tag:dlvr.it,2018-03-23:ac6861e9e2d249fc92b2895b5ff7a2e0 2026-05-18T08:43:16-07:00 tag:dlvr.it,2026-05-18:cbe53662062d5a5971a7d146e53b4788 2026-05-18T08:43:16-07:00
"While Anthropic’s model is really good at finding software vulnerabilities, so are other models. The UK’s AI Security Institute found that OpenAI’s GPT-5.5, already generally available, is comparable in capability. The company Aisle reproduced Anthropic’s published results with smaller, cheaper models. At the same time, Anthropic’s refusal to publicly release its new model makes a virtue out of necessity. Mythos is very expensive to run, and the company doesn’t appear to have the resources for a general release. What better way to juice the company’s valuation than to hint at capabilities but not prove them, and then have others parrot their claims?" ]]> tag:dlvr.it,2026-05-18:9d14f80b315fc03dbd53afc1b594c5e9 2026-05-18T08:43:14-07:00
"Do not attempt to "fix" your data silos with AI. Fix the silos so that AI can function. Bhawani suggests an agentic assessment of your data landscape to identify where the "shadow data" is hiding. If you feed an AI agent data from five disconnected silos, it will hallucinate five different versions of the truth. Clear out the "caves" of manual data and lead everything into a visible, connected stream. Only then will your Ferrari actually have the wheels it needs to move. The age of the static database is over. The age of the contextual agent is here. Just make sure you aren't the one paying for a shiny red car that is permanently parked." ]]> tag:dlvr.it,2026-05-18:8cdbadf7980516ca07653325db275d50 2026-05-18T08:43:09-07:00
The SAP Sapphire 2026 final review - with Josh Greenbaum https://ift.tt/lRuQkv3 In a time-honored tradition, on the Thursday morning after Sapphire 2026, Josh Greenbaum and I commandeered an abandoned session room at the Hilton to ask ourselves the burning questions: what the heck just happened? What we can take away? Where did SAP advance the conversation, or come up short? Given I have issued multiple podcast from the event, I issued another challenge: let's not repeat prior podcast topics as much as possible. Also, in the context of SAP's new "autonomous enterprise" all-in messaging, the clear/awkward question must be asked: has Greenbaum, one of the most vociferous agentic AI critics in the SAP ecosystem, especially in terms of ROI, changed his stance? And: what did we learn from all of our interactions with SAP execs and customers? And yes: the API data controversy is addressed here. We had an hour of hot topics to work through, and didn't even get to them all. But, a few timestamps: 4:15 - AI and "Toolchain" advancements redux 16:43 - the API controversy breakdown - what we learned at Sapphire 26:00 - has Josh's stance on agentic AI changed? 38:00 - the autonomous enterprise framing 49:00 - SAP Connect, the business case challenge, and final hot seat questions Note to listeners - if you believe in totally ad-free, totally unsponsored podcasts like my series - an increasingly rare thing - consider giving me a positive rating or share. There is intentionally no business model - these podcasts are entirely self-funded and it's your engagement with them that keeps them going. via Busting the omnichannel - enterprise hacks and chats https://ift.tt/MmWGjvK May 17, 2026 at 08:38AM ]]> tag:dlvr.it,2026-05-11:846985d6d9bc6705f2139b706aeb6495 2026-05-11T10:36:19-07:00
"Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. No shell commands are hiding in the SKILL.md. Green across the board. The scanner never looked at the .test.ts file sitting one directory over. It didn’t need to. Test files aren’t part of the agent execution surface, so no publicly documented scanner inspects them (as of publication of this post). The file runs anyway. Not through the agent but through the test runner, with full access to the filesystem, environment variables, and SSH keys." ]]> tag:dlvr.it,2026-05-11:67b7de5c6b316a7f91cf17ff7141d296 2026-05-11T09:54:20-07:00 tag:dlvr.it,2026-05-11:fcef23b2f74951f3146c9c87d5d0f484 2026-05-11T09:54:20-07:00
"But you can also expect SAP’s new API policy to suck up more oxygen at Sapphire than the ERP vendor would like. CEO Christian Klein talked about API access on SAP’s earnings call. Klein had a meaty talk about APIs, customer data and what the vendor will protect. Key quotes include:" ]]> tag:dlvr.it,2026-05-11:6c6b6a13d38fcfea44182172865fab41 2026-05-11T09:54:19-07:00
"The enterprise does not need AI to be magical; it needs AI to be governable. Magic in enterprise terms is anything that cannot be audited, repeated, governed, or trusted at scale. A consumer error is an annoyance; an enterprise error propagates through process, policy, compliance, and customer outcomes. I could conclude that it is impossible for AI to replicate humans, but never forget the other two laws." ]]> tag:dlvr.it,2026-05-11:acf988c14fa3518a49628c53e1736e24 2026-05-11T09:54:18-07:00
"Google, for its part, is betting that the answer is platform-level defense at machine speed. At Next ’26, the company unveiled what it’s calling “Agentic Defense“: a cybersecurity platform that merges Google’s Threat Intelligence and Security Operations with Wiz, the cloud security firm it acquired earlier this year. The headline numbers are sobering context for the investment: Google’s own M-Trends 2026 report found that the handoff time between an initial intrusion and a secondary threat actor has collapsed from eight hours to 22 seconds over the past three years (p. 55). At that velocity, human-speed triage is a rounding error." ]]> tag:dlvr.it,2026-05-11:d865b7deee8c115977dc0c8e8bd63b60 2026-05-11T08:18:13-07:00
"New research from Israeli cybersecurity firm RedAccess quantifies the scale. The firm discovered 380,000 publicly accessible assets, including applications, databases, and related infrastructure, built with vibe coding tools from Lovable, Base44, and Replit, as well as deployment platform Netlify. Roughly 5,000 of those assets, about 1.3%, contained sensitive corporate information. " ]]> tag:dlvr.it,2026-05-11:5cca0df1f2e11c1b652e74356f177f1e 2026-05-11T08:18:09-07:00
"Currently, everyone is obsessed with the "Gen" in GenAI, but for CX, the "Predictive" side is often more valuable. Don’t just buy tools that just help you write faster. Instead, use AI to identify patterns: which customers are about to churn, which leads are actually ready to buy, and what content actually helps close deals. As Volker noted, tools that track actual consumption or customer journeys (did they stop at the pricing page?) provide infinitely better data than "clicks". Use AI to find the needle; don't just use it to make a bigger haystack." ]]> tag:dlvr.it,2026-05-03:ccfbde149e0268b3ed046be7174adc5e 2026-05-03T18:44:35-07:00
"Lock-in shifts from compute, storage and databases to models, agents, vector stores, data catalogs and workflow automation. Exiting a cloud isn't easy and exiting an AI platform will be harder. As hyperscalers control each layer they'll have more monetization opportunities and pricing power. You may get bundle economics today and pay for hyperscalers' margin expansion later via consumption models and potential orchestration charges. Data gravity is AI gravity. Once your agents are grounded in one cloud you'll likely stay. Cloud providers are vertically integrating across the entire stack and that means you'll be more dependent on them at every level. " ]]> tag:dlvr.it,2026-05-03:ab16c4138b0263bad75cdcadba6b160b 2026-05-03T18:44:35-07:00
"OX Security confirmed arbitrary command execution on six live platforms and estimates 200,000 MCP servers are exposed. Here's how to audit your deployments." ]]> tag:dlvr.it,2026-05-03:f6de9eed628378fe2fda3eadbb7c263b 2026-05-03T18:44:34-07:00
Enterprise Month in Review - event detox and AI agent reality check edition https://ift.tt/mkMzHwE About ready for an event detox? Need a break from agentic keynote overdose? Join us for our picks and pans of the month, and perhaps a surprise guest or two, as we valiantly push to break through the noise and boil down our top road lessons. As always, Brian's infamous slide deck will be on display. Bring your savviest and snarkiest commentary... Note: this is the audio-optimized version... To see the full slides, check the youtube video replay: https://youtube.com/live/ga5DGxy74sA.  via Busting the omnichannel - enterprise hacks and chats https://ift.tt/rvbX6pz May 3, 2026 at 03:48PM ]]> tag:dlvr.it,2026-05-03:b91abb8751f24583370190844afe366d 2026-05-03T18:31:15-07:00
"Institutional Knowledge Gaps. The AI committee members rarely understand the corporation’s operating model. They are often disconnected from the strategic bottlenecks present in that model. Moreover, the technical fluency that their members frequently lack obstructs their ability to determine which bottlenecks to alleviate with AI. AI technology providers are admitting that their products’ capabilities outpace the abilities of corporations to understand and implement them. CoEs face the opposite deficit. While their staff may understand the intricacies of generative AI, they lack the deep domain expertise and tacit knowledge of the business workflows they are trying to automate and the associated organizational structures that should be modified. As a result, the enterprise defaults to pilots that fail to deliver structural transformation." ]]> tag:dlvr.it,2026-05-03:ff4c39d43d89b089526662bd59114d68 2026-05-03T18:31:14-07:00
"Five of the seven enterprise titans I track walked into Las Vegas and announced expanded partnerships that all rest on the same architecture: Gemini Enterprise as the agent control plane, with the titan's product playing the role of premium ingredient. Salesforce. SAP. ServiceNow. Oracle. Adobe. Add Workday and Palantir Technologies to the picture, both adjacent to my titan list but visibly aligned in the same direction." ]]> tag:dlvr.it,2026-05-03:65fd54917bb42bc1efa9fc4a6f14fe85 2026-05-03T15:08:35-07:00
"The latest earnings calls confirm that cloud and AI are now fully intertwined. Growth across AWS, Azure, and Google Cloud is being driven by a combination of enterprise migration and AI-related demand. For cloud customers, the key takeaway is not just that spending is increasing. It is how that spending is being structured. Providers are using AI and infrastructure investment to support larger, longer-term commitments. Navigating this environment requires disciplined sourcing practices, clear internal alignment, and a strong understanding of how vendor incentives are structured." ]]> tag:dlvr.it,2026-05-03:fe5f39a70f2a9f508e1045df35219a64 2026-05-03T15:08:35-07:00 tag:dlvr.it,2026-05-03:e6178876737b5cb7771e070e761c96f0 2026-05-03T15:08:35-07:00
Enterprise hits and misses - Google makes its agentic control play, AI vendor lock-in data is in, and event season hits peak frenzy https://ift.tt/uUyl4NP This week - some crucial enterprise shows hit the stage (hard). Google made its enterprise orchestration play clear, but what are we learning about AI vendor lock-in? AI security is the always-looming undercard, but is the context layer the real preoccupation? via Jon Reed – diginomica https://diginomica.com April 27, 2026 at 07:45PM ]]> tag:dlvr.it,2026-04-27:809728c5149af460ab8a8f4801060642 2026-04-27T01:13:20-07:00
"Graduate bottoms-up agents to the broader enterprise. If an agent solves a problem across many employees and departments, you standardize it, add more governance and publish it on a central platform. Monitor ongoing agent usage due to costs and decommission low-ROI or unused agents on a regular basis. Don’t be shy about culling the AI agent herd. Managing agent sprawl comes down to creating it and then paring back repeatedly." ]]> tag:dlvr.it,2026-04-27:2293d06e9b0a41a6c04ddd01e23104da 2026-04-27T01:13:17-07:00
"The limiting factor in supply chain planning deployment is usually domain expertise and clarity on the planning mission to drive value. Despite the rise of technology to make do-it-yourself modeling easier, side-step the do-it-yourself option and build a relationship with the technology provider. I look forward to seeing your comments." ]]>