Agentic AI, a new paradigm allowing AI agents to interact with tools dynamically, raises identity security concerns. A taxonomy categorizes AI agents based on three criteria: their interaction method (browser vs. programmatic), deployment location (endpoint vs. remote cloud), and purpose (individual, internal company, or external application). This framework helps identify security measures needed for agentic AI access management. The taxonomy aids organizations in balancing productivity and security while adopting agentic AI effectively.

https://1password.com/blog/an-identity-security-relevant-taxonomy-for-agentic-ai

1Password Annual Report 2025 reveals gaps in enterprise AI security: unsanctioned tools, weak access controls, and compromised credentials. Surveying over 5,000 professionals, the report highlights the widening Access-Trust Gap due to a lack of AI governance amid increasing hybrid work and AI tool usage. Key findings show 73% use AI for work, yet 37% ignore policies; companies lack necessary control measures. Proper governance is imperative for managing AI risks. 1Password offers solutions like Extended Access Management to audit AI tools and enforce policies, helping close the Access-Trust Gap while maintaining productivity.

https://1password.com/blog/the-enterprise-ai-crisis-unsanctioned-tools-and-unenforced-policies

1Password introduces .env file support for secure collaboration on environment variables from the desktop app. This feature securely stores project secrets, simplifies workflows, and eliminates plaintext storage risks. It integrates with AWS Secrets Manager, supports offline access, and prevents credentials from being exposed in Git history. The setup is user-friendly, with no complex configurations needed. 1Password environments aim to improve developer experience and expand support based on user feedback.

https://1password.com/blog/1password-environments-env-files-public-beta