Agentic AI poses new risks: chained vulnerabilities, data leakage, and more. How to mitigate them.

A McKinsey & Company report highlights a profound shift: #AI is moving from enabling interactions to driving transactions that directly run your business. This leap in autonomy creates new, amplified #risks. McKinsey identifies 5 critical new threats: ⛓️ Chained Vulnerabilities: One agent's error (like a bad data point) cascades, leading to a majorly flawed outcome (like a risky loan approval). ⬆️ Cross-Agent Task Escalation: Malicious agents exploit "trust" between systems, impersonating privileged users (like a doctor) to steal sensitive data. 🎭 Synthetic-Identity Risk: Forget fake humans. Attackers can now forge the digital identity of a trusted agent to bypass security. 💧 Untraceable Data Leakage: Agents interacting autonomously can share sensitive PII without leaving an audit trail. The leak is invisible. 🗑️ Data Corruption Propagation: A single piece of low-quality data (e.g., a mislabeled trial result) is silently fed to multiple agents, poisoning the entire decision pipeline. The Takeaway 🚨 These errors erode all faith in automated processes. The efficiency gains from agentic AI are worthless if built on a foundation of sand. Safety and security can't be an afterthought. They must be woven in from day one. 🦺 #AgenticAI #McKinsey #AIStrategy #AIRisk #DigitalTrust #Cybersecurity #AIgovernance #Innovation https://lnkd.in/dQuPkUUJ

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

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

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 whole new consulting industry is emerging around agentic AI risk analysis and abatement. The gap is massive: only 1% of organizations believe their AI adoption has reached maturity, yet 80% have already encountered risky AI agent behaviors. McKinsey’s new playbook highlights novel risks we haven’t seen before—chained vulnerabilities, synthetic-identity risks, and untraceable data leakage across agent networks. These aren’t traditional cybersecurity problems. Trust can’t be a feature of agentic systems; it must be the foundation. How are you approaching agentic AI governance? https://lnkd.in/gDepNmv7

AI just ran its first real cyberattack. Anthropic caught it mid-stride. Attackers manipulated Claude Code into infiltrating ~30 organizations finance, chemicals, even government agencies with 80–90% of the op executed autonomously. How? By breaking malicious tasks into “innocent” micro-requests to slip past guardrails. Analysts call it state-sponsored. Confidence: high. Here’s what just changed: Speed & scale: Agentic attacks iterate faster than your SOC can triage. Deception-by-design: Harmless subtasks = plausible deniability for both model and human. Supply-chain risk: Your AI vendors just became part of your attack surface. What to do about it Agent kill-switches + action budgets: Cap rate, steps, and timeouts. Add human hold-points. Least-privilege tool use: Scoped creds. Short-lived tokens. Vault everything. Behavioral telemetry: You can’t log chain-of-thought—but you can log tool traces. Pre-prod gauntlet: Red-team with adversarial prompts, task-splits, goal-hijacks. Vendor clauses: Demand jailbreak reporting, continuous evals, and incident SLAs. Exec takeaway: AI won’t just write your runbooks—it’ll attack them. Treat every agent like a junior contractor with root access: log it, limit it, and be ready to kill it on demand. — CJ 🧠 | Integrate • Automate • Scale #AISecurity #AgenticAI #Cybersecurity #ModelGovernance #RiskManagement #Claude #Anthropic #CISO

Senior Executives part 4 🛑 Pain: The Catastrophic Cost of Unmanaged Risk The financial and reputational cost of a single major data breach or regulatory fine is no longer a budget line item—it's catastrophic, often starting at $10 million and climbing quickly. The real challenge? Human security teams simply cannot keep pace with the volume and sophistication of threats hitting the network 24/7. This gap is the executive's largest latent liability. The Executive Mandate: AI as Risk Insurance You can't afford reactive security in an AI-driven world. Investment in this area is not optional; it's the premium for business survival. A AI Consultant Architect who specializes in deploying AI-Powered Threat Detection & Compliance ecosystems is the answer. They use machine learning to analyze network activity in real-time, instantly detect subtle anomalies, and secure your systems before the breach hits. Stop relying on tired security models. It’s time to architect a defensible, proactive risk posture. TheMSeries.com #Cybersecurity #RiskManagement #AIfordefense #RegulatoryCompliance

#CIOs and #CISOs today face a defining paradox! Everyone wants faster AI adoption, but few can prove that their models are governed, compliant and secure. A lot of AI initiatives scale fast, but fail audits, expose vulnerabilities, or erode trust. That’s exactly the problem Fusefy sets out to solve. At the heart of Fusefy’s Trustworthy AI Framework lies a deeply integrated system of metrics: #Key_Control_Indicators (KCIs), #Key_Risk_Indicators (KRIs), and #Key_Performance_Indicators (KPIs) that keep speed and safety in balance across the entire AI lifecycle. 🔒 Key Control Indicators (KCIs): Our KCIs underpin AI governance, legal, and cybersecurity controls from access management and data policies to version control and audit trails. They verify that every safeguard works as intended, ensuring compliance isn’t an afterthought. ⚠️ Key Risk Indicators (KRIs): KRIs track the pulse of risk across data privacy, cybersecurity, and explainability. They proactively flag threats like data drift, bias, or dependency failures empowering teams to intervene before small issues escalate into enterprise risks. 📈 Key Performance Indicators (KPIs): KPIs measure what truly matters: reliability, ROI, usability, and acceptance. They ensure that every AI model not only performs but also delivers measurable business outcomes and stakeholder trust. By embedding these interconnected metrics into every phase from AI Readiness to Monitoring, Fusefy transforms governance from a compliance checkbox into a strategic enabler of innovation. 💡 The Fusefy Difference: We don’t just build AI faster. We build governed, secure and auditable AI that regulators can trust. #AIgovernance #TrustworthyAI #CIO #CISO #AICompliance #AISecurity #RiskManagement #AIAdoption #Fusefy

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