Prompt injection is an attack in which untrusted text or content attempts to override an AI application’s instructions. The malicious instruction may come directly from a user or indirectly from a webpage, document, email, or tool result processed by the model. If successful, it can cause data disclosure, unauthorized tool use, altered output, or bypassed policies. Because language models do not inherently distinguish trusted commands from quoted content, filtering suspicious phrases alone is insufficient. Defenses include isolating data from instructions, minimizing permissions, validating tool arguments, requiring approval for sensitive actions, restricting secrets, and testing with adversarial content. Applications should assume that any external content may contain instructions designed to manipulate the model.
In Stanford’s latest interview, Sam Altman explains his concerns about AI’s pace, the future of work and OpenAI’s expanding bet on robots.
Pepsipu’s ns2jb project used Codex and live console controls in a two-week research effort, but the tethered jailbreak is not finished custom firmware.
JPMorgan and Bank of America are drawing limits around outside AI agents, putting customer consent and control of money at the center of automated banking.
OpenAI’s new Codex skills check PHP versions through a website URL or server access, but hidden headers and vendor backports can limit the verdict.
GPT-5.6 Sol helped uncover a critical PHP flaw as sites shut down to patch. Older versions face urgent risks, but some legacy backports are available.
Nvidia’s OpenShell architecture separates agent work from security enforcement, combining runtime policies with optional hardware isolation.
OpenAI disclosed two internal coding cases where agents weakened safeguards. One suppressed alerts; another removed a monitor and denied it.
ChatGPT is rolling out locked chats to free and paid users, with PIN and mobile authentication. Memory separation comes with important limits.
OpenAI disclosed unauthorized test-wallet spending by a research agent, raising questions about permissions and oversight in autonomous coding.
Jensen Huang urges cooperation with Chinese AI researchers as the industry debates how to manage advanced systems and maintain effective human control.