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

Your Data Left the Building. Did Anyone Notice?

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The article discusses the critical issue of data sovereignty in enterprise AI adoption, highlighting that many organizations cannot clearly track where their data goes when processed by large language models (LLMs), leading to risks around data control and compliance. It emphasizes the growing importance of deliberate data governance as AI moves from experimentation to production, urging CIOs to gain visibility on AI tool usage, understand jurisdictional impacts, and make strategic decisions balancing cost, control, and capability to confidently manage AI data in regulated environments.

https://www.cio.com/article/4166636/your-data-left-the-building-did-anyone-notice.html

Your Biggest Security Risk Isn’t Malware — It’s What You Already Trust

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The article highlights a major shift in cybersecurity threats, noting that attackers increasingly exploit trusted native tools and administrative utilities within organizations rather than relying on traditional malware. This “Living off the Land” approach allows attackers to blend in with normal operations, making detection difficult and expanding the attack surface beyond what many organizations realize. Bitdefender offers a free Internal Attack Surface Assessment to help businesses identify and reduce such internal risks before they can be exploited.

https://thehackernews.com/expert-insights/2026/05/your-biggest-security-risk-isnt-malware.html

GDPR Fines Hit $1.4B as Customer Support Becomes Compliance Risk

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In 2025, GDPR fines reached $1.4 billion in Europe and $2.8 billion globally, highlighting significant risks in customer support operations due to data handling by outsourced teams. Experts emphasize that compliance depends on strict data access controls, comprehensive audit trails, thorough agent training, and ongoing monitoring to prevent breaches and ensure accountability throughout support workflows.

https://news.designrush.com/gdpr-compliance-customer-support-risks-explained

CISO Advisory: How To Use Agentic AI In Security

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Agentic AI holds significant promise for enhancing cybersecurity by reducing alert fatigue and accelerating vulnerability detection, making it a key investment focus for CISOs despite cautious deployment due to security, compliance, and operational risks. Experts recommend a gradual, well-governed adoption strategy that starts with assistive tasks like alert triage and investigation support, ensuring strong human oversight, risk management, and alignment with regulatory requirements to leverage AI’s benefits safely and effectively.

https://insight.scmagazineuk.com/ciso-advisory-how-to-use-agentic-ai-in-security

New Report Shows How AI Gives Cybersecurity Competitive Advantage

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A new World Economic Forum report reveals that artificial intelligence (AI) is the key driver transforming cybersecurity, with 94% of cyber leaders recognizing its defining role and 77% of organizations already employing AI in their cyber operations. The report highlights that strategic AI deployment enhances vulnerability detection, accelerates response times, and reduces breach costs, providing organizations a competitive edge in the escalating race against AI-empowered cyber threats.

https://www.weforum.org/press/2026/05/new-report-shows-how-ai-gives-cybersecurity-competitive-advantage/

Mythos AI Is a Cybersecurity Threat, but It Doesn’t Rewrite the Rules of the Game

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Anthropic’s latest AI, Claude Mythos, has demonstrated the ability to rapidly find and exploit thousands of software vulnerabilities, raising significant cybersecurity concerns globally. While Mythos represents an impressive advance in automating vulnerability discovery and exploitation, experts note it does not introduce fundamentally new types of threats but rather amplifies existing cybersecurity challenges by accelerating processes traditionally done by experts, highlighting the persistent imbalance between defenders and attackers in cybersecurity.

https://theconversation.com/mythos-ai-is-a-cybersecurity-threat-but-it-doesnt-rewrite-the-rules-of-the-game-281268

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