The Ultimate Guide to Managing Third-Party Risk

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Third-party risk management (TPRM) is the process of identifying, assessing, and mitigating risks associated with external third parties. TPRM programs are driven by regulatory requirements, cybersecurity risk, competitive advantages, and internal efficiency. The TPRM lifecycle includes sourcing and selection, intake and onboarding, inherent risk scoring, internal controls assessment, external risk monitoring, SLA and performance management, and offboarding and termination.

https://www.jdsupra.com/legalnews/the-ultimate-guide-to-managing-third-5033967/

How to Create an Effective Business Continuity Plan

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A business continuity plan (BCP) is a strategic guide that helps organizations maintain or quickly resume operations during disruptions such as natural disasters, cyberattacks, or supply chain failures. It involves assessing critical business processes, setting recovery objectives, detailing roles and procedures, and regularly testing and updating the plan to address evolving risks, including those from AI and third-party dependencies. Effective BCPs, supported by senior management and enhanced by modern tools like AI, are vital for minimizing downtime and ensuring organizational resilience in an increasingly complex operating environment.

https://www.cio.com/article/4166194/how-to-create-an-effective-business-continuity-plan-3.html

The CIO Succession Gap Nobody Admits

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The article highlights a significant issue in CIO succession planning, revealing that many CIOs become unable to leave their roles because their top technical deputies lack the leadership skills and boardroom experience required to succeed them. This “architect trap” results in a weak leadership bench that appears deep technically but fails to gain board approval, which can delay CIO career moves and stall organizational transformations. The author recommends deliberate succession planning early on by assigning deputies real decision-making authority, exposing them to challenging executive interactions, and introducing them to the board to build credible future CIO candidates.

https://www.cio.com/article/4168461/the-cio-succession-gap-nobody-admits.html

Coherence: Where Leadership and AI Success Intersect

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BNY's CIO Leigh-Ann Russell emphasizes “coherence” as a vital leadership discipline in successfully integrating AI within complex, fast-paced organizations, connecting strategy to execution and balancing innovation with control to avoid chaos. Under her leadership, BNY has rapidly advanced AI adoption, deploying over 220 AI solutions and 140 digital employees through a centralized platform, while fostering talent and clarity to embed AI at the core of operations sustainably and ethically.

https://www.cio.com/article/4166851/coherence-where-leadership-and-ai-success-intersect.html

Navigating Compliance and Insurance as a Competitive Edge

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In 2026, compliance with regulations like GDPR and NIS2, alongside stringent cyber insurance requirements, has become a key driver for cybersecurity investments, shifting security from a cost center to a strategic business asset. Partners who deliver solutions aligned with these frameworks, supported by platforms like Symantec CBX for continuous compliance monitoring, help organizations reduce risk, lower insurance premiums, and gain a competitive edge through digital trust and operational resilience.

https://www.security.com/blog-post/resilient-channel-series-part-5

AI Is Spreading Decision-Making, but Not Accountability

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As AI systems become widely adopted in enterprises, decision-making responsibilities are distributed across various teams, but legal accountability tends to concentrate on the organizations deploying these systems and their executive leadership, particularly CIOs. While AI governance frameworks involve multiple functions like legal, risk, IT, and business, courts generally hold humans—especially those integrating AI into real-world decisions—responsible when failures occur, underscoring that AI spreads decision-making but does not absolve accountability.

https://www.cio.com/article/4160986/ai-is-spreading-decision-making-but-not-accountability.html

When Everyone Has AI and the Company Still Learns Nothing

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Robert Glaser discusses the complex “messy middle” phase of AI adoption in organizations, where widespread AI use does not necessarily translate into organizational learning or improved capabilities. He emphasizes the need for companies to develop systems—like Loop Intelligence Hubs—that track and harness AI-driven learning from real work loops to enhance decision-making, distribute useful agent capabilities, and avoid treating AI use as mere token consumption, highlighting that operational control and learning velocity will become key competitive advantages.

https://www.robert-glaser.de/when-everyone-has-ai-and-the-company-still-learns-nothing/

The Back Door Attackers Know About — and Most Security Teams Still Haven’t Closed

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A significant backdoor in enterprise security involves persistent OAuth tokens granted to third-party apps, which do not expire, reset, or receive automatic monitoring, allowing attackers to bypass traditional defenses like MFA once compromised. Research shows 80% of security leaders recognize the risk, yet many do not actively monitor these tokens, exemplified by the Drift-Salesloft attack where stolen OAuth tokens were exploited to access data across hundreds of organizations. Effective security demands continuous behavioral monitoring of apps, blast radius assessment, and intelligent responses to mitigate risks posed by legitimate apps whose credentials have been weaponized after installation.

https://thehackernews.com/2026/05/the-back-door-attackers-know-about-and.html

As AI Complicates Project Tracking, Will CIOs Need New Controls?

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AI projects are transforming traditional workflows into distributed, iterative processes that lack clear visibility and accountability, challenging CIOs to find new ways to govern and track them effectively. As AI adoption spreads across business functions with minimal built-in controls, IT leaders must balance fostering innovation with implementing governance to ensure responsible deployment, oversight, and ongoing evaluation, shifting their role from project delivery to stewardship of AI as a core, accountable part of enterprise operations.

https://www.informationweek.com/machine-learning-ai/as-ai-makes-projects-harder-to-track-will-cios-need-new-controls-

When the CEO Leads the AI Initiative

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The article emphasizes that successful AI adoption in enterprises requires active leadership from the CEO, who champions the initiative internally and externally, while delegating execution to senior executives like the CIO. The CIO plays a critical role in developing realistic AI strategies, balancing enthusiasm with practicality, and maintaining strong communication with the CEO to ensure AI efforts align with business goals and avoid overhyped expectations.

https://www.cio.com/article/4166686/when-the-ceo-leads-the-ai-initiative.html

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