UC Today

In this episode of UC Today, host Kristian McCann is joined by Devashri Datta, a Senior Security Architect at NVIDIA, but appearing in a personal capacity as a researcher, to explore why organizations need to rethink how they govern AI-powered tools.  

Devashri explains why Software Bills of Materials (SBOMs) must evolve to account for AI models, training data, agent behavior, and new attack methods such as prompt injection and data poisoning. 

From Microsoft Copilot and Slack integrations to autonomous AI agents capable of accessing sensitive business systems, this conversation explores the hidden risks enterprises face as AI adoption accelerates. Watch to understand why AI governance needs to move at machine speed and why treating AI like “just another tool” could leave organizations exposed. 

Key topics discussed include: 
🔵 Why traditional SBOMs struggle to capture AI-specific risks, including model weights, training data, RAG pipelines, and AI behavior.  
🔵 How AI agents introduce new security challenges through prompt injection, data poisoning, excessive permissions, and access creep.  
🔵 Why organizations need new governance approaches, including AI-focused vulnerability tracking, threat modeling, and machine-speed security controls.  
🔵 How businesses can build stronger AI security strategies while keeping humans involved in critical decisions.  

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In this episode of UC Today, host Kristian McCann sits down with Eric Wiggins, Product Marketing Director at Smarsh, to explore why AI capture is becoming the foundation of both compliance and business intelligence in financial services.
As generative AI becomes embedded across everything from client communications and portfolio analysis to employee productivity, many firms still lack visibility into how these tools are being used.
Throughout the discussion, Wiggins outlines why firms need a unified capture layer that records AI prompts, outputs, metadata, and related communications across platforms such as ChatGPT Enterprise, Microsoft Copilot, and Claude Enterprise.
Key discussion points:
Why the biggest AI governance gap is the lack of captured evidence—not a lack of AI policies.
The record-keeping, supervisory, privacy, and discovery risks firms face when AI interactions are not captured.
Why policy and employee training must be supported by comprehensive AI capture to deliver effective governance.
How Smarsh creates a unified governance layer across AI platforms and communication channels.
How captured AI interactions become a valuable source of business intelligence, helping firms identify adoption trends, workflow improvements, and new opportunities.
Why organizations that build AI governance early will be able to innovate faster while maintaining regulatory trust and gaining a competitive advantage.

For years, voice was the blind spot in communications compliance – too voluminous to review manually, too complex to capture properly, and not yet on regulators' enforcement radar. That has changed.
In this episode of UC Today, Christopher Carey sits down with Daniel Yates, Voice SME at Global Relay, to discuss why the regulatory posture on voice has shifted, what misconceptions firms still carry, and how advances in AI and large language models are making voice surveillance viable at scale. From non-financial misconduct to real-time intervention, this is a conversation every compliance and UC leader in a regulated industry needs to hear.

In this episode of UC Today, host Kristian McCann is joined by Chris Harris, EMEA Technical Director for Data and Application Security at Thales to discuss why enterprises need to begin preparing for the quantum era now. 

The discussion goes beyond the hype surrounding quantum computing to explain the very real challenges.If you're responsible for cybersecurity, IT infrastructure, compliance, risk management, digital transformation, or technology strategy, this conversation offers practical guidance on where to start, and why waiting could prove far more expensive than preparing.

Key discussion points include:
🔵 Why "steal now, decrypt later" attacks mean sensitive data is already at risk—even before practical quantum computers exist.
🔵 Which industries, systems, and types of information should be prioritized for post-quantum protection.
🔵 How organizations can discover where cryptography exists across their infrastructure and build a realistic migration strategy.
🔵 Why crypto agility, vendor collaboration, and phased modernization will define successful quantum security programs.

Visit UC Today for the latest news, analysis, and interviews covering the future of enterprise IT and communications.

Kristian McCann sits down with Chris Scimone, Director, Solutions Architecture & Engineering at New Era Technology, to answer one of the biggest questions facing organizations investing in AI for customer experience: where should you start?
Many contact centers understand the potential of AI, but identifying the right first use case can be challenging. Should organizations focus on customer-facing automation? Agent assistance? Self-service? And how do they ensure early deployments can be expanded upon as the operation scales?
Chris shares practical guidance drawn from real-world deployments, explaining why successful AI initiatives often begin by supporting agents behind the scenes before expanding into broader automation.
Key discussion points:
• How organizations can identify the best first use cases for contact center AI
• Why AI assistants are often the ideal starting point for adoption
• The metrics that matter most when measuring AI success and customer impact
• How to scale AI deployments while maintaining visibility, performance, and governance
Next steps:
Visit New Era Technology to identify the biggest friction points affecting customers and agents