Supply chain attacks are shifting from exploits to access reuse. Learn how stolen tokens, SaaS integrations, and fragmented visibility enable data theft without triggering traditional detection.
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
Over the years, enterprise IT execs have gotten frighteningly comfortable having little control or visibility over mission-critical apps, from SaaS to cloud and even cybersecurity. But generative AI (genAI) and agentic systems are taking that problem to a new extreme, with vendors able to dumb down a system IT is paying billions for without so much as a postcard.
It’s not necessarily that AI changes are made to boost profits or revenue. Even if we accept the vendor argument that such changes are in the customer’s interest, companies still need for their systems to do on Thursday what they did on Tuesday, let alone what they did when the purchase order was signed.
Alas, that is no longer the case.
Consider a recent report from Anthropic that detailed a lengthy list of changes the company made to some of its AI offerings — including one that explicitly dumbed down answers — without asking or telling customers beforehand.
The report describes various changes the Anthropic team made on t
AI UI Design for SaaS: What VCs Want in Product Demos
The post AI UI Design for SaaS: What VCs Actually Want to See in Your Product Demo appeared first on Spritle software.
Mario asked me why 18% of his shipments were late when every team hit their target. I built a live simulation, connected an AI agent, and let it investigate.
The post I Simulated an International Supply Chain and Let OpenClaw Monitor It appeared first on Towards Data Science.
It’s quite clear that agentic coding has completely taken over the software development world. Writing code will never be the same. Shoot, it won’t be long before we aren’t writing any code at all because agents can write it better and faster than we humans can. That may already be true today.
But there is more to software development than merely writing code, and those areas—source control, documentation, CI/CD, project management—are ripe for some serious disruption from AI as well. Those areas may well be hit harder than coding itself.
I would imagine that if you were in the business of analyzing data and providing dashboard-level insights into that data, then you would be very worried indeed about what AI is going to do to your value proposition. Much of the SaaS industry is in the business of analyzing existing data, and that is exactly what AI agents can do well. When a simple question can get straight to the heart of what a pricey dashboard provides, then companies have to que
A compromised npm package is only the entry point. The axios incident shows how quickly attackers pivot from code execution to credential abuse, identity misuse, and cloud access.
