InfoSec World 2025 brings together cybersecurity professionals from across freight, warehousing, shipping, and last-mile delivery to address the unique challenges facing logistics.
Whether you’re managing IoT-connected fleets or safeguarding real-time inventory data, our program is built to support cyber resilience in fast-moving environments.
As organizations expand their reliance on third-party providers, insider threats—whether driven by malice or mistake—become increasingly difficult to detect and control. This session, presented in collaboration with the CERT Division’s Insider Threat Center and Risk Management team, explores the critical intersection of insider risk and supply chain security. Using real-world examples, the session will highlight the challenges of monitoring and mitigating threats from both internal actors and Trusted External Entities (TEEs).
In this session you will:
As uncrewed aerial systems (UAS) become integral to critical industries, robust cybersecurity measures are essential. This session addresses the challenges of UAS security, autonomy in next-gen drones, and the collaborative efforts of public-private partnerships. Industry initiatives to standardize Advanced Air Mobility (AAM) promise to revolutionize transportation with drone taxis, cargo drones, and smart aerial networks. However, securing these systems against cyber threats is crucial.
In this session you will:
Traditional third-party risk management (TPRM) relies heavily on lengthy security questionnaires—but are they truly improving security, or simply generating administrative burden for both vendors and security teams? As vendor ecosystems scale into the thousands, the conventional model of static assessments is proving outdated and ineffective. In this session, Chuck Kesler, CISO at Pendo, draws on his unique experience as both customer and vendor to share how his approach to TPRM has evolved—especially with the adoption of AI-driven tools that streamline processes and improve outcomes.
In this session you will:
Large language models (LLMs) like ChatGPT are transforming the landscape of software development and evaluation, though claims of AI replacing programmers are often overstated. This session delves into the core technologies of LLMs and their role in software generation and assessment, emphasizing the influence of training data that includes insecure coding practices. We share insights from analyzing over 100 million lines of code in languages such as C, C++, and Java using tools like ChatGPT 3.4, ChatGPT 4, and CoPilot. Participants will gain a comprehensive understanding of the advantages and potential pitfalls of LLMs, strategies for mitigating associated risks, and foresight into the future of secure AI-driven software development.
In this session you will: