Claude and ChatGPT are AI assistants you talk to. Claude Code and Codex are coding tools from the same two companies, Anthropic and OpenAI, that can also read your project, change files and run commands. A chat assistant mostly gives advice. A coding tool takes actions, so it needs tighter rules.
TL;DR: Ask yourself one question about any AI tool: can it only talk, or can it also do things on my computer? Talking tools need careful sharing of information. Doing tools need careful limits on what they may touch. Most security mistakes come from mixing the two up.
Definition: coding agent. A coding agent is an AI tool that does more than suggest text. It can open files in your project, edit them, run commands such as tests, and then decide what to do next based on the result.
Why do so many AI names sound alike?
Two companies, Anthropic and OpenAI, each sell several products. Some of those products share a brand name, and that makes the whole area confusing for people who do not code every day.
Here is the simple pattern. Each company has a chat assistant. Anthropic's is called Claude. OpenAI's is called ChatGPT. Each company also has a coding tool. Anthropic's is called Claude Code. OpenAI's is called Codex.
The chat assistant and the coding tool may use the same kind of AI underneath. What changes is the set of things the tool is allowed to do. That is the part that matters for safety.
An analogy helps here. Think of a smart colleague on the phone and the same colleague sitting at your desk. On the phone, they can only tell you what to do. At your desk, they can click buttons themselves.
What does a chat assistant do?
A chat assistant takes your message and writes a reply. You can paste in a piece of code and ask what it does. You can ask how to fix an error message. You can ask for a first draft of a function.
The assistant does not run anything on your machine by default. You read the answer, and you decide whether to copy it into your project. You are the bridge between the answer and your files.
That makes the main risks about information and trust:
- What did you paste in? Code, customer data and passwords should not go into a chat window unless your company has approved that tool for that use.
- Can you trust the answer? Assistants can sound sure while being wrong, including about which software packages exist.
Our post on whether it is safe to paste code or secrets into an LLM chat covers the first risk in more detail.
What does a coding agent do?
Anthropic's documentation describes Claude Code as an agentic coding tool that reads your codebase, edits files, runs commands and connects to your development tools. It is available in a terminal, in code editors, in a desktop app and in a browser.
OpenAI describes the Codex command line tool as a way to inspect code, make changes, run commands and automate repeatable work without leaving your terminal. OpenAI's documentation also lists other places Codex is available, including the ChatGPT desktop app, the ChatGPT mobile app, the ChatGPT website, an editor extension and a cloud version.
Notice the verbs in both descriptions: edit, run, change. Those are actions. A coding agent may make dozens of small decisions in a row without asking you, such as which file to open next or which command to try after a test fails.
That is useful. It saves hours. It also means a mistake, or a trick hidden in a file it reads, can lead to real changes. Security teams call the set of things an agent can reach its blast radius, meaning how much damage one bad step could do.
How do the four tools compare side by side?
This table shows the general pattern. It does not rank the products, and the details vary by plan and settings.
| Question | Chat assistant (Claude, ChatGPT) | Coding agent (Claude Code, Codex) |
|---|---|---|
| Main job | Answer questions, draft text and code | Work inside a project: read, edit, run |
| Touches your files? | Only if you paste or upload them | Yes, in the folders you give it |
| Runs commands? | Not on your computer by default | Yes, often with a permission prompt |
| Who carries the result into your project? | You | The tool, then you review |
| Main security question | What did I share, and is the answer right? | What may it touch, and who checks its work? |
Real products blur these lines. A chat assistant can be given extra tools, and a coding agent can be used like a chat window. So do not rely on the product name. Check the permissions in the settings.
What is MCP, and how does it connect to these tools?
You will also hear about MCP. It stands for Model Context Protocol. The MCP project describes it as an open standard for connecting AI applications to outside systems, and it names AI assistants such as Claude and ChatGPT as examples.
Think of it as a standard plug. A chat assistant or a coding agent can use the plug to reach a calendar, a database, a design file or a security tool. Each thing you plug in gives the AI new abilities, so each one deserves a decision about what it is allowed to do.
If you want a security tool to show up inside your assistant, MCP is usually how that happens. Our post on whether an AI assistant can use a security scanner through MCP walks through the idea.
How should you decide which kind of tool to use?
Use this short sequence when a teammate asks, "Can we use this AI tool?"
- Name the job. Is it answering questions, or changing a project? Write one sentence.
- List what it will see. Source code, test data, customer records, internal documents. Mark anything sensitive.
- List what it may change. Which folders, which commands, which online services.
- Pick the lightest tool that does the job. If a chat window is enough, do not hand out a tool that can edit files.
- Decide who reviews the output. A person should read any change before it ships.
- Write down the settings. Permissions drift over time. A saved note makes the next review easier.
What does a worked example look like?
All numbers below are invented to show the idea.
A small team of 8 developers wants help with a slow report. Option A is to paste the report function into a chat assistant and ask for ideas. Option B is to let a coding agent open the project, change the function and run the tests.
Suppose the team thinks about it like this, with made up scores from 1 (low) to 5 (high):
| Factor | Option A: chat | Option B: coding agent |
|---|---|---|
| Time saved on this task | 2 | 4 |
| Sensitive data exposed | 2 | 3 |
| Chance of an unreviewed change | 1 | 4 |
| Effort to set up safely | 1 | 3 |
For a single function with no customer data, Option A scores low on risk and is quick. For a larger change across many files, Option B saves more time, but the team agrees to start in a mode where the agent asks before each edit, and a second developer reviews the pull request. A pull request is a proposal to change the code that other people can read before it is accepted.
The scores are not science. The point is that the team talked about reach and review before choosing, which is the habit that prevents most problems.
Where does Safeguard fit in?
None of these tools replaces a security check on what ends up in your software. Whether a person, a chat assistant or a coding agent wrote the code, the project still depends on outside libraries, and those libraries can have known flaws.
Safeguard checks the software you build. It scans dependencies, builds a software bill of materials (a list of every component inside an application), uses reachability analysis to show which flaws your code can actually trigger, and can open fix pull requests. Automatic fixes are off by default, and every category starts on Manual, so a person decides when to turn them on.
The Safeguard command line tool also works on your own machine and can write code as well as scan it. Only the scan results leave your machine, not your source code. You can install it from the download page with the curl or PowerShell installer. Safeguard also offers an MCP Guardrail to control what connected AI tools may do.
To see what a scan looks like, try the free scan at gold.safeguard.sh/scan.
Try it yourself
Open the demo below and watch how an AI assistant can be connected to a security tool. Look for what the assistant is allowed to ask, and what it gets back.
Click through it at your own pace, or open it full screen.
Quick check
Is Claude Code the same thing as Claude?
They come from the same company, Anthropic, but they are different products. Claude is an assistant you chat with. Claude Code is a coding tool that, according to Anthropic's documentation, reads your codebase, edits files and runs commands.
Is Codex the same thing as ChatGPT?
No. ChatGPT is OpenAI's chat assistant. Codex is OpenAI's coding tool. OpenAI's documentation lists the ChatGPT apps as one of several places you can use Codex, so the two products are connected but not identical.
Which kind of tool is riskier?
A coding agent has more reach because it can change files and run commands. That does not make it unsafe. It means you should limit what it can touch, keep it asking before risky steps, and review its changes.
Do I need a security scan if I only use a chat assistant?
Yes, if you copy its code into a project. The scan checks the libraries and code that end up in your software, no matter who wrote them.
Sources
- Claude Code overview, Anthropic documentation
- Codex CLI, OpenAI developer documentation
- What is the Model Context Protocol (MCP)?
- Safeguard downloads
- Safeguard CLI
Last reviewed: 19 October 2026.
