Detect and prevent AI vulnerabilities before production deployment
Giskard helps companies test their AI systems for security flaws and business issues like hallucinations and data leaks. It uses advanced red teaming to simulate attacks and find vulnerabilities automatically. This ensures AI models are safe, compliant, and reliable before they go live, saving time and reducing risks.
Continuously generates attack scenarios to detect security vulnerabilities
Prevents issues like hallucinations and inappropriate denials proactively
Enables business experts to set rules and standards easily
Converts findings into test suites to prevent regression issues
Offers flexible on-premise deployment with data protection
This tool is best for:
Explore more niche AI tool websites by clicking on a tag* (works only if it has enough tools).
Giskard can be integrated with these apps and services:
Recent data shows that Giskard has 44.5K monthly visits (-3.2% decrease from the previous month), 44.0% bounce rate, and average 1.64 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 19% of total traffic. SEO performance is shown by 5 tracked keywords, with "giskard" being the top-performing keyword with 2.5K monthly searches. See below for more info.
Monthly Visits
44.5K
Pages per Visit
1.64
Bounce Rate
44.0%
Average Time on Site
32s
| SEO Keyword | Volume | CPC |
|---|---|---|
| giskard | 2.5K | $0.73 |
| chatglm | 30.4K | $1.43 |
| is bayesian machine learning all round about bayes theorem | 110 | - |
| "intelligence artificielle" and "culture" and "'souvraineté culturelle" and "france" | 100 | - |
| what is alternative to ragas for rag evaluation | 100 | - |
| Source | Traffic Share |
|---|---|
| Direct | 37% |
| Search | 45% |
| Social | 6% |
| Referrals | 10% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 19% |
 | 16% |
 | 13% |
 | 7% |
 | 6% |
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