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#AIGovernance #ArtificialIntelligence #AIGovernance As organizations rush to adopt AI tools like Microsoft Copilot, Atlassian Rovo, and GitLab Duo, many teams focus on productivity gains—but overlook the governance, security, and data risks that come with them. In this SPK and Associates vlog, Michael Roberts, VP of Sales and Marketing, sits down with Mike Solinap, District Manager and Head of Cloud and Infrastructure, to explain how forward-thinking companies are creating AI Governance Boards to evaluate, approve, and safely deploy AI tools across engineering, IT, and enterprise collaboration platforms. AI capabilities are rapidly becoming embedded in development environments, knowledge bases, ticketing systems, and collaboration tools. Without proper governance, organizations risk data oversharing, intellectual property leakage, model poisoning, and regulatory exposure. Mike shares practical guidance on how companies can evaluate these risks while still enabling innovation and productivity. In this discussion, you'll learn: The most common security and data-governance risks organizations overlook when adopting AI tools How AI systems can unintentionally surface sensitive data through aggregated access What approval criteria an AI Governance Board should use before approving tools like Copilot, Rovo, or GitLab Duo How to protect against IP leakage, compliance issues, and model poisoning How AI assistants should integrate into DevSecOps, ALM, and engineering workflows without introducing risk or noise The role governance plays in ensuring AI tools improve delivery and productivity rather than disrupt it How clients are using SPK’s AI Launchpad services to support positive AI outcomes For engineering organizations adopting AI within platforms like Jira, GitLab, and Microsoft ecosystems, establishing the right governance model is critical to balancing innovation, security, and compliance. 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