For enterprise teams, the larger lesson extends beyond one vulnerable image decoder. AI agents are increasingly being given credentials and connectors that span source code, communications and ...

How are AI teams cutting agent spend? Google's Dream-RSI replays saved search history to test new strategies, using up to 162x fewer discovery-agent calls.

For enterprises, it makes a whole lot of sense: their digital storefront, website, content management system, procurement platform, or other business application rarely has a discrete endpoint.

What is AWS pitching for OpenSearch? Retrieval, serverless costs and agent memory — plus what the platform still can't settle about which context an agent should trust.

Microsoft says selected supply-chain workflows subsequently reduced average cycle time by as much as 75%. In five monthly planning cycles measured between April and August 2026, average cycle time ...

RADAR puts RAD Intel’s AI platform into action, helping brands build authoritative content for the way audiences discover, research and make decisions ...

Cohere plans on making the full serving stack used in Model Vault open source so that independent auditors will be able to validate that it doesn't log, export, or leak data.

Four threat teams, one week: machine credentials are now the weapon, the target and the product. Most IAM policies can't tell them from a human login.

Anthropic's bet is that users should no longer have to understand which internal product surface is appropriate before handing Claude that responsibility.

Salesforce's DarwinX evolves the prompts, tools and skills around a frozen model instead of retraining it, taking an AI agent from 43.5% to 93% on browser tasks.

AI agents and RAG workloads challenge enterprise storage, causing failures as they scale. Addressing those problems requires an architectural solution.

Banking software platform brings real-time decisioning, critical communications and governance into a single architectural layer purpose-built for pay ...