TechTouch Asia

While organisations are deploying more AI agents than ever, most still can't securely take action across the business without custom integrations, duplicated business logic, and fragmented governance, said Salesforce. The company has responded by significantly expanding Headless 360 , its architectural foundation for the next generation of the Salesforce platform.  Headless 360  transforms every trusted business capability into a reuseable enterprise service that any authorised AI agent, application, or experience can securely consume.  Headless 360 is systematically extending every Salesforce cloud beyond the application, transforming the Salesforce platform from a collection of enterprise applications into reuseable enterprise capabilities that any authorised AI agent can securely discover and use.  Instead of rebuilding integrations for every new AI experience, organisations can securely reuse the business capabilities they've already built on Sal...

By Alex Lei - Senior VP APJ at Saviynt Source: Saviynt. Lei. For decades, enterprise security operated on a simple assumption: grant access once and trust it indefinitely. Once granted, those permissions - for people, applications and systems - were rarely reviewed and almost never removed, because that was the path of least resistance. Security teams call this standing privilege. That model was already showing its age before AI entered the picture. Now, AI agents have made it untenable. Unlike human employees who log in, complete tasks, and sign out, AI agents operate continuously, autonomously, and at scale. They do not simply access data, they traverse it, reason over it, and act on it across multiple systems simultaneously.  An agent with permanent permission to read and change data across an organisation’s core business systems and its cloud storage is no longer just another user. It is a permanent attack surface, a way in that never clocks out. “Ghost” administrators AI agent...

Fragmented data environments, manual data engineering and governance models not designed to scale with the demands of AI‑driven decision‑making are holding back AI operationalisation, said SAS. While AI capabilities have advanced rapidly, the data foundations required to deploy them safely and reliably have not kept pace – leading to delayed projects, increased risk and AI initiatives that struggle to move from experimentation to production. In response, SAS has refreshed  SAS Data Management – a cloud-native portfolio built on the SAS Viya data and AI platform, designed to help organisations prepare, govern and activate data for analytics, automation and AI. By embedding governance, lineage and performance directly into data workflows, SAS enables organisations to scale AI initiatives with confidence, without sacrificing trust or control. New and expanded capabilities include: - AI‑ready data management - Governance by design - Agentic AI and copilots - Cloud‑native analytics acc...