It depends on what your CTF measures. For learning or realistic practice, allow AI assistants and ask teams to disclose how they used them. If you're awarding prizes, screening candidates or running a beginner contest, restrict or ban AI and check the winners. Many organizers split the difference with co-pilot-only rules or separate AI-allowed and AI-prohibited scoreboards.
Key takeaways
- The only wrong AI policy is an unwritten one.
- The five models in use are open, co-pilot only (hybrid), capped, split scoreboards, and banned with validation.
- You can't reliably detect AI-written answers, so enforce through validation (writeups, interviews), not guesswork.
- Test challenges against public assistants before release, favor live, multi-step challenges, and reward reasoning.
Why AI became a rules question
"Use whatever tools you like" used to be a safe default, because tools meant disassemblers, proxies and scripts, and using them well was the skill. General-purpose AI assistants changed that. Paste a challenge description or a decompiled function into a chat window and you often get a useful next step back. On easy challenges, that's sometimes the whole solve.
Three things follow for organizers:
- The scoreboard signal shifts. If AI is allowed, ranking partly measures tool use: a real skill, but maybe not the one your event claims to test.
- Fairness gets a cost dimension. A team paying for premium models has an edge over one on free tiers.
- Easy points inflate. Beginner warm-ups are the most exposed, so tie-breaks matter more.
AI doesn't ruin CTFs, but the AI rule now belongs in your published rules next to flag sharing and team size, as our anti-cheat playbook recommends.
The case for and against allowing AI
Arguments for allowing AI
- It's how the job works now. Many security teams use AI for triage, scripting and research.
- Bans are hard to enforce online. In a remote 48-hour event you can't watch every screen, so an unenforceable ban mostly penalizes honest teams.
- It helps learners. A beginner who asks an assistant to explain a concept, then solves the challenge, has learned something.
Arguments against allowing AI
- It blurs the skill signal. For hiring CTFs, qualifiers and finals, you want to know what the person can do.
- It favors bigger budgets. Paid models and powerful hardware aren't evenly distributed.
- It can short-circuit learning. A fresher who pastes every challenge into a chatbot leaves with points and little understanding.
- Autonomous agents change the event. An agent that reads challenges, runs tools and submits flags on its own isn't a co-pilot. It's another competitor.
Five AI policy options for CTF organizers
AI policies for CTFs generally fall into five models. Pick one deliberately; our CTF rules template has copyable wording for each.
| Policy | What it means | Strength | Weakness | Best for |
|---|---|---|---|---|
| Open | Any AI use is allowed; disclosure encouraged | Simple, realistic, nothing to police | Scoreboard partly measures tool use | Practice rounds, internal training |
| Co-pilot only (hybrid) | Chat assistants allowed; autonomous agents and automated submission banned | Matches how professionals work | The line between co-pilot and agent can blur | Open online CTFs, team benchmarks |
| Capped | AI allowed within limits on spend, hardware or tool type | Levels the field across budgets | Hard to verify; relies on honesty | Student leagues, multi-school events |
| Split scoreboards | Players choose AI-allowed or AI-prohibited at registration | Both groups compete fairly; the gap is visible | Two prize tables, more admin, honesty-dependent | Prize-heavy open events |
| Banned + validation | No AI use; winners prove their solves | Clearest skill signal | Enforcement needs interviews or supervision | Hiring rounds, finals, on-site contests |
Which AI policy fits your event?
- College fest or beginner CTF. Ban AI in the scored round so freshers compete on what they know, and run an open practice round where AI is welcome as a tutor. See our college CTF playbook and the guide to CTFs for high school students.
- Open online CTF. Co-pilot only is the most enforceable middle ground. Publish it with your event details, including on any public listing.
- Prize-heavy open event. Split scoreboards, with most prizes and a validation step on the AI-prohibited side.
- Hiring CTF. Decide what the role needs. Ban AI and validate shortlisted candidates with a walkthrough call, or allow it openly and assess judgment through written reasoning. More in hiring security talent with CTFs and MCQ vs live labs.
- Classroom or training cohort. Open, with a short writeup per solve to show the learning happened. See CTFs for universities and how to write a CTF writeup.
- On-site conference final. Banned, with on-site-only challenges and organizers in the room. See CTFs for security conferences.
Designing challenges that still test people
Rules set expectations; challenge design decides how much they matter. No challenge is "AI-proof", but a few habits keep a board separating strong players from strong prompts:
- Playtest against a public assistant before release and price anything it solves in one pass as a warm-up.
- Favor live, multi-step challenges, including attack-defense and king of the hill formats, and reward reasoning with report-based formats such as Raw Ops.
- Use dynamic flags to stop sharing, not AI solving, and let dynamic scoring absorb the easy solves that remain.
The full checklist, including the AI playtest routine, on-site-only elements and writeup embargoes, is in how to create CTF challenges.
Enforcing an AI policy without guesswork
There is no reliable detector for AI-assisted solving, and a flag looks the same however it was found. Base every action on evidence you can show, and build verification in up front:
- Attestation at registration. A checkbox confirming the player has read the AI rule makes any violation a clear rules breach.
- Disclosure. Under open or hybrid rules, ask teams to note AI use in their writeups.
- Validation for prize winners. A short call where winners walk through two solves is a common check. Announce it in advance so it deters as well as verifies.
- Watch for automation. Agents look different from people: bursts of submissions, regular timing, many challenges in parallel. On CTF7's Standard plan, submission logs give you the data to review. Treat these patterns as a reason to look closer, not as proof.
- A graded, appealable response. Use the same evidence standard, penalty scale and appeal path as for flag sharing. Our code of conduct and the anti-cheat policy checklist show the structure.
A sample AI clause you can adapt
A plain-language co-pilot-only clause. Adapt it to your model and repeat it on the rules page, the registration form and the opening announcement.
AI tools (Hybrid policy)
1. You may use AI chat assistants as a co-pilot: to explain
concepts, read documentation or help write your own scripts.
2. You may not use autonomous agents that read challenges,
run tools or submit flags without you directing each step.
3. The top 3 teams will submit writeups and join a 15-minute
call to walk through two solves before prizes are confirmed.
4. Unsure whether something is allowed? Ask in #help first.For the surrounding rules (eligibility, scoring, tie-breaks, disputes), start from the CTF rules template. Planning the whole event? Read how to host a CTF.
Setting your AI policy on CTF7
A policy only works if players see it and you can review what happened. On CTF7:
- Publish the rules where players will read them. Add your AI clause to a custom event page, and repeat it in an announcement when the event opens.
- Review evidence on Standard. Dynamic flags make each team's flag unique, and submission logs give you timing and volume data to check before a prize is confirmed.
- Score reasoning with Raw Ops. In a Raw Ops event there are no flags to paste: participants submit vulnerability reports that are scored after triage, so explaining impact is the skill being measured.
See pricing to compare Free and Standard, or tell us about your event and we will help you set it up.
Ready to run it? Host your event on CTF7 or see plans and pricing.
Frequently asked questions
Is using ChatGPT or another AI assistant cheating in a CTF?
Only if the event's rules say so. Some CTFs allow AI freely, some allow chat assistants but ban autonomous agents, and some ban AI entirely. If the rules say nothing, ask the organizers in writing.
Can CTF organizers detect AI use?
Not reliably from the flag itself. Organizers rely on attestations, disclosure in writeups, validation interviews for winners, and submission patterns that suggest automation.
What is a hybrid AI policy in a CTF?
A hybrid or co-pilot-only policy lets players use AI chat assistants to explain concepts or help with scripts, but bans autonomous agents that read challenges, run tools or submit flags on their own. Our rules template includes wording for it.
Should a hiring CTF allow AI?
Decide based on the role. If the job expects AI-assisted work, allow it and assess written reasoning. To measure unaided skill, ban it and validate shortlisted candidates with a walkthrough call. State the rule in the invitation.
Do dynamic flags stop AI from solving challenges?
No. Dynamic flags give each team a unique flag, which stops flag sharing and makes leaks traceable, but they don't stop a team from solving a challenge with AI help. Combine them with live, multi-step challenges and validation for winners.
How do I make CTF challenges harder for AI to solve?
Test each challenge against a public AI assistant before release, favor live, multi-step challenges, add on-site-only elements, write fresh content, embargo writeups and reward written reasoning. Dynamic scoring absorbs the easy solves that remain.
