Series context. This installment extends Part 1 on AI as evidence and Part 2 on governance, then follows Part 3 on chain of custody, to tackle a growing reality, AI features and tools slip into enterprise workflows before security, legal, or audit can...
How AI features and tools are entering enterprise workflows without security, legal, or audit oversight
This title was summarized by AI from the post below.
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New AI rules are on the horizon — and they’re not optional. From real-time oversight to risk management mandates, compliance will reshape how you build and deploy AI. We’re already helping clients prepare with AI governance frameworks that bake security and compliance into the stack. Start now, or scramble later 👉 https://lnkd.in/d3-NjN4F
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MoFo advised AuditBoard, the leading AI-powered global platform for connected risk transforming audit, risk, and compliance, in its acquisition of FairNow, an end-to-end, purpose-built AI Governance platform. Learn more. https://gag.gl/83DnDV
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Partner, Morrison Foerster | Private Equity M&A Attorney | Buyouts and Complex Equity Investments
MoFo advised AuditBoard, the leading AI-powered global platform for connected risk transforming audit, risk, and compliance, in its acquisition of FairNow, an end-to-end, purpose-built AI Governance platform. Learn more. https://gag.gl/83DnDV
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MoFo advised AuditBoard, the leading AI-powered global platform for connected risk transforming audit, risk, and compliance, in its acquisition of FairNow, an end-to-end, purpose-built AI Governance platform. Learn more. https://gag.gl/83DnDV
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MoFo advised AuditBoard, the leading AI-powered global platform for connected risk transforming audit, risk, and compliance, in its acquisition of FairNow, an end-to-end, purpose-built AI Governance platform. Learn more. https://gag.gl/83DnDV
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MoFo advised AuditBoard, the leading AI-powered global platform for connected risk transforming audit, risk, and compliance, in its acquisition of FairNow, an end-to-end, purpose-built AI Governance platform. Learn more. https://gag.gl/83DnDV
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MoFo advised AuditBoard, the leading AI-powered global platform for connected risk transforming audit, risk, and compliance, in its acquisition of FairNow, an end-to-end, purpose-built AI Governance platform. Learn more. https://gag.gl/83DnDV
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MoFo advised AuditBoard, the leading AI-powered global platform for connected risk transforming audit, risk, and compliance, in its acquisition of FairNow, an end-to-end, purpose-built AI Governance platform. Learn more. https://gag.gl/83DnDV
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Engineering Manager | Building High-Performing Teams to Secure Software and Build Resilient Systems
In financial services, we’ve honed third-party and model risk management (MRM) for decades, but the generative AI supply chain presents a novel, dynamic challenge. Foundational models, fine-tuning datasets, and specialized APIs are our new "vendors," each introducing potential vulnerabilities, data poisoning risks, and compliance blind spots. We must evolve our existing MRM and GRC frameworks to provide robust oversight for these complex AI components, treating them with the same rigor as any critical third-party service. How is your organization adapting its MRM framework for generative AI? What are the biggest gaps you've identified in your AI supply chain diligence? #SecureAI
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Hey Linked in Network! It has been a minute since I have posted due to some personal issues, but I am back at it. With the whole push for AI, and Agentic AI, I wanted to share some thoughts based on my own professional experience and thought i would share it with you all. With this big rush of AI and Agents, i thought i would share some thoughts on securing agentic AI with a practical audit lense in mind. Here is a short summary below. Securing Agentic AI: A Practical, Audit-Friendly Framework Autonomous AI agents are here - and they’re reshaping enterprise systems. They plan, reason, remember, and act. But that autonomy creates a new class of security and governance risk. To address this, I combined two complementary research frameworks: ATFAA/SHIELD – a security and threat-mitigation model for agentic AI Governance-as-a-Service (GaaS) – a runtime compliance and policy enforcement layer Together, they create a complete, auditable model for securing and governing AI agents. 🔹 ATFAA identifies what can go wrong — from reasoning manipulation to governance evasion. 🔹 SHIELD defines how to protect — through segmentation, heuristic monitoring, immutable logs, and distributed oversight. 🔹 GaaS operationalizes governance — treating it as infrastructure: versioned, enforced, and continuously auditable. Why this matters: Agentic AI amplifies both capability and risk. Traditional frameworks like NIST or MITRE weren’t built for systems that learn, adapt, and act autonomously. This model bridges that gap with controls designed for AI agents — not static software. Bottom line: Governance shouldn’t be an afterthought. It should be built into every reasoning trace, tool call, and policy update. By merging ATFAA/SHIELD with GaaS, organizations can create AI ecosystems that are secure, explainable, and audit-ready by design. If you’re exploring agentic AI, this framework provides a starting point for implementation, oversight, and compliance that scales. #AI #Governance #AgenticAI #Security #Compliance #RiskManagement #Audit https://lnkd.in/gAu2Q-fv
