at advancin g cybersecurity practices. His current interests include post-quantum cryp tography\, AI-enhanced identity systems\, and the integration of advanced security models into modern cloud-native environments. Driven by innovatio n and a commitment to secure digital ecosystems\, he continues to shape so lutions that address emerging security challenges.\n\nSecond Speaker: Ranj an Sinha ([Connect on LinkedIn](https://www.google.com/url?q=https://www.l inkedin.com/in/sinharanjan/&sa=D&source=calendar&ust=1758000100316663&usg= AOvVaw0lQ8IZgmX3Sgs6g2EVdvKp))\n\nTitle: Natural Language Interaction Prot ocol: A Universal Application-Level Protocol for the Age of Generative AI\ n\nAbstract: The advent of Large Language Models (LLMs) has made an intera ctive natural language interaction feasible between machines in a manner t hat did not exist before. An implication is that a natural language interf ace can replace many mobile applications that are used today. Just like th e advent of the browser in 1990s simplified technology by replacing a plet hora of client-side applications with a single standard application\, a co mmon natural language interaction protocol can potentially replace the ple thora of mobile applications that exists today\, providing a universal app lication layer protocol. Convergence to a universal application layer prot ocol would bring significant benefits to all segments of society – consu mers can use a single application for various interactions\, businesses wi ll have a simpler maintenance burden for their IT infrastructure\, and int egration among different businesses can be streamlined.\n\nBio: Ranjan Sin ha is an IBM Fellow and CTO for watsonx in IBM Research AI. He works at th e intersection of Technology\, Research\, Product\, and Enterprise-scale u se cases in AI. He is involved in cutting-edge initiatives in Data and AI and is on the front lines of transforming IBM itself into an AI Enterprise by infusing AI into real-world applications and helping IBM's clients nav igate their data and AI journeys. From 2016–2023\, he built IBM’s Cogn itive Enterprise Data Platform\, the backbone of IBM’s AI-driven transfo rmation. He is passionate about promoting wellness\, safety and empowermen t of vulnerable groups\, and an advocate for social and global issues.\n\n Speaker(s): Rakesh Keshava\, Ranjan Sinha\n\nVirtual: https://events.vtool s.ieee.org/m/500300 LOCATION:Virtual: https://events.vtools.ieee.org/m/500300 ORGANIZER:ruben.glatt@ieee.org SEQUENCE:18 SUMMARY:Tech Talks: Managing Secrets at Scale & Natural Language Interactio n Protocol URL;VALUE=URI:https://events.vtools.ieee.org/m/500300 X-ALT-DESC:Description: <br /><p>The San Francisco Bay Area chapter of the IEEE Computer Society invites to our free and open Virtual Tech Talks (no IEEE membership required):</p>\n<p><strong>First Speaker:&nbsp\;</strong>R akesh Keshava (<a href="https://www.google.com/url?q=https://www.linkedin. com/in/rakeshkeshava/&amp\;sa=D&amp\;source=calendar&amp\;ust=175800010031 6663&amp\;usg=AOvVaw0LIL5eCByYTRedaw9gSHS_" target="_blank" rel="noopener" >Connect on LinkedIn</a>)</p>\n<p><strong>Title:&nbsp\;</strong>Managing S ecrets at Scale in Traditional Enterprise\, Cloud\, and AI Systems</p>\n<p ><strong>Abstract:</strong>&nbsp\;In modern architectures spanning enterpr ise data centers\, multi-cloud platforms\, and AI workloads\, secret manag ement is both a security and engineering priority. This session examines p atterns for securing API keys\, tokens\, and encryption keys at scale\, in cluding automated rotation\, policy-driven access\, and zero-trust integra tion. We will discuss reference architectures and tooling choices that ens ure secrets remain protected without slowing down development or deploymen t velocity.</p>\n<p><strong>Bio:</strong>&nbsp\;Rakesh Keshava is a Senior Member of IEEE and a Software Architect\, Security at Okta Inc.\, special izing in identity\, access management\, cryptography\, and AI-driven secur ity solutions. He has over 17 years of experience designing and delivering secure cloud architectures for global enterprises. Rakesh is the named in ventor on three U.S. patents\, cited more than 200 times by major technolo gy companies\, with innovations spanning identity-centric encryption\, aut omated key lifecycle management\, and scalable policy enforcement framewor ks. He actively contributes to scholarly work as a reviewer for Elsevier j ournals and IEEE conferences\, and participates in technical program commi ttees worldwide. Rakesh mentors professionals in the security community an d collaborates on initiatives aimed at advancing cybersecurity practices. His current interests include post-quantum cryptography\, AI-enhanced iden tity systems\, and the integration of advanced security models into modern cloud-native environments. Driven by innovation and a commitment to secur e digital ecosystems\, he continues to shape solutions that address emergi ng security challenges.<br><br></p>\n<p><strong>Second Speaker:&nbsp\;</st rong>Ranjan Sinha (<a href="https://www.google.com/url?q=https://www.linke din.com/in/sinharanjan/&amp\;sa=D&amp\;source=calendar&amp\;ust=1758000100 316663&amp\;usg=AOvVaw0lQ8IZgmX3Sgs6g2EVdvKp" target="_blank" rel="noopene r"><u>Connect on LinkedIn</u></a>)</p>\n<p><strong>Title:&nbsp\;</strong>N atural Language Interaction Protocol: A Universal Application-Level Protoc ol for the Age of Generative AI</p>\n<p><strong>Abstract:&nbsp\;</strong>T he advent of Large Language Models (LLMs) has made an interactive natural language interaction feasible between machines in a manner that did not ex ist before. An implication is that a natural language interface can replac e many mobile applications that are used today. Just like the advent of th e browser in 1990s simplified technology by replacing a plethora of client -side applications with a single standard application\, a common natural l anguage interaction protocol can potentially replace the plethora of mobil e applications that exists today\, providing a universal application layer protocol. Convergence to a universal application layer protocol would bri ng significant benefits to all segments of society &ndash\; consumers can use a single application for various interactions\, businesses will have a simpler maintenance burden for their IT infrastructure\, and integration among different businesses can be streamlined.</p>\n<p><strong>Bio:</stron g> Ranjan Sinha is an IBM Fellow and CTO for watsonx in IBM Research AI. H e works at the intersection of Technology\, Research\, Product\, and Enter prise-scale use cases in AI. He is involved in cutting-edge initiatives in Data and AI and is on the front lines of transforming IBM itself into an AI Enterprise by infusing AI into real-world applications and helping IBM' s clients navigate their data and AI journeys. From 2016&ndash\;2023\, he built IBM&rsquo\;s Cognitive Enterprise Data Platform\, the backbone of IB M&rsquo\;s AI-driven transformation. He is passionate about promoting well ness\, safety and empowerment of vulnerable groups\, and an advocate for s ocial and global issues.</p> END:VEVENT END:VCALENDAR