NEW Research: AIs Are Highly Inconsistent When Recommending Brands or Products; Marketers Should Take Care When Tracking AI Visibility

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AIs are inconsistent in brand/product recommendations, raising concerns for marketers relying on AI tracking. Research by Rand Fishkin and a colleague shows AIs rarely provide the same list of recommendations, complicating visibility metrics. Despite running numerous prompts via popular AI tools (ChatGPT, Claude, Google AI), the findings indicate answers vary widely, making “ranking position” tracking unreliable. Nevertheless, visibility percentages across multiple prompts can reflect brand presence in AI responses. Marketers should critically evaluate AI tracking tools, avoiding those without transparent methodologies.

https://sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility/

How “95%” Escaped Into the World

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“95 percent” of organizations claim no measurable P&L impact from generative AI, a statistic gaining traction but lacking robust academic backing. This claim originates from an MIT report with significant methodological issues: it provides no confidence intervals, and its sample is potentially unrepresentative, mixing various types of data without consistent definitions. The broad applicability of “95 percent” is questionable, as evidence suggests success rates may be closer to 25%. Moreover, the research lacks the scholarly rigor of peer-reviewed work, leading to potential misinterpretations. Overall, this figure should be regarded as unreliable and oversimplified.

https://www.exponentialview.co/p/how-95-escaped-into-the-world

Microsoft Brings AI-powered Investigations to Security Teams

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Microsoft Purview Data Security Investigations launched, enabling efficient security investigations (e.g., data breaches, internal fraud). Integrates across Microsoft 365, uses GenAI for data analysis, offers natural language search, and includes mitigation actions. Usage-based pricing for storage and analysis.

https://www.helpnetsecurity.com/2026/01/27/microsoft-purview-data-security-investigations/

Introducing Chat Hub

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TLDR: Chat Hub simplifies AI use in organizations by offering a unified interface that manages AI tasks securely. It addresses issues like “Shadow AI,” ensuring consistency, security, and straightforward access for non-technical users. Available for all n8n plans, it enables smooth AI adoption with centralized management and workflow automation.

https://blog.n8n.io/introducing-chat-hub/

How Best to Prepare Your Data for Your Tools

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Cybersecurity vendors often misalign their marketing, promoting features that buyers don’t value. This disconnect complicates the purchasing process, as buyers seek clear problem-solving capabilities over buzzwords. The discussion, led by David Spark and colleagues, emphasizes the need for vendors to genuinely address specific business needs rather than just showcase trendy technologies like AI. Authentic engagement and pragmatic approaches in marketing are crucial, as is understanding the actual value and impacts of a product on existing workflows. The conversation highlights an ongoing need for clearer communication between vendors and customers to bridge gaps in understanding.

https://cisoseries.com/how-best-to-prepare-your-data-for-your-tools/

Banks Face a Looming AI Payments Reckoning

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AI agents are poised to transform credit card commerce in 2026, potentially impacting 20% of card transactions. Merchants and issuers must adapt by hiring experienced tech leaders and educating consumers on AI’s benefits, as many are open to letting AI manage purchases for them. Preparation is crucial for both retailers and credit card companies to successfully integrate AI into daily shopping interactions.

https://www.cardrates.com/news/banks-face-a-looming-ai-payments-reckoning/

Turning Threat Reports Into Detection Insights With AI

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An AI-assisted workflow is proposed for transforming threat reports into structured analysis, enhancing efficiency in identifying coverage gaps and ensuring better detection accuracy. The importance of human validation remains critical to confirm AI-generated insights. Overall, the approach aims to streamline the detection process while leveraging both AI’s speed and human expertise.

https://www.microsoft.com/en-us/security/blog/2026/01/29/turning-threat-reports-detection-insights-ai/

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