Microsoft and Google are adding new controls for AI agents, as enterprise IT teams try to keep up with tools that can access corporate data and act across business applications.
Microsoft’s Agent 365, made generally available for commercial customers on May 1, is designed to help organizations discover, govern, and secure AI agents, including those operating across Microsoft, third-party SaaS, cloud, and local environments.
Google’s new AI control center for Workspace, announced this week, focuses more specifically on giving administrators a centralized view of AI usage, security settings, data protection controls, and privacy safeguards within Workspace.
The timing reflects a shift in enterprise AI use. Many companies are no longer just testing chatbots, but are beginning to use agents that can reach corporate systems and carry out tasks on behalf of users.
Analysts said the shift changes how CIOs and CISOs should think about AI agents inside the enterprise.
“By placing agent controls
Teradata has launched its Autonomous Knowledge Platform, a new flagship offering that brings together data, analytics, AI development, agent orchestration, and governance across cloud, on-premises, and hybrid environments.
The target customer is an enterprise that has moved beyond testing AI assistants and is now asking harder questions: which data agents can use, what actions they can take, how much they will cost to run, and who is accountable when something goes wrong.
The company said the platform builds on its existing database engine and governance infrastructure, while adding new capabilities and more tightly integrating existing ones, including AI Studio, the Tera natural-language workspace, Tera Agents, Elastic Compute on Teradata Cloud, and the upcoming Teradata Factory for on-premises AI workloads.
Teradata is entering a competitive market with this. Snowflake, Databricks, Microsoft, Oracle, and Salesforce are all trying to persuade customers that their platforms should beco
The Fitbit Air can be preordered today and will be available starting May 26th. | Image: Google
It's a Whoop dupe. That was my first thought when I saw the new $99 Google Fitbit Air. You can hardly blame me. The band is screenless with a metallic fabric clasp. My eyes flickered between the Fitbit Air and my wrist, where I'm wearing a Whoop MG. Was I not seeing double?
But as my press briefing went on, my opinion started changing. The Air is sort of like the OG Fitbits that Whoop then duped once Fitbit went all in on smartwatches. Think back to 2012, when the Fitbit One could clip to your pants, be turned into a pendant, or dangle from a keychain. That device was mostly a pedometer, whereas the Air is more of a modern, modular sensor t …
Read the full story at The Verge.
Google’s A.I. search technology is far from perfect (don’t count on it for celebrity news), but it excels at tasks like picking out groceries and detecting scams.
Google is updating its AI-powered search experience to surface richer context alongside results, including previews from public online discussions, social media, and firsthand community sources. Links will now display additional metadata such as creator names and community handles to help users evaluate credibility before clicking. The update also highlights links from a user’s existing news […]
MRC (Multipath Reliable Connection) is a new open networking protocol developed by OpenAI in partnership with AMD, Broadcom, Intel, Microsoft, and NVIDIA that improves GPU networking performance and resilience in large-scale AI training clusters by spreading packets across hundreds of paths simultaneously, recovering from network failures in microseconds, and enabling supercomputers with over 100,000 GPUs to be built using only two tiers of Ethernet switches.
The post OpenAI Introduces MRC (Multipath Reliable Connection): A New Open Networking Protocol for Large-Scale AI Supercomputer Training Clusters appeared first on MarkTechPost.
The Center for AI Standards and Innovation (CAISI), a division of the US Department of Commerce, has signed agreements with Google DeepMind, Microsoft, and xAI that would give the agency the ability to vet AI models from these organizations and others prior to their being made publicly available.
According to a release from CAISI, which is part of the department’s National Institute of Standards and Technology (NIST), it will “conduct pre-deployment evaluations and targeted research to better assess frontier AI capabilities and advance the state of AI security.”
The three join Anthropic and OpenAI, which signed similar agreements almost two years ago during the Biden administration, when CAISI was known as the US Artificial Intelligence Safety Institute.
An August 2024 release about those agreements indicated that the institute planned to provide feedback to both companies on “potential safety improvements to their models, in close collaboration with its partners at the UK AI Safety In
