OpenAI releases Safety Usage Dashboard on API platform
OpenAI has released a Safety Usage Dashboard on its API platform, providing developers visibility into blocked Responses API requests. The dashboard surfaces data segmented by `safety_identifier` values, which are per-request fields used to identify end users. This gives API customers a new operational tool for monitoring safety-related enforcement against their user base.
Related guides (3)
Related events (8)
OpenAI adds Admin API capabilities for spend alerts, model allowlists, and billing
OpenAI released new Admin API features enabling enterprise administrators to manage spend alerts, model allowlists, data retention settings, and hosted tool permissions. The update also adds querying of granular billing line items. These additions expand programmatic control for organizations deploying OpenAI at scale.
An update on our safety & security practices
OpenAI published an update on its safety and security practices. The post appears to be a high-level overview of the company's current approach to model safety and security. As a Tier 1 source announcement, it likely covers internal safety processes, red-teaming, or policy commitments, though the body text is minimal.
OpenAI Safety Practices Update
OpenAI published a safety update reaffirming its commitment to responsible development and deployment of AGI. The post is a high-level statement from a Tier 1 lab on its safety posture. The body excerpt is brief and does not detail specific new policies, evaluations, or technical measures.
New Tools and Features in the Responses API
OpenAI announced new tools and features for its Responses API, expanding the capabilities available to developers building on the platform. The update likely includes additional built-in tools, improved function calling, or new modalities accessible through the API. As a Tier 1 source announcement, this represents a meaningful expansion of OpenAI's developer-facing infrastructure. Specific details were not available in the body text provided.
OpenAI Introduces Enterprise-Grade Features for API Customers
OpenAI announced expanded enterprise capabilities for API customers, including enhanced security features and controls, updates to the Assistants API, and new cost management tools. The announcement targets enterprise adoption by addressing common organizational requirements around security, compliance, and budget oversight. No specific model capability changes are described.
Anthropic launches Transparency Hub with safety metrics and governance documentation
Anthropic launched a Transparency Hub consolidating documentation on model evaluation methodologies, platform abuse enforcement, internal governance, societal impact assessment, and safety research. The hub includes a first periodic report covering banned accounts, appeals, NCMEC reports, and government requests. The initiative is framed as a unified response to fragmented transparency requirements across regulatory frameworks and voluntary commitments, with plans for ongoing expansion.
OpenAI Releases Teen Safety Policies for Developers via gpt-oss-safeguard
OpenAI has published prompt-based teen safety policies targeting developers who build on its models, specifically leveraging the gpt-oss-safeguard model to moderate age-specific risks. The release provides structured guidance and tooling for filtering or adjusting AI outputs in contexts where minors may be users. This represents an extension of OpenAI's safety infrastructure into the developer-facing layer, addressing regulatory and reputational pressure around youth-facing AI deployments.
OpenAI Reports Progress with US CAISI and UK AISI on AI Safety and Security
OpenAI has published an update on its ongoing partnership with the US Cyber and AI Safety Institute (CAISI) and the UK AI Safety Institute (AISI). The collaboration focuses on strengthening AI safety and security practices. The announcement signals continued institutional engagement between OpenAI and government AI safety bodies in both countries.