New consulting industry emerges for AI risk analysis and abatement

As organizations embrace agentic AI, the potential for transformative efficiency is immense, yet so are the risks. The shift towards autonomous systems necessitates rigorous governance and proactive risk management to prevent vulnerabilities that could disrupt operations or compromise data integrity. Establishing robust oversight and security frameworks is crucial to ensure that these intelligent agents operate within ethical and secure boundaries, fostering trust while maximizing value. The future of AI demands not just innovation but a commitment to safety as foundational. #cybersecurity #riskmanagement #agenticai

A great article from McKinsey: The immense value of agentic AI is directly proportional to its risk. When an AI can act autonomously — executing trades, managing data, interacting with customers — a security breach is no longer just a data leak. It's an active, unauthorized action that can lead to direct financial, operational, and reputational damage. Treating security as an afterthought doesn't just weaken organizations’ agentic AI deployment; it can erase the very competitive advantage and ROI organizations were trying to capture. The lesson is clear: Security isn't a feature to be bolted on. It's the foundational principle that makes agentic AI viable at scale. #AgenticAI #AISecurity #CyberSecurity

It is crucial to prioritize safety and security as you navigate the complexities of agentic AI. McKinsey's latest playbook outlines best practices for AI governance, cybersecurity risk assessment, and autonomous system management. https://okt.to/Hm2Bck

Autonomous AI agents present new opportunities compared to other forms of artificial intelligence, but these opportunities also come with many new and complex risks that require careful consideration. These could introduce vulnerabilities that disrupt operations, compromise sensitive data, or erode customer trust. From untraceable data leakage to cross-agent task escalation, these errors and cyber threats threaten to erode faith in key business processes and undermine whatever efficiency gains they offer. To avoid these issues, companies must ensure that their AI policy framework addresses agentic systems and their unique risks. Also important is establishing the kind of robust governance that can track AI performance across its entire lifecycle, avoiding the potential for chained vulnerabilities. #AgenticAI #AIGovernance #Cybersecurity

According to McKinsey & Company research, just 1% of surveyed organizations believe that their agentic AI adoption has reached maturity. The journey begins with updating risks and governance frameworks, moves to establish mechanisms for oversight and awareness, and concludes with implementing security controls. Techstra Solutions can help accelerate your journey. #AgenticAI #riskmanagement #governance #security #digitaltransformation https://smpl.is/adk7u

Agentic AI offers immense potential but introduces a new class of risks. McKinsey identifies five emerging threats: chained vulnerabilities, cross-agent task escalation, synthetic-identity risk, untraceable data leakage, and data corruption propagation. CIOs, CISOs, and CROs must treat AI agents as “digital insiders,” strengthening governance, IAM, and oversight. Establishing traceability, contingency planning, and secure agent-to-agent protocols is essential. In an agentic world, trust cannot be assumed—it must be architected into every layer of AI deployment. #AgenticAIRisks #AIsecurity #ResponsibleAI https://lnkd.in/gs6ewfDP

🔐 Why Insider Risk Now Includes AI We’ve long viewed insider threats as risks posed by employees, contractors, and vendors with access to sensitive data. But as AI becomes embedded in business workflows, it’s time to rethink the definition of “insider.” At Morefield, we’re seeing AI systems evolve into trusted agents — with the permissions, autonomy, and access once reserved for people. Here are a few key takeaways: • 🤖 Privileged Access + Autonomy: AI tools are now making decisions, accessing data, and acting with little oversight — just like a human insider. • 🧠 New Attack Surface: Threats such as prompt-injection, data poisoning, and misuse of generative AI are turning “tools” into risk vectors. • 🚨 Governance Gaps: If your insider risk program only monitors people, you’re missing half the story. AI systems need their own access controls, audit logs, and oversight. 👉 Your next move: treat AI like a privileged user — assign roles, limit access, monitor behavior, and enforce model governance. 📖 Read more here: https://hubs.ly/Q03PBWD10 #Cybersecurity #InsiderRisk #AI #Governance #ZeroTrust #Morefield #DigitalRisk #TechTrends

When AI Turns Rogue: Mitigating Insider Threats in the Age of Autonomous Agents -  The prolific rise of AI agents is creating new challenges for security and IT teams. On the cusp of this shift towards more agent-automated workflows for business continuity tasks, recent testing found that AI agents can exhibit unsafe or deceptive behaviors under certain conditions, creating a new insider threat for businesses across industries. Presenting a critical need for organizations to properly monitor AI agents that are accessing sensitive data and acting without human oversight, this potentially introduces new classes of risk that are faster, less predictable, and harder to attribute. The reality of these risks is twofold. On one hand, […] - https://lnkd.in/eayXsptV

When AI Turns Rogue: Mitigating Insider Threats in the Age of Autonomous Agents -  The prolific rise of AI agents is creating new challenges for security and IT teams. On the cusp of this shift towards more agent-automated workflows for business continuity tasks, recent testing found that AI agents can exhibit unsafe or deceptive behaviors under certain conditions, creating a new insider threat for businesses across industries. Presenting a critical need for organizations to properly monitor AI agents that are accessing sensitive data and acting without human oversight, this potentially introduces new classes of risk that are faster, less predictable, and harder to attribute. The reality of these risks is twofold. On one hand, […] - https://lnkd.in/eayXsptV

As the AI boom has continued to escalate at an exponential rate, leaving cybersecurity concerns behind is a prescription for disaster. AI Agents and Agentic AI raise the stakes even higher. This McKinsey & Company report illustrates the dangers and the steps IT teams must take to keep the company jewels safe. Don't wake up to find yourself unawares like the Louvre Museum did today. https://lnkd.in/e7avhFnD