For more than a decade, the industry has repeated the phrase, "Quantum is five years away." Yet during that same period, quantum computing capabilities have advanced steadily, investment has surged into the billions, and governments and private industry have accelerated development efforts. So what is the real timeline, and more importantly, what should enterprises be doing today? This opening session examines the current state of quantum computing, separating hype from reality.
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The US government has prioritized the discovery of cryptography with the plan to replace these systems with post quantum PKI improvements. This is followed by identity management systems. Using the updated guidelines in FIPS 203, 204 and 205. This session provides a practical review of the finalized NIST Post-Quantum Cryptography standards, including FIPS 203, 204, and 205, and examines the federal mandates and timelines that are driving adoption across government agencies and critical industries.
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Risk is often subjective based on personal attitudes rather than known facts. However, there are some objective measurements that can be made which should be used to realistically evaluate risk. Mosca's Theorem provides one of the most practical frameworks for understanding quantum risk. Simply stated: if the time required to migrate your organization to quantum-safe security exceeds the time remaining before quantum computers can compromise your encryption, then you are already behind schedule. Learn how to estimate their organization's quantum risk runway and determine whether immediate action is required to protect long-lived data assets.
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The more things change, the more regulations add to responsibilities, At least that’s the way it feels for many of the service providers. We have a number of changes planned and proposed that need to be considered as we plan for the future. The disappearance of E-Rate, the Shaken – Stir implementation, the possibility of 1+14, etc. All of the these changes being applied to IoT impact business models, processing and costs. This session looks at the long term, the near term and immediate impact to the industry. What you will learn: - What is the intention of the regulation changes. - How it impacts business models. - Which groups are lobbying the FCC and other rule makers.
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Hearing is Believing! When compressors are starting to fail, their sound starts to differ from the normal hum. Enabling a sampling of the sound to be stored in a VCon is a starting point for language sets, baseline analysis, and anomaly detection. The panel will examine how VCons can be used to summarize the behavior and present the audible data in a visual way. Attendees will learn: ??How to architect an audible sensor solution to integrate VCons and AI to enable better remote monitoring? ??How does processing the data at the edge reduce the bandwidth requirements to transmit VCons for triggering alarms and agentic actions? ??How to develop dashboards that support oversight and historical logging for better documentation?
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A meet and greet opportunity to talk with fellow participants and have a lively discussion with some authors about their just released books.
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AI-driven cybersecurity is becoming essential as AIoT systems expand, creating a massive, dynamic attack surface that traditional tools can no longer protect alone. This session examines how AI techniques such as anomaly detection, behavioral analytics, and intelligent automation can harden AIoT environments, spotting and stopping threats across devices, networks, and cloud services in real time. Attendees will explore practical patterns for embedding AI into security operations so that defenses continuously learn from new data and adapt to evolving attacks. What You’ll Learn How AI-powered anomaly detection, IDS/IPS, and behavior analytics can detect zero-day attacks and lateral movement across AIoT devices before damage occurs. Design and operations strategies for integrating AI-driven security into existing IoT platforms, including automated response, zero-trust enforcement, and continuous risk monitoring.
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