Analysis of Recent TrendCandy Survey Highlights Rising Client-Side Risk, Customer Churn, and API Abuse Guardsquare, the leading provider of mobile application security, today released its analysis of new independent research conducted by TrendCandy, revealing a widening “client-side trust gap” that ...
New in Agent Builder: all new agent chat, file uploads + tool registry
Today, we're expanding what you can do with LangSmith Agent Builder. It’s an big update built around a simple idea: working with an agent should feel like working with a teammate.We rebuilt Agent Builder around this idea. There is now an always available agent (”
Quest Software Introduces Quest Trusted Data Management Platform
Quest delivers data products 54 percent faster through groundbreaking innovation from data model to AI-readiness at the speed and scale that AI demands Quest Software, a global leader in data management, cybersecurity, and platform modernization, today launched the Quest Trusted Data Management Plat...
MSP360 Brings Backup to AWS European Sovereign Cloud
As enforcement of EU regulations such as DORA and NIS2 intensifies and sovereign cloud requirements increasingly appear in public sector and enterprise RFPs, MSP360 (formerly CloudBerry Lab) today announced support for AWS European Sovereign Cloud (ESC) as a backup storage destination in MSP360 Back...
Microsoft says Office bug exposed customers’ confidential emails to Copilot AI
Microsoft said the bug meant that its Copilot AI chatbot was reading and summarizing paying customers' confidential emails, bypassing data protection policies.
World Labs lands $200M from Autodesk to bring world models into 3D workflows
The partnership will see the two companies exploring how World Labs’ models can work alongside Autodesk’s tools, and vice versa, starting with a focus on entertainment use cases.
Indian AI lab Sarvam’s new models are a major bet on the viability of open-source AI
The new lineup includes 30-billion and 105-billion parameter models; a text-to-speech model; a speech-to-text model; and a vision model to parse documents.
AI Is Not a Library: Designing for Nondeterministic Dependencies
For most of the history of software engineering, we’ve built systems around a simple and comforting assumption: Given the same input, a program will produce the same output. When something went wrong, it was usually because of a bug, a misconfiguration, or a dependency that wasn’t behaving as advert...
To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying to see the future, whether through the lens of past experience or the logic of cause and effect, has helped us hunt, avoid being hunted, plant crops, forge social bonds, and in general survive in a world that d...
Just two weeks after the launch of the frontier-grade Claude Opus 4.6, Anthropic has dropped its latest powerhouse: Claude Sonnet 4.6. But don’t let the Sonnet label fool you. Sonnet 4.6 is being hailed as the “Better-Opus” by developers in early access. For the first time, we are seeing a Sonnet-cl...
Upwind Leads in Modern Cloud Security Across Independent Market Signals
Independent analyst recognition, rapid enterprise growth, measurable customer outcomes and investor confidence reinforce Upwind’s position as a runtime-first cloud security leader Upwind, the runtime-first cloud security platform, today announced broad, independent validation of its leadership in th...
New enterprise capabilities are designed to accelerate data movement across distributed AI environments while lowering complexity and total cost As AI drives explosive data growth, enterprises are under increasing pressure to move information quickly and securely across clouds, data centers, and dis...
Google Introduces Jetpack Compose Glimmer: A New Spatial UI Framework Designed Specifically for the Next Generation of AI Glasses
Google is moving beyond the rectangular screen. For over 10 years, Google designers have explored how to build interfaces for transparent displays. The result is Jetpack Compose Glimmer, a design system built specifically for display AI glasses. For devs and data scientists, this is a shift from des...
New research shows 67% already building agentic workflows and 85% expect AI agents to become table stakes within three years. Nylas today released its 2026 State of Agentic AI report, based on a survey of more than 1,000 developers and product leaders building or influencing agentic systems. The res...
SurrealDB Secures $23M Series A Boost, Launches SurrealDB 3.0
SurrealDB Secures $23M Series A Boost, Launches SurrealDB 3.0 to Fix AI Agents’ Memory Problem SurrealDB, the company behind the first multi-model, AI-native database has secured an additional $23 million in Series A funding, bringing the company’s total investment to-date (including seed) to $44M. ...
The move to the country’s leading tech hub follows a year of accelerated growth and 190% enterprise expansion Drata, the leading agentic trust management platform, today announced the opening of its new San Francisco headquarters, signaling a long-term investment in customers, talent, and the trust ...
Inaugural Customer Conference showcases the Kipu Helix Intelligent Operating System, reshaping how behavioral health organizations scale, operate, and deliver care As artificial intelligence redefines what’s possible in healthcare, Kipu brings that transformation directly to behavioral health leader...
Cohere Releases Tiny Aya: A 3B-Parameter Small Language Model that Supports 70 Languages and Runs Locally Even on a Phone
Cohere AI Labs has released Tiny Aya, a family of small language models (SLMs) that redefines multilingual performance. While many models scale by increasing parameters, Tiny Aya uses a 3.35B-parameter architecture to deliver state-of-the-art translation and generation across 70 languages. The relea...
Near-Optimal Sample Complexity for Online Constrained MDPs
arXiv:2602.15076v1 Announce Type: new
Abstract: Safety is a fundamental challenge in reinforcement learning (RL), particularly in real-world applications such as autonomous driving, robotics, and healthcare. To address this, Constrained Markov Decision Processes (CMDPs) are commonly used to enforce...
Hybrid Feature Learning with Time Series Embeddings for Equipment Anomaly Prediction
arXiv:2602.15089v1 Announce Type: new
Abstract: In predictive maintenance of equipment, deep learning-based time series anomaly detection has garnered significant attention; however, pure deep learning approaches often fail to achieve sufficient accuracy on real-world data. This study proposes a hy...