The Biggest Mistakes Companies Make with AI Governance

#AIGovernance #ArtificialIntelligence #ShadowAI #Cybersecurity #SPKAssociates Chapters: 0:00 Introduction 1:48 Biggest Mistakes We Have Seen 4:46 Risk of Shadow AI 7:22 Best Practices for Preventing AI Risk 9:24 Conclusion Artificial intelligence is transforming how organizations develop products, write software, and make decisions. But as companies race to adopt tools like ChatGPT, Microsoft Copilot, and Claude, many are overlooking the governance needed to use AI securely and responsibly. In this SPK & Associates vlog, Michael Roberts sits down with Mike Solinap, Head of Cloud & Infrastructure at SPK, to discuss the security, privacy, and cost risks organizations should consider when adopting AI. Learn how companies can protect proprietary data, manage access, reduce shadow AI risks, and create practical guardrails without slowing innovation. In this video, you'll learn: What organizations should review before using public LLMs How AI privacy policies and subscription tiers may affect your data Why employees should avoid sharing proprietary code, documents, and sensitive information with AI tools The risks of shadow AI and connecting unauthorized tools to company systems How least-privilege access can reduce security risks when deploying AI agents Why identity management, access approvals, and human oversight are critical for AI governance How private LLM environments can improve security, privacy, cost control, and compliance Why centralized governance can help organizations monitor token usage and avoid unexpected AI costs Whether you're leading software development, product engineering, cloud infrastructure, cybersecurity, or digital transformation initiatives, this discussion provides practical guidance for balancing AI innovation with security, governance, and operational control. ABOUT SPK AND ASSOCIATES SPK and Associates (https://www.spkaa.com/) is a leading woman-owned Engineering & IT Services Company that serves product and software development teams. For 20 years, we have helped our customers harness technology to optimize engineering and attain their business goals. We understand the systems, processes, data, and applications critical to successful product development and dedicate ourselves to helping you build, test, and release your products faster and better. Our core expertise covers four functional areas: – Product Lifecycle Management (PLM, PDM, QMS, MCAD, ECAD) - https://bit.ly/3nr3D6F – Software Lifecycle Management (ALM, DevOps) - https://bit.ly/3JSK3HQ – Cloud for Engineering (Infrastructure, Security) - https://bit.ly/3nrVD54 – Data Engineering and Analytics - https://bit.ly/3KcmMlx Subscribe to our blog: https://bit.ly/40HuMk7