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One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it’s a gap most enterprises don’t know exists. When attackers send a single malicious request, open-weight AI models hold the line well, blocking attacks 87% of the time (on average). But …

AI models block 87% of single attacks, but just 8% when attackers persist Read More »

Chinese artificial intelligence startup DeepSeek released two powerful new AI models on Sunday that the company claims match or exceed the capabilities of OpenAI’s GPT-5 and Google’s Gemini-3.0-Pro — a development that could reshape the competitive landscape between American tech giants and their Chinese challengers. The Hangzhou-based company launched DeepSeek-V3.2, designed as an everyday reasoning …

DeepSeek just dropped two insanely powerful AI models that rival GPT-5 and they’re totally free Read More »

When Liquid AI, a startup founded by MIT computer scientists back in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: deliver the fastest on-device foundation models on the market using the new “liquid” architecture, with training and inference efficiency that made small models a serious alternative to …

MIT offshoot Liquid AI releases blueprint for enterprise-grade small-model training Read More »

With some needed infrastructure now being developed for agentic commerce, enterprises will want to figure out how to participate in this new form of buying and selling. But it remains a fragmented Wild West with competing payment protocols, and it’s unclear what enterprises need to do to prepare.  More cloud providers and AI model companies …

Agent coordination is the missing piece in AI commerce — new AWS and Visa blueprints target the gap Read More »

A stealth artificial intelligence startup founded by an MIT researcher emerged this morning with an ambitious claim: its new AI model can control computers better than systems built by OpenAI and Anthropic — at a fraction of the cost. OpenAGI, led by chief executive Zengyi Qin, released Lux, a foundation model designed to operate computers …

OpenAGI emerges from stealth with an AI agent that it claims crushes OpenAI and Anthropic Read More »

Hybrid cloud security was built before the current era of automated, machine-based cyberattacks that take just milliseconds to execute and minutes to deliver devastating impacts to infrastructure. The architectures and tech stacks every enterprise depends on, from batch-based detection to siloed tools to 15-minute response windows, stood a better chance of defending against attackers moving …

Hybrid cloud security must be rebuilt for an AI war it was never designed to fight Read More »

Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inability of agents to truly understand business data, policies and processes. While we manage the integrations well with technologies like API management, model context protocol (MCP) and …

Ontology is the real guardrail: How to stop AI agents from misunderstanding your business Read More »

As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems. Why observability secures the future of enterprise AI The enterprise race to deploy LLM systems mirrors the early days of cloud adoption. Executives love the promise; compliance demands accountability; …

Why observable AI is the missing SRE layer enterprises need for reliable LLMs Read More »

Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run.  Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different context windows. “The core challenge of long-running agents is that …

Anthropic says it solved the long-running AI agent problem with a new multi-session Claude SDK Read More »

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks beyond well-defined problems such as math and coding.  Their framework, Agent-R1, is compatible with popular RL algorithms and shows considerable improvement on reasoning tasks that require …

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks Read More »