Why securing AI is harder than anyone expected and guardrails are failing | HackAPrompt CEO
Published December 21, 2025
At a glance
Views
20,974
Likes
389
Comments
61
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
Sander Schulhoff is an AI researcher specializing in AI security, prompt injection, and red teaming. He wrote the first comprehensive guide on prompt engineering and ran the first-ever prompt injection competition, working with top AI labs and companies. His dataset is now used by Fortune 500 companies to benchmark the…
- Published
- December 21, 2025
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Why securing AI is harder than anyone expected and guardrails are failing | HackAPrompt CEO is doing
It has 20.9K views in total. It ranks #13,673,187 among tracked YouTube videos by views.
Key facts about Why securing AI is harder than anyone expected and guardrails are failing | HackAPrompt CEO
- Total views
- 20.9K
- Total likes
- 389
- Total comments
- 61
- Published
- December 21, 2025
- Global rank by views
- #13,673,187
Frequently asked questions
How many views does Why securing AI is harder than anyone expected and guardrails are failing | HackAPrompt CEO have?
Why securing AI is harder than anyone expected and guardrails are failing | HackAPrompt CEO has 20,974 views, 389 likes and 61 comments, ranking #13,673,187 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.