Why Prompt Injection Is the New Malware: The Mindset Shift Enterprise AI Needs
Prompt injection has become the top LLM vulnerability. Discover why treating AI models as untrusted components is now essential for enterprise security.
Prompt injection has become the top LLM vulnerability. Discover why treating AI models as untrusted components is now essential for enterprise security.
The rapid shift from simple chatbots to autonomous, system-level AI agents is reshaping how software is built, deployed, and governed. Tools like OpenClaw, Google’s Antigravity, and Anthropic’s Claude Cowork illustrate both the promise and the peril of this new “agentic”… Read More »Claude, OpenClaw, Antigravity and the High-Stakes Future of AI Agents
As security teams race to operationalize models, copilots, and agentic workflows, a less visible but foundational shift is happening underneath: vendors are converging on a shared way to describe security data. The Open Cybersecurity Schema Framework (OCSF) has quickly become… Read More »OCSF: How a Common Security Data Schema Is Powering the Next Wave of AI-Ready SOCs
The security world has spent the last year fixated on models, copilots, and agents. But beneath that visible layer, a quieter change is reshaping how defenses are actually built: vendors are converging on a shared way to describe security data.… Read More »How OCSF Became the Common Security Data Language for the AI Era
As developers deploy unmanaged AI agents, enterprises face a new governance gap. Analyze the risks and Kilo’s organizational solution.
VentureBeat’s flagship enterprise AI event, Transform 2026, is putting autonomous agents and agentic AI orchestration at the center of its Innovation Showcase. For founders and product leaders building serious enterprise agent platforms, this is a chance to put your technology… Read More »Transform 2026 calls for breakthrough agentic AI: How to get your autonomous agents on stage
The first wave of enterprise AI centered on generic copilots and basic recommendations. The next wave is about something more ambitious — and riskier: systems that build a rich, persistent understanding of individual users and use that context to act… Read More »From Generic AI to Deeply Personal Agents: How Enterprises Are Racing to Own User Context
Xiaomi has moved from being a hardware-first player in smartphones and electric vehicles into the center of the frontier AI race. With MiMo‑V2‑Pro, a 1‑trillion parameter foundation model designed explicitly for autonomous agents, the company is now competing with OpenAI… Read More »Inside Xiaomi’s MiMo‑V2‑Pro: A 1T‑Parameter Agentic LLM Challenging GPT‑5.2 on Cost and Capability
Enterprise AI teams are starting to hit an uncomfortable truth about multi-agent systems: high-quality models are not enough. When agents are built on different platforms, by different teams, and wired into different slices of the data estate, they often act… Read More »Microsoft’s Fabric IQ Aims to Give Enterprise AI Agents a Shared Version of Reality
Across industries, enterprises are pouring budget and talent into AI initiatives — yet many of those projects stall, underperform, or never make it into meaningful production use. Recent reports on AI project failure rates have amplified a hard truth: the… Read More »Why So Many Enterprise AI Projects Fail — And Three Cultural Fixes That Work
Anthropic is deepening its push into enterprise workflows by extending its Claude AI model more tightly into Microsoft Excel and PowerPoint. With new shared-context capabilities and a system of reusable “Skills” for repeatable workflows, the company is positioning Claude as… Read More »Anthropic Extends Claude Across Excel and PowerPoint With Shared Context and Reusable Skills
Multi-agent AI systems are moving from research demos into production software engineering, cybersecurity, and operations workflows. But they come with a hard economic constraint: they can generate up to 15x the token volume of standard chat use cases, putting serious… Read More »Inside Nvidia’s Nemotron 3 Super: A 120B-Parameter Hybrid Model Built for Multi‑Agent Workloads