Shruti KaushikCybersecurity companies check AI drafts by saving audit and attestation status with scope and dates, detection results with the named test, research findings with identifiers, and approved incident wording. Web copy, threat posts and security questionnaires are then run through a claim check that flags absolute and unsupported security claims.
Where AI drafts go wrong for cybersecurity companies
Security is a category where absolute language is both tempting and dangerous. Assistants write "stops 100% of attacks", "zero breaches" and "military-grade encryption" without friction. The FTC has warned that AI product claims need substantiation, and a buyer's security team will ask for the evidence. Absolute claims also create a record: if an incident occurs, last year's blog post is read against it.
Threat research adds another failure. A model asked for a write-up of a campaign will produce plausible vulnerability identifiers, actor names and timelines. Research that is invented, even partly, damages the credibility of the real research your team publishes.
Claims an AI draft might invent for cybersecurity companies
These examples are invented for this page to show the pattern. They describe no real company, customer or result.
- "Detects 99.9% of threats" with no named test.
- "SOC 2 Type II certified" when the report covers a different scope or period.
- "Zero breaches in our history" with no approved incident statement.
- "Trusted by three of the largest banks" with no permission to name them.
- A CVE identifier or threat actor name in a research post that the team never confirmed.
The facts cybersecurity companies would save once
A saved fact is one sentence you can stand behind, with its source and date. Anything a draft claims that matches none of them is flagged.
- Each audit or attestation: type, scope, auditor, period, and whether the report can be shared.
- Detection metrics with the named independent or internal test, date and conditions.
- Research findings with identifiers and where they were verified.
- Customers you may name and the wording.
- The approved statement about security incidents.
- Product limits: what it does not detect or cover.
The workflow
- Save audit status and detection results as facts, with security and legal as the owners.
- Draft web copy, research posts and questionnaire answers in your assistant.
- Run the claim check. Paste the advisory or the test report as source text so identifiers and rates are checked against it.
- Send flagged absolute claims and attestation wording to the security lead for sign-off by private link.
- Publish, and keep the approval record with the page or answer.
The method is the one on the draft fact check page: Klype extracts the figures, guarantees, vague authority and stories in a draft, matches each to your saved facts and any source text you paste, flags what it cannot back, and keeps an approval record. It is rule-based, so the same text gets the same answer, and it never publishes or sends anything.
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What the check does not do
It compares claims with the facts you saved and any source text you paste. It does not browse the web, does not verify outside claims and does not replace legal, compliance or editorial review where your work needs it. When it finds nothing checkable, it says nothing was verified, so you still read every draft before it goes out.
Sources
Each source is cited for the single point made above. Klype does not give legal advice; ask your counsel how any rule applies to you.
Common questions
Does Klype validate CVE identifiers?
No. It does not look anything up. A CVE number is a figure the check flags unless it is in your saved facts or the source text you pasted.
Can it help with security questionnaires?
It checks the answers' claims against saved facts. Your security team still owns the answers.
Why cite the FTC for this?
Because the FTC's guidance on AI claims says advertisers need evidence for what their product can do. A security vendor's detection claims fall within the same reasoning.
Where to go next
Read how the check works on the draft fact check page, or try the free post checker without signing up. Related guides: Klype for devtools companies, Klype for AI startups, and Klype for fintech and lending software. The full list is on the hub.