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Maintained by

Truong (Jack) Luu

Information Systems Researcher

AI Sec Watch

The security intelligence platform for AI teams

AI security threats move fast and get buried under hype and noise. Built by an Information Systems Security researcher to help security teams and developers stay ahead of vulnerabilities, privacy incidents, safety research, and policy developments.

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Daily BriefingSaturday, May 16, 2026

No new AI/LLM security issues were identified today.

Latest Intel

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01

Responsible and safe use of AI

safety
Apr 9, 2026

Large language models (LLMs, AI systems trained on vast amounts of text to predict and generate human-like language) like ChatGPT can help with tasks like drafting and summarizing, but they may produce incorrect information or outdated answers since they rely on patterns in their training data rather than real-time information. To use these tools safely, you should verify important facts with trusted sources, check for bias in outputs, seek advice from qualified professionals for legal or medical decisions, and be transparent about your AI use in work or school settings.

Fix: The source mentions several practices to mitigate risks: enable search or deep research features 'so ChatGPT can pull information from current sources' for up-to-date answers, always double-check critical facts with trusted sources, review outputs carefully for bias, use the thumbs-down button to flag errors, and seek expert review from qualified professionals for legal, medical, or financial matters. Additionally, keep conversation links or logs for transparency about how ChatGPT contributed to your work, and obtain consent before recording or sharing others' data.

OpenAI Blog
02

ChatGPT for managers

industry
Apr 9, 2026

This content is a reference guide showing how ChatGPT can assist managers across ten different job areas, from strategy planning to crisis management. For each area (like hiring, performance reviews, or decision-making), it lists example scenarios and the types of documents or frameworks ChatGPT can help produce. This is a tool overview, not a discussion of AI risks or technical issues.

OpenAI Blog
03

ChatGPT for marketing teams

industry
Apr 9, 2026

This document describes how marketing teams can use ChatGPT, an AI language model, to speed up their work across campaigns, content creation, and performance analysis. ChatGPT helps teams move from initial ideas through drafting and launch by organizing scattered inputs into clear messaging, generating content variations, and summarizing performance data. The tool is most effective when treated as a thinking partner for iterative refinement rather than a one-time solution, with human judgment applied for final decisions.

OpenAI Blog
04

ChatGPT for sales teams

industry
Apr 9, 2026

This document outlines how ChatGPT can assist sales teams by generating helpful outputs for various stages of the sales process, from initial prospecting and research through deal closure. It covers practical applications like creating account briefs, discovery guides, meeting agendas, email sequences, proposals, and objection-handling talk tracks across eight common sales scenarios.

OpenAI Blog
05

Prompting fundamentals

research
Apr 9, 2026

Prompt engineering is the process of designing and refining your input to help ChatGPT give better answers. The document explains that clear prompts work best when you specify what you need, provide relevant context, describe the desired output format, and break complex tasks into smaller steps. There is no single perfect way to write a prompt, so experimentation and iteration help you discover how to use AI most effectively.

OpenAI Blog
06

AI fundamentals

research
Apr 9, 2026

AI is software that recognizes patterns and learns from data to produce useful outputs, with large language models (LLMs, systems trained on large amounts of text to generate and transform language) being a common type you interact with through tools like ChatGPT. Models go through two training stages: pre-training, where they learn general patterns from massive text datasets, and post-training, where they're refined to follow instructions reliably, communicate clearly, and handle sensitive topics carefully through safety checks. Different models are optimized for different tradeoffs, such as reasoning models designed for complex problem-solving versus non-reasoning models built for fast, straightforward tasks.

OpenAI Blog
07

Using custom GPTs

industry
Apr 9, 2026

Custom GPTs are tailored versions of ChatGPT built for specific, repeatable tasks, where you define how the GPT behaves through instructions and can add knowledge (uploaded documents) and tools like web search or data analysis. They work best when you find yourself reusing the same prompts or instructions across multiple tasks, reducing repetition and keeping context consistent. You create a custom GPT by opening the GPT builder in ChatGPT, naming it, writing clear instructions for how it should behave, and optionally uploading files or enabling features like image generation or code analysis.

OpenAI Blog
08

Personalizing ChatGPT

industry
Apr 9, 2026

OpenAI has released features that let you customize how ChatGPT behaves by using custom instructions (settings that tell ChatGPT about your role and preferred communication style) and memory (which stores information you want ChatGPT to remember across conversations). These personalization tools help ChatGPT work more like a reliable teammate by building context over time, so you don't have to repeat the same information every time you chat.

OpenAI Blog
09

Our response to the Axios developer tool compromise

security
Apr 9, 2026

OpenAI discovered that Axios, a third-party developer library (a pre-written code package used to build software), was compromised in a software supply chain attack (where attackers infiltrate widely-used tools to affect many companies at once) on March 31, 2026, and their macOS app-signing process briefly used a malicious version. OpenAI found no evidence that user data or systems were compromised, but is revoking and updating their security certificates (digital credentials that verify software is authentic) and requiring all macOS users to update their OpenAI apps to prevent the risk of fake apps appearing legitimate. As of May 8, 2026, older versions of ChatGPT Desktop (before 1.2026.051), Codex App (before 26.406.40811), Codex CLI (before 0.119.0), and Atlas (before 1.2026.84.2) will no longer receive updates and may stop working.

Fix: Update to the latest versions of OpenAI's macOS apps through in-app update or official links. OpenAI also addressed the root cause by fixing the GitHub Actions workflow misconfiguration: the workflow previously used a floating tag instead of a specific commit hash and lacked a configured minimumReleaseAge for new packages; these have been corrected. OpenAI rotated the macOS code signing certificate, published new builds of all affected macOS products with the new certificate, and worked with Apple to prevent software notarization using the previous certificate.

OpenAI Blog
10

ChatGPT has a new $100 per month Pro subscription

industry
Apr 9, 2026

OpenAI has launched a new $100 per month ChatGPT Pro subscription tier that provides 5x more access to Codex (a tool that helps write code) compared to the $20 Plus plan, designed for intensive coding work. This new tier directly competes with Anthropic's Claude Max subscription at the same price point as OpenAI tries to attract users from rival AI services.

The Verge (AI)
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