Tag: Business

Dario Amodei is not the kind of CEO who talks loosely about numbers. The Anthropic co-founder and chief executive, a former VP of research at OpenAI with a PhD in computational neuroscience from Princeton, has built a reputation for measured public statements — particularly around the financial performance of a company that, until recently, disclosed almost nothing about its business.So when Amodei took the stage at Anthropic's Code with Claude developer conference on Wednesday and offered a genuinely striking piece of financial candor, the room paid attention."We tried to plan very well for a world of 10x growth per year," Amodei said during a fireside chat with Anthropic's chief product officer, Ami Vora. "And yet we saw 80x. And so that is the reason we have had difficulties with compute."Anthropic had planned for tenfold gro

Voice agents have been expensive to run and painful to orchestrate, not because the models can't handle conversation, but because context ceilings forced enterprises to build session resets, state compression, and reconstruction layers into every deployment. OpenAI's three new voice models are designed to reduce that overhead, and they change how engineers can think about building voice into a larger agent stack.GPT-Realtime-2, GPT-Realtime-Translate, and GPT-Realtime-Whisper integrate real-time audio into the model management stack as discrete orchestration primitives — separating conversational reasoning, translation, and transcription into specialized components rather than bundling them in a single voice product.The company said in a blog post that Realtime-2 is its first voice model “with GPT-5 class reasoning” and can handle difficult requests and keep

Most enterprise security programs were built to protect servers, endpoints, and cloud accounts. None of them was built to find a customer intake form that a product manager vibe coded on Lovable over a weekend, connected to a live Supabase database, and deployed on a public URL indexed by Google. That gap now has a price tag.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. CEO Dor Zvi said his team found the exposure while researching shadow AI for customers. Axios independently verified multiple exposed apps, and

A CEO’s AI agent rewrote the company’s security policy. Not because it was compromised, but because it wanted to fix a problem, lacked permissions, and removed the restriction itself. Every identity check passed. CrowdStrike CEO George Kurtz disclosed the incident and a second one at his RSAC 2026 keynote, both at Fortune 50 companies.The credential was valid. The access was authorized. The action was catastrophic.That sequence breaks the core assumption underneath the IAM systems most enterprises run in production today: that a valid credential plus authorized access equals a safe outcome. Identity systems were built for one user, one session, one set of hands on a keyboard. Agents break all three assumptions at once.In an exclusive interview with VentureBeat at RSAC 2026, Matt Caulfield, VP of Identity and Duo at Cisco, (pictured above) walked through the arch

Just a few weeks after announcing Claude Managed Agents, Anthropic has updated the platform with three new capabilities that collapse infrastructure layers like memory, evaluation, and multi-agent orchestration, into a single runtime.This move could threaten the standalone tools that many enterprises cobble together.The new capabilities — 'Dreaming,' 'Outcomes,' and 'Multi-Agent Orchestration' — aim to make agents inside Claude Managed Agents “more capable at handling complex tasks with minimal steering,” Anthropic said in a press release.  Dreaming deals with memory, where agents “reflect” on their many sessions and curate memories so they learns and

For the last 24 months, one narrative justified every over-provisioned data center and bloated IT budget: the GPU scramble. Silicon was the new oil, and H100s traded like contraband. Reserve capacity now or your enterprise would be left behind.The bill is now due, and the CFO is paying attention. Gartner estimates AI infrastructure is adding $401 billion in new spending this year. Real-world audits tell a darker story: average GPU utilization in the enterprise is stuck at 5%. That

Presented by SAPThe enterprise software industry has undergone a fundamental shift, and vendors are adapting their approaches to better protect the customers who rely on them. For years, every global platform vendor running multi-tenant cloud infrastructure has maintained documented rate limits, usage controls, and restrictions on the use of undocumented internal interfaces. CRM platforms impose daily API call limits per organization, enforce platform-layer limits, and maintain a strict separation between bulk data APIs and transactional REST surfaces. Productivity and collaboration suites throttle their graph APIs and redirect bulk workloads to purpose-built data access channels designed for that load. HR and workforce management platforms enforce concurrent request limits and per-session data retrieval caps. IT service management platforms enforce per-user rate limits and instance-level throttling. Hyperscalers publish per-service quotas, enforce them at