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AI & Enterprise

AI agents spread, putting corporate security management to test

Artificial intelligence is moving beyond answering questions and making recommendations to performing tasks in the workplace. AI agents can handle routine work such as drafting emails, updating schedules and scheduling social media posts, often by running in a separate virtual private server environment. This can lower barriers to adoption, but it also increases security concerns when agents access sensitive corporate data. Companies and users need to understand risks and prepare safeguards while deciding what services and data access to allow.

AI & Enterprise

AI security battle intensifies as agentic AI reshapes market

Competition in the tech industry is being reshaped around AI agents, and security is increasingly moving with it. Companies including Snowflake are expanding into AI while stepping up security capabilities and governance. Microsoft unveiled an AI agent-based platform for automatically detecting software vulnerabilities and added automated device isolation to its endpoint security product. Workday introduced an independent verification feature for agent deployment, while Cisco strengthened security and governance for local AI agents.

AI & Enterprise

Snowflake boosts enterprise data and AI interoperability features

Snowflake on Monday unveiled interoperability features that let companies use Snowflake data as well as external data lakes and open-system data under a single governance model without moving or duplicating data. The announcement was made at the Snowflake Summit 26 annual conference in San Francisco. The company highlighted the general release of Apache Iceberg v3 and Snowflake support for Iceberg tables, plus Horizon Catalog based on Apache Polaris and new integrations with major platforms.