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WHTop → 📋 News → Palo Alto Acquires Koi for AI Endpoint Security
Feb, 2026 : Palo Alto Acquires Koi for AI Endpoint Security
📅 - Palo Alto Networks has entered into a definitive agreement to acquire Koi, a startup focused on what it calls "Agentic Endpoint Security," in a move aimed at addressing emerging risks tied to AI-driven workplace tools. Financial terms of the acquisition were not disclosed.
The acquisition, disclosed by the California-based cybersecurity vendor, comes as enterprises globally accelerate adoption of AI agents and automation frameworks that increasingly operate with broad system access.
The deal reflects a growing concern among security leaders that traditional endpoint defenses are ill-equipped to monitor and control AI-native software components. Unlike conventional applications, AI agents [...][... Check source for end of article ...]
📅 - Cisco Readies VMware Alternative Hypervisor - Cisco is preparing to introduce its own hypervisor as an alternative to VMware for customers running its unified communications applications, signaling a strategic shift in response to changes in VMware's product and pricing model under Broadcom ownership.
The move, outlined in updated virtualization guidance, positions Cisco to offer a purpose-built virtualization layer for its calling platforms, including Unified Communications Manager, with general availability expected in the first quarter of 2026.
For years, Cisco has supported its calling applications running on VMware virtual machines, requiring customers to deploy vSphere to host core collaboration workloads. However, since [...]
📅 - Neysa Secures $1.2B to Scale India AI Platform - Neysa has secured commitments for a $1.2 billion capital raise to accelerate its ambition of building India's leading AI infrastructure platform, marking one of the largest funding initiatives in the country's artificial intelligence ecosystem to date. The announcement, made this week in India, signals a major step in scaling sovereign AI compute capacity as demand for domestic GPU infrastructure intensifies across enterprise and public sectors.
The transaction includes up to $600 million in equity from private equity funds affiliated with Blackstone and co-investors. Based on that equity commitment, Neysa intends to secure an additional $600 million in debt financing, subject to [...]
📅 - Official Notice: .TZ Expiry Window Now Only 7 Days (TCRA Registry Policy Update) - There’s an important change you need to know if you own a .TZ domain (example: biashara.co.tz, company.tz). TCRA has updated the .TZ Registry Policy, and the Registry has shortened the expiry grace period from 30 days to 7 days only.
That means: if your .TZ domain expires and you don’t renew fast, your website and email can go offline sooner than before. What exactly changed?
Previously, most .TZ domains had a longer buffer after expiry (commonly treated as 30 days) before serious service interruption happened.
✅ Now the expiry grace period is only 7 days. After those 7 days, the domain can be moved out of active DNS, leading to service disruption.
Bottom line: You have less time to reco
📅 - An Executive Guide to Data Center Cooling Strategies - Global demand for digital infrastructure is accelerating at a pace that is reshaping the economics, design and environmental footprint of data centers worldwide. As hyperscale operators, colocation providers and enterprises scale infrastructure to accommodate increasingly dense workloads, one issue sits at the center of strategic planning: heat.
The modern data center is no longer simply a warehouse of servers. It is an energy-intensive compute engine supporting generative AI models, financial trading platforms, global content distribution and real-time analytics. Each of these workloads generates heat at densities that would have been considered extreme only a decade ago.
The rise of AI [...]
📅 - Hosted.com® Examines How Training Data Shapes Modern AI Models - Machine Learning is the primary method for training AI models. Rather than relying on fixed rules and hard-coded instructions, they are designed to identify patterns and relationships in large datasets to generate outputs.
The main sources of training data include: Publicly available web content gathered by AI crawlers. User-Generated Content (UGC), such as forums and social media platforms. Licensed datasets from content owners. Each of these affects how LLMs and generative AIs respond, what they prioritize, and where they may fail.
Additionally, Hosted.com® looks at the growing reliance on synthetic data generated by other AI systems. As high-quality human-created content becomes [...]
📅 - Unilever Selects Google Cloud for AI Future - Unilever has selected Google Cloud as its strategic cloud and AI partner in a five-year agreement aimed at accelerating the consumer goods company's enterprise-wide digital transformation. The decision positions Google Cloud at the center of Unilever's next phase of growth as the company restructures its data, marketing and operational backbone around advanced artificial intelligence capabilities.
The move reflects a broader shift in the consumer packaged goods (CPG) industry, where AI-driven discovery, personalization and automation are rapidly redefining competitive advantage.
Under the partnership, Unilever will migrate its integrated data platforms and key enterprise applications to [...]
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