Registration required: May 8, 2025 – 7:00pm – 9:00pm Pacific Time | 2 CPEs
Session One – AI Trust Score for Operationalizing AI deployments
Generative AI applications have a number of risks such as hallucination, prompt injection, jail break, data extraction and model theft amongst others as defined in the OWASP LLM Top 10.
Rohit Valia and Chitti Keswani from Tumeryk will show how security and risk evaluation of LLMs can be automated and scored to allow a quantifiable way to compare the models. Based on the deficiencies we will also show how to create policies to mitigate the prompt responses in near real time.
Rohit Valia is the CEO and Founder of Tumeryk.com, an enterprise AI security pioneer. His vast domain expertise spans fintech, cloud computing, AI/ML, and analytics. He is an accomplished technologist with a rich history of high-impact results at industry leaders like IBM, Oracle, and Sun. He led development of the first stealth firewall (SunScreen Firewall), launched the world’s first pay-per-use infrastructure-as-a-service solution (Sun Grid), led Product Management for J2EE application servers and led the cloud transformation of the leading financial services AI/ML platform at FICO by crafting strategies to offer real-time SLAs for billions of financial transactions.
Tumeryk is the AI Trust Score™ company. Tumeryk provides a FICO®-like credit score for Gen AI systems, ensuring a trusted user experience.
Session Two – The Tectonic Weaknesses in Data Security
Dormant data and identities may seem harmless, but like the tectonic weaknesses that lead to volcanoes and devastating earthquakes, they lie in wait—until disaster strikes. This session explores how overlooked, unused accounts and forgotten data stores create hidden security risks, leading to devastating breaches. Using natural disaster analogies, Claude Mandy from Symmetry Systems will uncover real-world incidents, warning signs to watch for, and strategies to mitigate these silent but destructive tectonic weaknesses before they shake your organization’s security foundations.
Claude Mandy is Chief Evangelist for Data Security at Symmetry, where he focuses on innovation, industry engagement and leads efforts to evolve how modern data security is viewed and used in the industry. Prior to Symmetry, he spent 3 years at Gartner as a senior director, analyst covering a variety of topics across security, risk management and privacy, focusing primarily on what are the building blocks of successful programs, including strategy, governance, staffing/talent management and organizational design and communication. He brings firsthand experience of building information security, risk management and privacy advisory programs with global scope. Prior to joining Gartner, Mr. Mandy was the global Chief Information Security Officer at QBE Insurance – one of the world’s top 20 general insurance and reinsurance companies with operations in all the key insurance markets, where he was responsible for building and transforming QBE’s information security function globally. Prior to QBE, Claude held a number of senior risk and security leadership roles at the Commonwealth Bank of Australia, Australia’s leading provider of integrated financial services which is widely recognized for its technology leadership and banking innovation. He also spent five years at KPMG in Namibia and South Africa.
Symmetry Systems is the Data+AI Security Company. We safeguard data at scale, detect threats, ensure compliance & reduce AI risks, so you can Innovate with Confidence. Our Data Security Posture Management platform is engineered specifically to address modern data security and privacy challenges at scale from the data out, providing organizations the ability to innovate with confidence. With total visibility into what data you have, where it lives, who can access it, and how it’s being used, Symmetry safeguards your organization’s data from misuse, insider threats, and cybercriminals, as well as unintended exposure of sensitive IP and personal information through use of generative AI technologies.
