OpenAI Blog
Mar 25
Introducing the OpenAI Safety Bug Bounty program
OpenAI launches a Safety Bug Bounty program to identify AI abuse and safety risks, including agentic vulnerabilities, prompt injection, and data exfiltration.
Understanding prompt injections: a frontier security challenge
Prompt injections are a frontier security challenge for AI systems. Learn how these attacks work and how OpenAI is advancing research, training models, and building safeguards for users.
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OpenAI Blog
Oct 7, 2025
Disrupting malicious uses of AI: October 2025
Discover how OpenAI is detecting and disrupting malicious uses of AI in our October 2025 report. Learn how we’re countering misuse, enforcing policies, and protecting users from real-world harms.
OpenAI Blog
Mar 9
OpenAI to acquire Promptfoo
OpenAI is acquiring Promptfoo, an AI security platform that helps enterprises identify and remediate vulnerabilities in AI systems during development.
OpenAI Blog
Jun 1, 2023
OpenAI Cybersecurity Grant Program
Our goal is to facilitate the development of AI-powered cybersecurity capabilities for defenders through grants and other support.
arXiv AI
Jul 16
Adversarial Prompting Framework for AI Safety Assessment
arXiv:2607. 13453v1 Announce Type: cross Abstract: Artificial Intelligence (AI), especially Generative AI (GenAI), adoption has increased in industries significantly in recent years.
OpenAI Blog
Nov 19, 2025
Strengthening our safety ecosystem with external testing
OpenAI works with independent experts to evaluate frontier AI systems. Third-party testing strengthens safety, validates safeguards, and increases transparency in how we assess model capabilities and risks.
OpenAI Blog
Dec 10, 2025
Strengthening cyber resilience as AI capabilities advance
OpenAI is investing in stronger safeguards and defensive capabilities as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.
arXiv AI
Jun 10
Assessing Automated Prompt Injection Attacks in Agentic Environments
arXiv:2606. 10525v1 Announce Type: cross Abstract: Indirect prompt injection poses a critical threat to LLM agents that interact with untrusted external data, yet automated attack methods--proven effective for jailbreaking--remain underexplored in realistic agentic settings.
OpenAI Blog
Aug 4
Third-party cyber evaluations involving OpenAI models
OpenAI explains recent third-party cybersecurity evaluation incidents and outlines new safeguards to strengthen AI model testing and evaluation.
OpenAI Blog
Mar 11
Designing AI agents to resist prompt injection
How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.
OpenAI Blog
1d ago
Pacing model development in an era of cyber-critical capabilities
OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.
arXiv AI
6d ago
BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
arXiv:2511. 20597v2 Announce Type: replace-cross Abstract: The integration of artificial intelligence (AI) agents into web browsers introduces security challenges that go beyond traditional web application threat models.