OpenAI added Security history to ChatGPT on September 25, 2026. The feature gives users a place to review recent sign-ins, sign-outs, and changes to multi-factor authentication, passkeys, and other security settings. OpenAI says some event details may be approximate or unavailable, so the history is best treated as an account-review record rather than a perfect forensic log.

What ChatGPT Security history shows

OpenAI says Security history includes recent account security activity, including sign-ins, sign-outs, and changes to MFA, passkeys, and related security settings. Events can include time, location, and device information.

Where to find Security history

On the web, open ChatGPT Settings, choose Security and login, then select Security history. The feature is intended to make recent account activity easier to inspect after a suspicious sign-in or a security-setting change.

What Security history does not replace

Security history should not be treated as a replacement for every other account-control surface. Review active sessions and connected apps separately, and use the account-security guidance from OpenAI when an event looks unfamiliar.

A practical review workflow

  1. Open Security history and review recent sign-ins and security-setting changes.
  2. Check the event time and device or location details.
  3. Investigate any event you do not recognize.
  4. Review active sessions and connected apps separately.
  5. Change credentials or revoke access when necessary.

Important limitation

OpenAI notes that some Security history details can be approximate or unavailable. Do not assume that a missing detail proves that no activity happened.

Sources

About Deepak Parmar

Deepak Parmar is an SEO and automation expert with 7 years of experience in SEO, AI search, GEO, and web development. He specializes in helping brands improve visibility across Google, ChatGPT, Gemini, Perplexity, and other AI search platforms.

At ToolBoxKart, Deepak writes about SEO, AI, automation, search technology, and practical digital workflows, combining hands-on technical experience with real-world research and experimentation.

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