CERIAS -- the Nation's top-ranked interdisciplinary academic education and research institute -- hosts a weekly cyber security, privacy, resiliency or autonomy speaker, highlighting technical discovery, a case studies or exploring cyber operational approaches; they are not product demonstrations, service sales pitches, or company recruitment presentations. Join us weekly...or explore 25 years of archives for the who's-who in cybersecurity.

CERIAS Weekly Security Seminar - Purdue University
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CERIAS -- the Nation's top-ranked interdisciplinary academic education and research institute -- hosts a weekly cyber security, privacy, resiliency or autonomy speaker, highlighting technical discovery, a case studies or exploring cyber operational approaches; they are not product demonstrations, service sales pitches, or company recruitment presentations. Join us weekly...or explore 25 years of archives for the who's-who in cybersecurity.
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Publishing Since
8/27/1999
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Recent Episodes

April 29, 2026
Pragathi Jha, Modeling Cyber Adversaries: A Critical Survey of Methods and Assumptions
Cybersecurity practitioners face a persistent methodological problem: how should we reason about intelligent adversaries who observe our defenses, adapt their tactics, and choose targets based on our vulnerabilities? The field has responded with a fragmented toolkit. Quantitative risk assessment borrowed from safety engineering treats threat, vulnerability, and consequence as independent terms. Threat modeling frameworks such as STRIDE and attack trees emphasize structure but rarely quantify uncertainty. Game-theoretic models assume rationality and common knowledge that real attackers do not exhibit. Qualitative heat maps compress uncertainty into colored cells that cannot support budget optimization.This talk surveys these approaches critically, examining what each method commits you to and what it quietly sets aside. A common thread emerges: the alternatives can be understood as approximations to a Bayesian decision-theoretic ideal, each relaxing one or more assumptions for tractability. Modeling an adversary requires addressing four dimensions of uncertainty (what they want, what they know, what they can do, and how they decide) and the standard critiques of probabilistic cyber risk analysis (information asymmetry, correlated inputs, adaptation, the absence of objective base rates) turn out to be errors of naive practice rather than indictments of the methodology itself. Threat intelligence feeds, indicator matches, and shifts in attacker tradecraft fit naturally as Bayesian updates rather than as awkward inputs to frequentist frameworks. The survey closes not with a prescription but with a diagnostic question for practitioners and researchers alike: are the assumptions embedded in your chosen method appropriate for the decision you are trying to support? About the speaker: Pragathi Jha is a doctoral researcher in Industrial Engineering at Purdue University, where her work focuses on optimization, stochastic modeling, and game-theoretic approaches to decision-making under uncertainty. Her research lies at the intersection of operations research, applied probability, and strategic interaction, with an emphasis on developing rigorous mathematical frameworks for complex, adversarial systems.Her academic interests include multi-stage stochastic optimization, game theory, and the modeling of strategic behavior in dynamic environments. In the context of cybersecurity, she is particularly interested in adversarial decision-making, risk-aware resource allocation, and the design of resilient systems that account for uncertainty and strategic threats. Her work aims to bridge theoretical advances in optimization and game theory with practical applications in security, infrastructure protection, and data-driven decision support.Pragathi brings a strong foundation in quantitative methods and is committed to advancing research that is both mathematically rigorous and operationally impactful. Through her work, she seeks to contribute to the development of robust, scalable frameworks for analyzing and mitigating risks in complex, high-stakes environments.

April 22, 2026
Smriti Bhatt, Evolving Security Landscape in the Agentic AI-Enabled IoT Era
The rapid evolution of connected devices and technologies has transformed the Internet of Things (IoT) into increasingly intelligent and autonomous systems. This talk focuses on the progression from traditional IoT to the Artificial Intelligence of Things (AIoT), and further toward Agent-Based IoT (AB-IoT), also referred to as Agentic AI-enabled IoT. As intelligent agents become embedded within IoT ecosystems, they introduce new capabilities for autonomy and decision-making, but also significantly reshape the security landscape. In this talk, I first outline the technological evolution from IoT to AIoT and Agentic AI-enabled IoT systems. I then discuss how the adoption of agentic intelligence in IoT environments introduces emerging security risks and threats with particular emphasis on challenges related to authentication, access control, and trust management in highly distributed and autonomous environments. I also present potential approaches to address these challenges, including zero-trust security frameworks and context-aware machine learning–based access control mechanisms. Finally, this talk highlights current research challenges and open problems in securing Agentic AI-enabled IoT systems, outlining future directions for building resilient, trustworthy, and secure next-generation Agentic AI-enabled IoT infrastructures. About the speaker: Dr. Smriti Bhatt is an Assistant Professor of Cybersecurity in the School of Applied and Creative Computing at Purdue University. She has received her Ph.D. and M.S. in Computer Science from the University of Texas at San Antonio and did her doctoral research at the Institute for Cyber Security (ICS) and NSF CREST Center for Security and Privacy Enhanced Cloud Computing (C-SPECC). Dr. Bhatt's research focuses on security and privacy in the Internet of Things (IoT) and Cyber-Physical Systems (CPS) leveraging Cloud and Edge Computing. Her research interests also include the application of AI and Machine Learning to secure IoT and CPS infrastructures in various application domains, such as Smart Health, Smart Home, and Wearable IoT. Some of her current research work includes access control models, secure data communication, and anomaly detection for different domains in Cloud-Enabled IoT. She has several conference and journal publications, and also continually serves as an expert reviewer for various journals and technical program committees for several conferences and workshops.

April 15, 2026
Gary Hayslip, The AI Arms Race
Ransomware has evolved from basic digital extortion into a sophisticated, AI-powered threat that's faster,smarter, and more devastating than ever before. In this session, we'll explore how threat actors are weaponizing artificial intelligence to supercharge their operations—from automated reconnaissance and hyper-realistic phishing to malware that adapts in real-time to evade detection. We'll also examine how AI-driven ransomware exploits supply chain vulnerabilities to create cascading disruptions across entire industries.More importantly, we'll discuss practical strategies for fighting back: leveraging AI-powered behavior alanalytics and autonomous response tools, implementing zero-trust architecture,and building true organizational resilience through tested backup and recovery procedures. Whether you're in security operations, incident response, or infrastructure protection, this session will equip you with actionable insights to shift from a prevention-only mindset to one focused on preparedness and rapid recovery in today's evolving threat landscape. About the speaker: Gary Hayslip is an experienced Global Security Executive with a proven track record of delivering innovative security programs that protect billion-dollar enterprises at every touchpoint. He is intensely focused on driving continuous improvement to maximize the efficiency of security programs while minimizing costs. As an insightful thought leader, he possesses strong business acumen and a commitment to organizational mission, values, and goals. He has demonstrated the ability to collaborate with all levels of an organization to champion new ideas, gain buy-in, and build consensus. Hayslip brings extensive experience in information technology, security leadership, physical security, and risk management to his role as the Senior Security Advisor | CISO in Residence for Halcyon.ai. His previous executive positions include multiple roles as Chief Information Security Officer, Chief Information Officer, Deputy Director of IT, and Chief Privacy Officer for the U.S. Navy (Active Duty), the U.S. Navy (Federal Government employee), the City of San Diego, California, Webroot Software, and SoftBank Investments (Vision Fund & Vision Fund II).Hayslip is a proven cybersecurity expert with excellent communication and public speaking skills. He is skilled at explaining complex security and risk concepts to audiences with different levels of knowledge. Hayslip has earned a reputation as a highly effective communicator, author, and keynote speaker. He co-authored the "CISO Desk Reference Guide: A Practical Guide for CISOs – Volumes 1 & 2," "The Executive Primer: An Executive's Guide to Security Programs," "Developing Your Cybersecurity Career Path," and the "The Essential Guide to Cybersecurity for SMBs." He recently coauthored andpublished "Mastering Third Party Risk," a guide aimed specifically for security practitioners to help them manage the risk exposure to organizations from vendors and supply chains. These books are among the top resources for helping CISOs improve their leadership and business skills. Hayslip currently serves as an independent director on several boards and advises various other security and technology firms. He is an active member of the cybersecurity community and belongs to professional organizations such asISC2, NACD, ISACA, and Infragard. Hayslip holds several professional certifications, including CISSP, CISA, and CRISC, and has earned a BS in Information Systems Management from the University of Maryland,University College, and an MBA from San Diego State University.
645 total episodes available
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