Lenovo Work Reborn Podcast

AI risk does not start only when a tool goes live; it starts in contracts, data terms, development practices, and employee access.  Kaivalya Gorla explains why GRC teams need AI policies, vendor safeguards, training, bias testing, and misuse controls to govern AI responsibly. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-cente...

AI governance only works when employees understand which tools are approved and why the guardrails exist.  Shemaine Mensah explains how risk assessments, tool vetting, collaboration, and hands-on training can help organizations make responsible AI use practical. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach t...

AI can make work faster, but speed does not equal value.  Nicholas Morpus explains why organizations should secure the fundamentals first, measure AI output by quality, and avoid chasing AI-powered tools before they have the governance and expertise to use them well. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered appro...

AI in education creates a difficult balance: students need to learn the tools shaping the job market, but institutions still need privacy, compliance, and academic integrity.  Pamela Nicolary explains why higher education needs guardrails that protect the school while allowing responsible innovation. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strateg...

AI is shrinking development timelines from months to weeks, but security cannot be left to catch up after the build.  Matt Tower explains why organizations need guardrails inside AI-assisted workflows so developers can move quickly without creating unmanaged risk. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-centered approach...

Agentic AI can accelerate DevOps, but it also raises the stakes for data protection and recovery.  Blaze Nowikowski explains why teams need tested backups, sandbox environments, disaster recovery planning, and resilience built in before AI touches critical code and metadata. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more human-center...

AI is changing vulnerability management by helping attackers discover and exploit weaknesses faster than many teams can remediate them.  Jacob Bushnell explains why exposure management, visibility, segmentation, and asset prioritization are now essential for protecting distributed environments. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and...

AI can be transformative, but only when it is matched to the right use case.  Cory Missimore explains how AI can help teams analyze data, triage security noise, and improve routine workflows while reminding leaders that value comes from the right model, not a one-size-fits-all approach. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and a more...

AI transformation becomes real when every employee has the training, confidence, and time to use it responsibly.  David shares how company-wide AI literacy, Copilot training, prompt education, agent-building courses, peer showcases, and human-in-the-loop guardrails are helping employees move from fear to practical adoption. The takeaway: AI training cannot be one-size-fits-all; it has to meet peop...

AI is already in employees' hands, whether leadership is ready or not. Darren explains why organizations need to meet employees where they are and enable AI adoption through alignment and collaboration. In this conversation, Darren shares why AI success depends on cross-functional collaboration, executive sponsorship, and treating enablement as a partnership across the business. 🎧 Explore ho...

AI can speed up security workflows and reduce noise, but Sam Friedman cautions leaders not to force AI into every business problem.  Sam explains how AI supports CTEM, false-positive reduction, and operational speed, while reminding leaders to avoid forcing AI into workflows where it does not create real business value. The takeaway: AI is a tool, not the whole strategy, and the smartest organizat...

The AI race is not just happening inside companies; it is unfolding across industries, government, and global competition.  David shares why organizations need the right infrastructure, training, data governance, cybersecurity expertise, and technology partners to keep pace with how quickly AI is advancing. The takeaway: AI readiness is not only a technology challenge; it is a people, skills, and...

AI innovation works best when security is involved at the beginning, not after risks have already been introduced.  Matthew Mudry shares how CISOs can balance access control, data loss prevention, third-party AI tools, cost-benefit discipline, and human oversight while still helping the business move forward. The takeaway: security should not be the blocker in AI adoption; it should be the partner...

In industrial environments, unmanaged AI is not just a productivity risk; it can become an operational and safety concern.  Rich Dedmon explains why Shadow AI can persist even with a dedicated AI team, especially when employees experiment with AI-generated code in complex environments they may not fully understand. The takeaway: leaders need guardrails that protect the business without killing inn...

Shadow AI is no longer limited to obvious tools like ChatGPT or Claude; it can appear inside platforms companies already approved.  Jennifer Swann explains how CISOs are responding with governance, training, DLP, vendor reassessments, and human review as AI capabilities spread across everyday applications. The takeaway: AI risk management has to become continuous because the workplace tech stack i...

Secure AI adoption starts before the first tool is scaled.  Chandan Kochhar explains why organizations need policies, SOPs, approved tools, data protection, role-based training, and the right partner support from the beginning so AI can move forward with clear outcomes and stronger guardrails. 🎧 Explore how leaders are shaping the future of work through smarter technology, stronger strategy, and...

AI can help cybersecurity teams contextualize massive amounts of data and move faster, but Kevin Greene says the value depends on having the right use cases and a trustworthy governance model.  He explains why organizations must understand AI-related threats, use policy to guide adoption, and keep humans in control as AI becomes part of daily cyber operations. The takeaway: secure AI adoption star...

AI pilots can move fast, but Karthik Balasubramanian argues that scale only works when governance is built in from the start.  He breaks down why leaders need visibility into agent identities, approved data access, token consumption, model behavior, and business ownership before moving from proof of concept to production. The takeaway: AI success is not just about making the technology work; it is...

AI is helping teams modernize code, speed up analysis, and rethink how work gets done, but Betty warns that adoption cannot come at the expense of critical thinking.  She explores the balance between leadership-led training, Shadow AI, standardization, and keeping a human in the loop as employees learn how to use AI without outsourcing their judgment. The takeaway: the winners of the AI race will...

AI adoption can create real value, but only when organizations understand the risks behind how employees are actually using it.  Chandan Nuckched explains why companies need business-specific AI models, stronger controls around sensitive data, and ongoing training that keeps employees from unintentionally exposing information through unmanaged tools. The takeaway: successful AI transformation star...

AI is no longer something IT leaders can afford to ignore. Jai Arun, Chief Product Officer at IBM Corporation, explains why AI should be embraced as a human assistant that improves productivity, accelerates development, and helps solve harder problems. He also shares why responsible adoption starts with the right use cases, clear guardrails, and experienced guidance when organizations are still le...

How do security leaders keep control when AI is accelerating attacks and hybrid work has pushed endpoints everywhere? Clark Lovrien, Deputy Chief Information Security Officer at Absolute Security, explains why endpoint resilience starts below the operating system, and why the next era of security is about restoring control, managing shadow AI risk, and recovering in hours or days, not weeks or mon...

AI adoption only works when security and innovation move together. Monica Grace, Senior Analyst Relations Manager at Microsoft, explains why organizations need end-to-end guardrails, employee education, and cautious experimentation to secure AI without stopping progress. Her takeaway: the future of work is not just more automation, it is using AI to free people’s time for the ideas and connections...

AI is moving faster than most organizations can comfortably govern.  Vikas Singh explains why enterprise AI success depends on balancing innovation with security, governance, and employee education while still moving quickly enough to keep up with the pace of change. From data risks and reputational concerns to AI-powered decision-making and operational agility, this conversation explores what res...

AI governance works best when risk teams join the build instead of reacting after deployment.  Scott Beasley explains how NFU Mutual created tailored governance frameworks, safer experimentation environments, and more practical controls by connecting IT, security, and risk teams earlier in the AI rollout process. 🎧 Explore how leaders are shaping the future of work through smarter technology, str...