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Rich Tehrani shared thisVery exciting Unified Office, Inc. News!TMC Insight: Unified Office, Inc. Joins the Franchise Sentiment Analytics ShortlistTMC Insight: Unified Office, Inc. Joins the Franchise Sentiment Analytics Shortlist
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Rich Tehrani shared thisAmazon has linked four major npm package breaches to Sapphire Sleet, a North Korea-linked hacking group tied to Lazarus. Amazon Threat Intelligence attributes the compromise of four widely used npm packages — Axios, debug, chalk, and typo-crypto — to Sapphire Sleet, assessed with medium confidence. The attackers did not exploit npm infrastructure itself. Instead, they targeted the people authorized to publish packages, cultivating relationships with maintainers and stealing credentials to push malicious updates through already-trusted accounts. Axios alone sees more than 100 million weekly downloads, illustrating the potential scale of exposure. For B2B technology teams, this campaign shows that supply chain risk now runs through the humans behind open-source packages, not just the code itself. A single compromised maintainer account can quietly poison updates reaching thousands of enterprise build pipelines, CI/CD systems, and cloud environments. Organizations should prioritize phishing-resistant authentication for maintainers, dependency lockfiles, and software provenance controls to reduce exposure.
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Rich Tehrani posted thisCheck Point Software Research documented a sharp seasonal rise in cyberattacks targeting hospitality, travel, and recreation organizations in May 2026, averaging 2,291 weekly attacks — a 24% year-over-year increase. https://lnkd.in/gk_4QnYW
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Rich Tehrani shared thisCVE-2026-16723 affects Fastjson versions 1.2.68 through 1.2.83 and carries a CVSS score of 9.0. The flaw can enable unauthenticated remote code execution through weaknesses in Fastjson's type-resolution logic. Attacks have already targeted finance, healthcare, retail, and technology organizations in the United States, according to a July 27 research note from the Cloud Security Alliance. https://lnkd.in/g6pgRtp9Attackers Exploit Alibaba Fastjson Zero-Day as Patch Gap PersistsAttackers Exploit Alibaba Fastjson Zero-Day as Patch Gap Persists
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Rich Tehrani reposted thisRich Tehrani reposted thisFree IoT Evolution Webinar: Explore considerations for deploying enterprise IoT at scale – from global coverage and carrier flexibility to lifecycle management and operational resilience – and discover where SGP.32 fits in. Register: https://bit.ly/4gOhSfp @KORE_Wireless
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Rich Tehrani shared thisBlackRock Inc. has begun marketing $12.3 billion of high-grade bonds for a Meta Platforms Inc. data center project, putting one of the largest AI infrastructure financings in front of investors during a more cautious period for technology credit. The transaction arrives after an AI-related debt selloff increased scrutiny of spending commitments, project economics and the volume of new bonds entering the market. Sopaipilla Investor, a holding company tied to BlackRock, is offering the financing as a single tranche of notes due in 2048, according to Bloomberg. Initial price talk indicated a premium of about 2.875% over comparable Treasuries. JPMorgan Chase & Co. and Morgan Stanley are managing the offering. The proceeds are intended to finance a data center campus in El Paso, Texas, with as much as 1 gigawatt of computing capacity for artificial intelligence workloads. BlackRock subsidiaries Global Infrastructure Management and HPS Investment Partners co-own the project via a dedicated holdings vehicle alongside Meta Platforms Inc. That ownership structure places most of the capital exposure with BlackRock’s investment businesses while keeping Meta directly involved in an asset supporting its computing requirements. A 2048 maturity requires bondholders to evaluate far more than near-term demand for AI processing. They also have to consider operating costs, equipment refresh cycles, power availability, cooling requirements and the possibility that computing architectures will change over the life of the debt. A data center building may operate for decades, but servers and accelerators can become economically dated much sooner. That helps explain the 2.875% spread under discussion. High-grade status can make the debt accessible to a broad institutional audience, yet investors still appear to be seeking additional compensation for duration and project risk. The pricing process will show whether buyers view the Meta Platforms Inc. relationship and BlackRock Inc. sponsorship as sufficient support, or whether the recent flood of technology issuance has reduced available capacity. https://lnkd.in/g5vaFv7kBlackRock Markets $12.3 Billion Bond for Meta’s Texas AI CampusBlackRock Markets $12.3 Billion Bond for Meta’s Texas AI Campus
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Rich Tehrani shared thisThe 6sense B2B Buyer Experience Report found that 94% of surveyed B2B buyers were using large language models during the buying process. Buyers were not necessarily abandoning vendor websites or sales conversations, but they were using AI to research markets, compare products and evaluate potential suppliers before speaking with a salesperson. Consumer behavior is shifting as well. McKinsey research on AI-powered search found that about half of surveyed consumers intentionally used AI-powered search. Among AI search users, 44% described it as their primary and preferred source of information. McKinsey projects that AI-powered search could influence $750 billion in U.S. revenue by 2028 and place 20% to 50% of traditional search traffic at risk. The traffic is beginning to show up in company analytics. Adobe reported that traffic from AI sources to U.S. retail websites grew 393% year over year during the first quarter of 2026. In March 2026, AI-referred traffic converted 42% better than non-AI traffic in Adobe's dataset. Market forecasts vary, but one AI search engine market estimate projects growth from $20.75 billion in 2026 to approximately $182 billion by 2035. Meanwhile, Reuters reported that spending behind the broader AI infrastructure race is expected to exceed $700 billion in 2026. Companies are investing heavily because AI is becoming an intermediary between buyers and sellers. When a buyer asks an AI platform which company to call, which product to consider or which provider serves a particular market, the answer may shape the buyer's shortlist before that buyer ever visits a website.Rich Tehrani shared thisAI is becoming an important research and purchasing channel for both consumers and B2B buyers. Companies need content covering the categories, geographic markets and vertical industries they serve. Visibility requires a combination of owned content, social activity, industry media coverage and executive thought leadership. AI search performance must be measured across multiple platforms, prompts, competitors and time periods. Improving visibility is a continuous process of identifying gaps, publishing targeted content, measuring results and adjusting the strategy. AI search is no longer an experimental marketing channel. https://lnkd.in/gQ5s_-Cw
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Rich Tehrani shared thisRingCentral is expanding its use of OpenAI’s ChatGPT Work and Codex, giving employees across different business functions more ways to create software projects and apply generative AI to daily work. The decision follows an internal program that produced about 2,500 projects in less than 30 days. The AI-Native Challenge was open to engineering and non-engineering employees, an important detail for enterprise technology leaders. RingCentral was not simply testing whether experienced developers could write code faster. It was also examining whether employees without conventional software engineering backgrounds could translate ideas into working applications, prototypes, or automated workflows. That broad participation may be the more consequential result. Generative AI coding systems are increasingly positioned as tools for product managers, operations teams, support personnel, sales employees, and other specialists who understand a business problem but may lack the programming skills to build a solution themselves. Codex can narrow that gap, although human review remains important for security, quality, and maintainability. Completing 2,500 projects does not automatically translate into 2,500 production-ready applications. Some likely served as experiments or proofs of concept. Even so, the volume and short completion period give RingCentral a useful internal map of where employees see opportunities for automation. Which ideas are repeated across departments? Which prototypes save measurable time? Those questions can help RingCentral decide what to develop, standardize, or retire. https://lnkd.in/g5bB4hA4RingCentral Broadens OpenAI Rollout After 2,500-Project SprintRingCentral Broadens OpenAI Rollout After 2,500-Project Sprint
Rich Tehrani replied to a comment
1d
The Managed Service Providers Association of America® excellent points
Rich Tehrani replied to a comment
1w
Brian C.. Thank you Brian - your suggestions means the world to me. Please let me know if this wording meets with your approval:
The transition to quantum computers is likely going to break the the majority of encryption, exposing our data and currency to theft.
Brian C. tells us this is an enormously complicated problem for the industry and companies to solve.
He further tells us - not too get too alarmist about it - and ideally do not network with your peers at a live event to help solve the problem.
Should I add they should hire you instead of learning for themselves?
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Rich Tehrani liked thisRich Tehrani liked thisFree IoT Evolution Webinar: Explore considerations for deploying enterprise IoT at scale – from global coverage and carrier flexibility to lifecycle management and operational resilience – and discover where SGP.32 fits in. Register: https://bit.ly/4gOhSfp @KORE_Wireless
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