Advait Patel is a Senior Site Reliability Engineer at Broadcom and the creator of DockSec, an open-source, AI-powered Docker security analyzer. Advait is a Docker Captain, Google Developer Expert (google cloud, and AI) and regular speaker at major security and developer conferences, including QConAI Boston, SANS CloudSecNext, OWASP GlobalAppSec US, OWASP SnowFROC, PlatformCon, Linux Security Summit North America, O’Reilly Media AI CodeCon, Redgate Cloud Summit, DataWeek, Open Cloud Security Conference, CornCon, ISACA, Silicon Valley Cybersecurity Conference, and IEEE Cloud Summit. He is an active contributor to the Cloud Security Alliance’s AI Control Matrix (AICM) and has authored implementation guidelines focused on securing LLM workloads and AI pipelines in enterprise environments.

AI is rewriting what industries can do, and the leaders who govern it with seriousness and imagination will reshape theirs rather than scramble to catch up. I help those leaders imagine beyond what AI makes possible today, then usher them through the transformation for the betterment of the people their industries serve. It starts with something deceptively simple: helping organizations make sound AI decisions they can stand behind, quickly and confidently. Done right, that discipline is not a brake on ambition. It is what lets a company reimagine what is possible with AI. My work sits at the intersection of law, governance, risk, compliance, ethics, strategy, and systems design. After 15+ years in risk and compliance roles, most recently as Chief Compliance Officer where I built the company's AI governance framework from the ground up, I founded EMG Advisory on a conviction: AI does not need more hype. It needs structure, accountability, and leaders who treat risk as a strategic discipline. That is the part most people miss: When done well, risk management does not slow AI down. It decides where you can afford to move fast and where you cannot, and it is inseparable from strategy; your AI strategy does not survive without it. The other half of how I work is AI-native wiring. I think in systems, synthesize fast, and collaborate with AI at the conceptual layer as a cognitive partner, translating complexity into strategic clarity. It is also how EMG itself is built: I practice the responsible, operationalized AI I help my clients deploy. I work with organizations that want to use AI strategically, responsibly, and with foresight. I help leaders: - Turn AI risk and compliance into strategic advantage - Make defensible AI decisions at the speed of business - Translate regulatory ambiguity into operational clarity - Anticipate second and third order effects before they surface - Design governance that works in practice, not just on paper The regulatory landscape shifts faster than most AI roadmaps and the patchwork of overlapping laws and standards leaves organizations unsure what they must comply with. Pair that with AI that stalls in committee and governance impeccable on paper that no one operates by and the gap becomes clear. Closing it is where I do my best work. But closing the gap is the floor, not the ceiling. The organizations that govern AI with seriousness and imagination will not just keep up; they will transform what their industries can do for the people who depend on them. That is the future I am building toward. Je m’appelle Andrea

Ankita Gupta is Co-Founder and CEO of Akto, an Agentic AI Security platform securing AI agents across Enterprises. With 15+ years across cybersecurity, engineering, and go-to-market leadership at VMware, LinkedIn, and JPMorgan Chase, she holds a masters from Dartmouth College. She is a leading voice in AI and application security, Ankita speaks at Black Hat USA, OWASP, Defcon, RSA, and GraphQLConf. She serves on the CSA AI Safety Council and is a Forbes Technology Council member. Her work focuses on securing autonomous AI behavior, Enterprise AI Governance, and emerging risks around AI agents and MCP ecosystems. She runs an AI Security newsletter with 5,000+ subscribers and is followed by 25,000+ security professionals on LinkedIn.

Anna R. Dudley is a former Army Intelligence Officer and Principal Advisor for Special Projects. Her work focuses on bringing analytic-tradecraft discipline to generative-Artificial Intelligence (AI) risk across financial services, intelligence, and public-policy environments. She is the author of the forthcoming book Structured Analytic Techniques (SATs) in a Generative Environment, which redesigns the foundational diagnostic and contrarian SATs. Her public-accountability work includes the Surveillance Pricing Index (SPX), a 65-company composite scoring framework anchored on Federal Trade Commission (FTC) Section 6(b) supply-chain evidence, and the Data Center Stress Index (DCSI), a county-level infrastructure stress grading tool. She lives and works in the United States.

Anna Loshkareva is a Vice President Risk Officer within the Digital organization at Navy Federal Credit Union, where she leads risk governance and oversight across digital products, platforms, and innovation initiatives. In this role, she partners closely with business and technology leaders to embed risk management into the development lifecycle, enabling secure, resilient, and compliant digital experiences for members. [office.com] She oversees a broad portfolio spanning technology risk, data governance, regulatory compliance, operational risk, and emerging risks such as AI and digital transformation, serving as a trusted advisor to executive leadership on strategic decision-making and risk-informed innovation.

Cyber Security and Risk Executive with over 25 years of experience building and running Cyber Security programs of different sizes and scales. Proven record of bridging business and security missions together. Focus on empowering innovation, fostering collaboration, and promoting risk-based approach to security. My mission is to protect and enable the business by transforming the culture from “No” to “KNOW”. Expertise includes governance, compliance, risk management, security engineering and operations, Cloud, threat intelligence, threat management, incident response.

Anshu Gupta is a hands on security professional with Fortune 500 security consulting experience at Ernst & Young and KPMG where he worked at companies like Microsoft, Salesforce, Oracle, Cisco, McAfee, Adobe, Yahoo, GAP, Kaiser among others. Based on advice from his mentors, he then moved on to get startup experience at Coupa Software (now a public company), HelloSign (acquired by DropBox), where he was the first security hire and had to build the whole security program from scratch and hire the information security team as well. Anshu served as the Head of Security Engineering at Varo Bank. He also served as the CISO at Fast and VP, Security and Privacy at SPAN.io.

Art Gilliland is CEO at Delinea and brings proven success in the global enterprise software industry, leading large organizations in product development, enterprise infrastructure, cybersecurity, go-to-market strategy, and SaaS operations. He most recently was SVP/GM of the Symantec Enterprise Division of Broadcom reporting to the CEO, where he led the integration and business operations post-acquisition. Before Symantec, Art held executive positions at Skyport Systems, HP, Symantec, and IMlogic.

Barak Sternberg is CEO and co-founder of Tenet Security and previously founded Wild Pointer, a boutique cybersecurity firm serving Fortune-500 enterprises and startups. With 15+ years in offensive research and product security, Barak co-led Cisco’s GenAI security research initiative and has presented research at conferences including DEFCON, Hacktivity, ROOTCON, Blackhat and more. His work focuses on practical exploitation techniques and building defensive controls that scale to real engineering teams.

Ben Goodman is Founder & CEO of CyRisk, an AI-powered cyber and privacy risk analytics platform used by leading insurance carriers to assess organizational AI and cyber risk posture at scale. He also founded 4A Security & Compliance, advising enterprises on cybersecurity strategy, AI risk governance, and regulatory compliance. This dual practitioner perspective working with both the underwriters who price cyber coverage and the security leaders who must satisfy them gives Ben a ground-level view of where AI risk governance is maturing and where it's falling short. He served on the CAS Cyber Risk Task Force and the SOA Expert Panel on Catastrophic Cyber Risk; his paper The Cyber Risk Ecosystem won first prize for Applied Enterprise Risk Management at the joint CAS/CIA/SOA competition.

Bethany Abbate is the Director of Artificial Intelligence Policy at the Software & Information Industry Association (SIIA), the principal trade association for the technology and information industry. SIIA's nearly 400 members include AI model developers, data analytics forms, edtech companies, financial information providers, and publishers, all of whom are at the forefront of AI innovation worldwide. Bethany leads SIIA's advocacy on AI policy before Congress, federal agencies, and state legislatures. Her background bridges government affairs, technology policy, and strategic communications. She holds an M.A. in Strategy, Cybersecurity, and Intelligence from Johns Hopkins SAIS and a B.A. in Civic Communication and Media from Willamette University.

Bret Kinsella is SVP of AI Research and Products, and General Manager of Fuel iX at TELUS Digital. TELUS and TELUS Digital AI-enabled applications generated over $100 million in benefits and processed more than 2 trillion AI tokens in 2025 across AI security, customer experience, and general-purpose productivity use cases. Bret has more than 350 academic citations on Google Scholar, and he founded Voicebot.ai, the most-cited source of technical analysis and news on generative and conversational AI between 2016 and 2024. He has keynoted technology conferences in the U.S. and Europe, including CES and Mobile World Congress. He has also served as a guest columnist for Harvard Business Review, USA Today, WIRED, and VentureBeat. Bret is a graduate of UCLA and the Wharton School.

Brian "SchleiF" Schleifer is Director of Content for SecurityWeek Events. He is a retired United States Air Force veteran, cybersecurity professional, podcast host and content leader. He previously served in senior cybersecurity engineering and leadership roles at Modern Technology Solutions, Inc. His experience includes cyber-physical and weapon systems security, security control assessment, cyber testing, risk management, and AI governance. He is pursuing a Doctor of Technology at Purdue University, where his research focuses on adaptive cybersecurity policy for AI-enabled systems. He is also the creator of the Adaptive Artificial Intelligence Risk and Assurance Framework, or AAIRAF. With more than 10,000 hours of public speaking, instruction, and panel moderation experience, Brian is known for making complex cybersecurity, technology, and risk topics practical and accessible.

Cal is a globally recognized data scientist, entrepreneur, and IAPP Certified AI Governance Professional advancing the practice of Trust Engineering for AI. His work focuses on how organizations design, deploy, monitor, and govern AI systems at scale. He leads emerging tech thought leadership at Rubrik, where he focuses on AI, cyber resilience, and enterprise trust. Cal founded Pandata, an AI design and development firm serving regulated industries including healthcare, energy, and financial services. He grew the firm to serve clients including Cleveland Clinic, Progressive Insurance, and FirstEnergy, leading to its acquisition by Further in 2024. He has spoken at MAICON, ODSC, AI Summit, and DataCamp, with insights featured in Forbes, Nasdaq, VentureBeat, and Open Data Science.

David Abutbul is an AI Security Researcher at Prompt Security, a SentinelOne company. His work focuses on agentic AI attack surfaces, AI coding-assistant security, prompt injection, tool abuse, and practical AI red teaming. He has published blogs researching hidden repository instructions, marketplace skill dependency hijacking, agentic runtime boundaries, and red-teaming real-world AI systems. David turns hands-on security research into practical guidance for defenders adopting AI systems.

Deepanker Saxena was named this year’s Okta's Identity 25, one of just 25 innovators worldwide recognized for being pioneers of securing identity in the age of AI. He is currently the Head of Document Verification, Biometrics and Age Assurance Products at Socure, where he leads the vision and strategy for building scalable and secure identity verification solutions. Leveraging cutting-edge machine learning and AI technologies, Deepanker collaborates with cross-functional teams across data science, engineering, and business operations to enhance the product’s capabilities. Passionate about solving real-world challenges, he is committed to creating inclusive and impactful solutions that foster trust and security across industries.

Eshaan Jain is a technology leader specializing in AI-driven enterprise platforms, risk management, and scalable product architecture. With over a decade of experience building and leading complex enterprise solutions, he focuses on integrating AI into business-critical systems while ensuring security, compliance, and governance. Eshaan has led initiatives across AI adoption, enterprise SaaS platforms, and digital transformation, with a strong emphasis on aligning innovation with risk management frameworks. His work bridges the gap between cutting-edge AI capabilities and real-world enterprise constraints, enabling organizations to scale AI responsibly.

Eti Rastogi is an Applied Scientist at Amazon AWS working on AI safety, LLMs, and multimodal systems. She leads the science direction for Amazon Bedrock Guardrails — the AI safety system protecting tens of thousands of enterprises globally. Previously, she was the first AI hire at DeepScribe, where she built the entire AI function from scratch to power documentation for over 3 million cancer care visits annually. At Scale AI, she built evaluation systems for frontier models used by hundreds of millions of people.

Jacob Rideout is the Chief Technology Officer of HiddenLayer, a cybersecurity start-up dedicated to preventing adversarial machine learning attacks. He has over a decade of experience leading engineering, product management, threat research, and data science teams, with a focus on security products at organizations such as Salesforce and Agari. Jacob has successfully brought multiple cutting-edge products to market, overseen acquisition transitions, collaborated with technical working groups at M3AAWG, ETIS, IETF, and MITRE, and managed research patents. Jacob lives in Raleigh, North Carolina, with his wife Sarah and son Solomon.

Jacob Rideout is the Chief Technology Officer of HiddenLayer, a cybersecurity start-up dedicated to preventing adversarial machine learning attacks. He has over a decade of experience leading engineering, product management, threat research, and data science teams, with a focus on security products at organizations such as Salesforce and Agari. Jacob has successfully brought multiple cutting-edge products to market, overseen acquisition transitions, collaborated with technical working groups at M3AAWG, ETIS, IETF, and MITRE, and managed research patents. Jacob lives in Raleigh, North Carolina, with his wife Sarah and son Solomon.

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Jerry Adams Franklin is an AI/ML Research Consultant and former Senior AI Engineer at Digital Currency Group and Deep Learning Engineer at Intel. He specializes in LLM fine-tuning, federated learning, and production AI infrastructure where data privacy is non-negotiable. At DCG, he architected decentralized federated training infrastructure using stake-weighted participation, commit-reveal voting, and smart contract coordination, while deploying a RAG pipeline supporting $450K+ in AI-informed investment decisions. At Intel, he improved TensorFlow CPU performance by 400%, earning the Division Achievement Award. He holds an MS in Data Science from Northeastern University and has spoken at EthCC Brussels 2024 and NEARCON 2026.

José is a strategic cybersecurity advisor at Mandiant, part of Google Cloud, specializing in securing AI deployments and aligning technical risk with business objectives. With over a decade of experience across IT, OT, and AI landscapes, he moves security from abstract theory to frontline execution. His background spans network administration, cloud threat assessments, and executive tabletop simulations, focusing on translating complex threats into high-impact governance strategies. José’s work spans the entire risk lifecycle, helping global organizations safely adopt autonomous technologies and implement resilient guardrails. Beyond Google, he serves on corporate advisory boards, guiding organizations through the rapid evolution of emerging tech.

Joshua Copeland is a cybersecurity executive, professor, author, startup advisor, and speaker focused on AI risk, cyber resilience, and trust. He serves as Director of Cybersecurity at Crescendo, teaches cybersecurity at Tulane University, and is Deputy Commander of the Louisiana State Guard Cyber Reserve. A 20-year Air Force veteran, Joshua has led across security operations, governance, cloud security, customer assurance, and executive risk strategy. He is the author of Unpopular Opinion: Burning Down the Bullsht to Rebuild Cybersecurity* and the forthcoming The Empathic Hacker. Known as “The Unpopular Opinion Guy,” he advises startups on AI governance, GTM credibility, and turning security into business trust.

Kayla Williams is a fractional CISO, GRC strategist, and co-founder of Williams Rose AI Cyber Advisory. With a career spanning global financial institutions and SaaS companies with complex M&A environments, she has built enterprise security programs, managed high-stakes incidents, and navigated the regulatory frameworks governing the world's most scrutinized industries. Today she also leads Kayla Williams Consulting and advises enterprises on the real-world collision of AI adoption, fragmented regulation, and operational risk. She speaks from the trenches, for the CISOs and security leaders who can't wait for policy to catch up with reality.

Keavy Murphy is a Boston-based security professional currently serving as the Vice President of Security at Net Health. Passionate about cybersecurity and responsible AI adoption, she focuses on securely enabling innovation and aligning risk management with business objectives. Previously, she served in security roles and led global teams at Starburst Data, Cambridge Mobile Telematics, Alegeus, and State Street. Her work has been published in Dark Reading and Info Security Magazine and presented at seminars including the Chief Data and Analytics Officers Conference, Tech Show London, SecureWorld and FutureCon. She is a volunteer with Boston Cares, has served in the ISACA Mentor program, and holds both CIPP & CIPM certifications.

Dr. Kellep Charles serves as the Cybersecurity Chair as well as the Director of Center for Cybersecurity Research and Analysis (CCRA) for Capitol Technology University’s Cybersecurity department. Dr. Charles (@kellepcharles) completed his Doctorate in Cybersecurity at Capitol Technology University and worked as a government contractor as an information security analyst for over 25 years in the areas of incident response, computer forensics, security assessments, malware analysis, and security operations. He is the creator and executive editor of SecurityOrb.com (@SecurityOrb), an information security & privacy knowledge-based website with the mission to share and raise awareness of the motives, tools, and tactics of the black-hat community.

Kunal Anand leads F5 as Chief Product Officer, driving product vision, strategy, and execution to create solutions that address critical challenges and deliver exceptional customer experiences. Previously, as Chief Technology and AI Officer, Kunal defined F5’s technology and AI vision. Before F5, he was CTO and CISO at Imperva, joining through its acquisition of Prevoty, an application security startup he co-founded in 2013. Earlier, he was Director of Technology at BBC Worldwide and held leadership roles at Gravity, MySpace, and NASA Jet Propulsion Lab. With 15+ years in AI and machine learning, his expertise includes model training, employing AI algorithms, and designing AI architectures. Kunal holds a Bachelor of Science in computer science from Babson College.

Leah Siskind is FDD’s director of impact and AI research fellow at FDD’s Center on Cyber and Technology Innovation. At CCTI, her research focuses on the adversarial use of AI by state and non-state actors — including Iran, China, Russia, North Korea — targeting the United States and its allies. Leah served as the deputy director of the AI Corps at DHS. She previously spent four years with the U.S. Digital Service in the White House, where she led efforts to modernize government technology. Her private sector experience includes roles at data and analytics companies such as Palantir and Uptake. Earlier in her career, she served as chief of staff to former Obama adviser David Axelrod and worked in diplomacy as a representative of Israel’s Foreign Ministry.

Mahesh Babu is a former VP of Information Security, now a company builder, who leads growth at Kodem, a venture‑backed application security startup. At HSBC he built and scaled global application‑security and identity‑access‑management platforms that safeguard billions of transactions. His career began at Purdue University’s Information Assurance & Security Research Center, where he researched secure software engineering. Mahesh blends academic rigor with enterprise and startup execution to help organizations stay ahead of modern threats.

Malcolm Harkins is Chief Security & Trust Officer at HiddenLayer, focused on trusted infrastructure, cyber risk education, and executive coaching for CISOs. He previously held CSPO/CISO roles at Intel for over 24 years, plus CSTO at Cylance. He's authored "Managing Risk and Information Security: Protect to Enable®" (2 editions), testified before the U.S. Senate and FTC, and received numerous honors (RSA Excellence Award, Computerworld Premier 100, ISC² Leadership Award, Cyber Defense Magazine's Top CSO). He's a Fellow at ICIT, serves on the Cyber Risk Alliance board, and holds a BA in Economics (UC Irvine) and an MBA (UC Davis).

Mani Ganesan is a technology leader with deep expertise in cloud networking, AI innovation, and security infrastructure. With experience scaling enterprise solutions, he drives innovation and operational excellence while fostering diverse teams. Mani shares insights on AI, multi-cloud, and data security and holds a master’s in engineering management from Duke University and a B.E. in Electrical and Electronics Engineering.

Matt Fiedler is a Senior Product Manager and member of the Office of the CTO at Check Point, where he leads the AI red teaming product and professional services. He joined Check Point through the acquisition of Lakera, where he worked across the AI safety and security portfolio. His work focuses on the trust, safety, and security of agentic AI systems. He holds an M.S. in Computer Science from Johns Hopkins and played professional baseball in the St. Louis Cardinals organization.

Senior SDE at AWS, where I specialize in building scalable cloud services and ML orchestration systems. Passionate about designing enterprise-scale production AI systems and distributed architectures.

Michael Howard is Chief Executive Officer of Protegrity, bringing decades of leadership experience in enterprise software, database management, cloud computing, data security, machine learning, and Generative AI. He has held senior leadership roles at MariaDB, Oracle, Veritas, EMC, C9, RoadRunner Ventures Studio, and Bodo.ai, with a track record of scaling global technology businesses and driving innovation. At Protegrity, Michael focuses on helping organizations unlock the value of their data while maintaining strong security, advancing areas such as quantum resiliency, Generative AI, and future-ready data protection technologies. He studied computer science and Slavic languages and literature at the University of California, Berkeley, and resides in the San Francisco Bay Area.

For more than 15 years, Mike Lennon has been closely monitoring the threat landscape and analyzing trends in the National Security and enterprise cybersecurity space. In his role at SecurityWeek, he oversees the editorial direction of the publication and is founder and director of several leading cybersecurity industry conferences around the world.

Millie Huang is a Principal Data Scientist at Salesforce, where she leads application-layer security defenses for enterprise GenAI and agentic AI systems. Millie has over a decade of experience applying machine learning, analytics, and security operations to high-scale production systems. She works cross-functionally with security, product, engineering, and AI research teams to translate emerging AI risks into practical platform controls, detection strategies, and response mechanisms. Her current work focuses on moving GenAI security beyond point-in-time reviews toward continuous monitoring, context-aware detection, and operationalized defense for autonomous enterprise agents.

Mudita Khurana is a Tech Lead at Airbnb, where she builds scalable security tooling and automation across the software development lifecycle. Previously at Meta, she drove key initiatives in product security, including bug bounty strategy, privacy-focused reviews, and automated vulnerability detection through static and hybrid analysis. Her work focuses on advancing security automation through robust workflows, agentic systems, and scalable system design. Mudita also serves on program committees for several top-tier security conferences and regularly contributes to the community through research, talks, and industry collaborations.

Nishant Gupta is a Staff Software Engineer and Researcher at Meta, specializing in large-scale distributed systems and AI infrastructure. At Meta Superintelligence Labs, his work focuses on building reliable and secure agentic systems that operate across APIs, services, and cloud environments, with an emphasis on evaluation, guardrails, observability, and alignment with real-world outcomes. He has also led elastic compute infrastructure managing approximately 30% of Meta’s capacity, delivering significant efficiency gains. His research spans safe resource oversubscription and production AI infrastructure and has received more than 90 citations.

Patrick Dillon has spent 20+ years partnering with security executives to solve high-stakes challenges: reducing attack surface, protecting sensitive data, and enabling security teams with solutions that manage risk at scale. Prior to Nudge Security, Patrick served as CRO at Airlock Digital and before that held senior leadership roles at Saviynt, BeyondTrust, and Hewlett Packard Enterprise, advising organizations on solutions that strengthen identity and access controls and protect critical systems. At Nudge Security, Patrick continues that work by helping security leaders gain control of shadow AI and SaaS sprawl, improve governance, and build defensible, measurable security outcomes.

Raj Singh is the Chief Information Security Officer (CISO) for North America at Sagility Health, leading cybersecurity, AI security, data privacy, and compliance across highly regulated healthcare environments. With 18+ years of experience across healthcare, technology, and government, he has modernized AI‑driven security operations, achieved sustained HIPAA and HITRUST compliance, and significantly reduced cyber risk. Raj is a CISSP and CISM and a trusted advisor on AI governance and cyber resilience.

Rakia Finley is a technology executive, AI governance strategist, entrepreneur, and founder of Copper & Vine Studio. With more than 20 years of experience leading digital transformation, cybersecurity, cloud architecture, and AI initiatives, she has advised organizations ranging from startups to Fortune 500 companies and public sector institutions. Rakia specializes in helping leaders build secure, scalable, and human-centered technology systems that balance innovation, risk, and business value. A frequent international speaker, she shares practical insights on AI governance, cybersecurity, cloud-native architecture, digital trust, and responsible technology adoption, helping organizations navigate the future of AI with confidence and resilience.

Ryan is a seasoned cybersecurity leader with over a decade of experience spanning the entire security lifecycle—from the front lines as a SOC Analyst to strategic leadership as a CISO. A dedicated educator, he has spent the last eight years shaping the next generation of defenders as a cybersecurity instructor at the community college level. Currently, Ryan specializes in high-impact initiatives, including cyber defense assessments, threat hunting program development, and cloud security posture (CSPM). His unique perspective blends technical rigor with a consultant’s eye for program maturity, making him a sought-after voice on building resilient security cultures.

Sabah Rahman is a Design Leader at Amazon and an independent AI explainability researcher. She built 4 novel deterministic methods for explaining black-box AI decisions - solving the non-reproducibility problem in KernelSHAP and LIME without requiring model access, gradients, or stochastic sampling. Her work addresses compliance gaps under the EU AI Act Article 13 and the Colorado AI Act. At Amazon, she designs enterprise products and ships production React code across device fleet management, beta testing platforms, and AI-powered automation. Previously she built the UX function from scratch at ForAllSecure, a cybersecurity company serving the Department of Defense, and conducted ML research at Feedzai, a fraud detection platform for global financial institutions.

Sanjeev brings over 30 years of expertise in DevOps, Platform Engineering, and Cloud Architecture. He is a former IBM Distinguished Engineer and the company’s first Field CTO for DevOps. Sanjeev served as Senior Vice President of Engineering and Developer Platforms at Dell Technologies and SVP of Developer Platform at Truist. Sanjeev is a noted author, having written the 1st edition of ‘DevOps For Dummies’ and the bestseller ‘The DevOps Adoption Playbook.’ He blogs on at http://sdarchitect.blog.

Shruti Anand is a veteran platform product leader and investor with over 11 years of experience specializing in highly scalable enterprise architectures, data engineering frameworks, and the deployment of production-grade AI. Her career tracks through managing major enterprise data portfolios at Snowflake—where she scaled core platform capabilities to multi-million dollar ARR—to leading advanced AI-assisted development tools natively at Google. Additionally, she evaluates deep-tech and enterprise software deal flows as a part-time VC at Mighty Capital. Shruti focuses on bridging the gap between heavy enterprise infrastructure data strategy and real-world, responsible AI automation.

Soups Ranjan is the CEO and Co-Founder of Sardine, the leading agentic risk platform to fight financial crime. Before founding Sardine, he was Head of Financial Crime at Revolut, where he built the fraud and compliance stack from scratch, and Head of Risk at Coinbase, where he built ML-based fraud and identity systems as the platform scaled 1000x. With 20+ years applying machine learning to fraud, Soups built Sardine as an end-to-end platform that brings fraud and AML data into one place. Today, Sardine serves over 450 global enterprises and financial institutions, backed by Andreessen Horowitz, Visa, Experian, Google, and others. Soups holds a PhD in Electrical and Computer Engineering from Rice University.

Sourabh Kulkarni, PhD is a Research Scientist at Meta, where he leads safety research and evaluation for generative media foundation models -- image, video, and audio -- ensuring responsible deployment to billions of users worldwide. His current work spans adversarial red-teaming, multilingual safety evaluation pipelines, and policy-aligned harm mitigation for pre-launch generative systems. Previously, Sourabh was a core contributor and ML tech lead for Meta's "Why am I seeing this ad?" transparency product, the first-of-its-kind algorithmic explainability system serving ~3.5 billion users daily, and architected agentic content-generation systems behind Meta Vibes.

Stephen is the Lead Threat Intelligence Researcher at LRQA with 20 years of experience in infrastructure, threat detection, threat intelligence, and organisational security across the public and private sectors. In his role at LRQA he leads on the creation and delivery of strategic, tactical, and operational intelligence insights which enable decision makers and defenders to take proactive defensive measures. Stephen’s expertise enables the delivery of security services to SMEs, Fortune 500s, and government departments around the world. These organizations benefit from Stephen’s knowledge of adversary tradecraft, defender capability, and the underlying informational and organisational environments where cyber conflict takes place.

Suraj is a senior cyber and strategic risk consultant with more than six years of experience in cyber risk consulting and management at PwC and Deloitte. He focuses on making third-party risk programs auditable and decision-ready by designing tier-based assurance workflows, evidence frameworks, and continuous monitoring strategies for clients across financial services, healthcare, and technology.

Ms Roamartinez is a seasoned IT and cybersecurity professional with over 15 years of experience in cybersecurity, AI security engineering, IT strategy, and business development, specializing in risk management, compliance, and enterprise security solutions. With a strong background in regulatory frameworks such as NIST 800-53, ISO 27001, GDPR, and HIPAA, Tahjar has successfully led global security teams, spearheaded AI-driven security initiatives, and managed multimillion-dollar IT operations. As an AI Engineer with a background in risk management and compliance, she leverages deep expertise in governance, risk, and compliance (GRC) and cybersecurity principles to design, deploy, and maintain secure and compliant AI infrastructures and systems. As Business Developer and Program Manager of Cyber Warfighters Group, Inc., she drove revenue growth by 40% and led large-scale cybersecurity initiatives for Fortune 1000 companies. Tahjar’s expertise spans cybersecurity, digital transformation, identity and access management (IAM), and IT governance, ensuring organizations remain resilient against evolving threats. Previously, she held leadership roles in both the private and public sectors, including serving as Chief Information Security Officer (CISO) equivalent in the U.S. Army, where she managed a $2B cybersecurity operation. Tahjar’s strategic leadership extends to IT healthcare consulting, retail, life science, manufacturing, business continuity planning, security, and risk assessments. In her military career, she managed cybersecurity for global U.S. Department of Defense facilities, including security protocols for networks, servers, computers, and logical designs. She has spearheaded innovative global digital transformation, security, and procurement initiatives for Fortune 500 highly-regulated global enterprises, specializing in AI utilization and IoT security, emphasizing proactive compliance, governance, and procurement oversight. She has successfully managed teams of up to 200 employees and contractors, fostering collaboration among diverse cross-functional teams. Tahjar has led e-commerce platform rollouts in the United States, Germany, China, France, India, Brazil, Cambodia, Japan, Argentina, Turkey, and Switzerland, focusing on strategic market expansion and B2B collaboration. Tahjar holds IT and cybersecurity certifications as a Certified Ethical Hacker, IT Service Manager, Network, and cybersecurity practitioner. She has an MBA and a BS in Computer Information Systems from Texas A&M University.

Tricia Diamond is a portfolio and program management executive, aerospace engineer, and organizational strategist with more than two decades of leadership across the public sector, technology, and consulting in the United States and the Netherlands. She holds degrees in aerospace engineering, English and educational administration alongside advanced credentials including the PMP®, PMI-ACP®, PMO-CP®, GPM-b®, CAL®, ITIL®, AWS-CCP, AWS-AIP, MCASE. She served as VP of Professional Development for PMI Puget Sound, and is a Seattle Parks and Recreation Commissioner. She is the founder of Diamond PMO Solutions, an MWBE owned management consultancy specializing in portfolio governance, PMO design, and organizational strategy as well as PMI certification trainings.

Venky Rangachari is a senior technology executive with deep experience in Networking, AI & Cyber Security. Venky also has leadership experience with large and high growth companies including Thomson Reuters, Wyndham Hotels, Anaplan and Exodus Communications. Venky Rangachari joined HPE just over 6 years ago. Venky started as our VP of Enterprise Architecture pioneering the strategy for modernizing IT systems including major transformations such as Edge to Cloud, then headed up the IAM transformation for customers, partners and workforce. Venky currently serves as a CIO of HPE Networking business unit which combines two leading Networking product lines Aruba Networks and Juniper Networks. In this role, he is working with the EVP, GM of the HPE Networking business along with his leadership team to build the best networking company on the planet. One of the critical success metrics is building the IT foundation for the combined Networking business from a Go To Market perspective. Some of the critical areas of transformation are the Lead to Cash portfolio including Supply/Chain systems. Venky is part of several CIO groups like Inspire CIO, HMG and was finalist for “Bay Area CIO of the Year for 2024 & 2025”. He also serves in advisory roles at technology start-ups fostering Outside of work, Venky enjoys spending time with his family and loves cooking, wine tasting and golfing.

At Fleak, we’re on a mission to make data infrastructure so smart it practically runs itself. Imagine data that auto-standardizes, reduces engineering effort by up to 90%, and never calls in sick. That’s us—building adaptive intelligence to help businesses unlock next-decade opportunities in days, not months. Before Fleak, I spent eight years in VC, wrangling 400TB of startup data to spot the next big thing (and occasionally questioning my life choices during 3 a.m. debugging sessions). Now, I’m focused on making data work harder so humans don’t have to. If you’re drowning in messy data or just curious how we’re getting data to do its own chores, let’s connect. I promise not to pitch you… unless you ask nicely.