HoundDog.ai vs. Privado
HoundDog.ai’s AI-powered code scanner provides a more precise, efficient, and scalable solution for the enterprise.
Category
Product
HoundDog.ai
- ✅ IDE Plugins
- Integrate HoundDog.ai’s IDE extensions (VS Code, IntelliJ, and Eclipse) into your development workflow to proactively detect and remediate PII leaks in real-time before pushing code to source code management platforms.
- ✅ Managed Scans
- Offload scans to HoundDog.ai with seamless integrations into GitHub, GitLab, and Bitbucket, ensuring continuous coverage for sensitive data leaks across all critical repositories. For self-hosted platforms like GitHub Enterprise Server, GitLab Enterprise, and Bitbucket Data Center, the HoundDog.ai Broker enables secure cloud-based analysis with minimal data exposure, allowing organizations to schedule scans and detect risks early.
- ✅ CI/CD Integrations
- Embed the scanner in your CI pipeline to continuously scan code before it merges into the main branch.
- **The GitHub App (compatible with GitHub, GitHub Enterprise Cloud, and GitHub Enterprise Server) lets you push GitHub Actions configurations to selected repositories. You can choose self-hosted runners, set PR blocking rules based on severity, and enable PR comments. Changes can be pushed as direct commits or submitted as PRs for approval.
Privado
- ✅ CI/CD Integrations
- Embed the scanner in your CI pipeline to continuously scan code before it merges into the main branch
Supported Languages
HoundDog.ai
- Java
- C#
- JavaScript
- TypeScript
- SQL
- OpenAPI / Swagger
- GraphQL
- Python
- Kotlin
- Ruby
Privado
- Java
- Python (in Alpha)
- JavaScript (Coming Soon)
- (See documentation for more details)
Detection Coverage & Accuracy
HoundDog.ai
- ✅ Twice the precision, four times fewer false positive alerts.
- Pinpoints code logic handling sensitive data with 2x greater precision than Privado, leading to 4x fewer false positive alerts
- This is achieved by using both AI and advanced code analysis methods, such as interprocedural and taint analysis, to increase true positive detection.
- ** The AI workflow plugs into any LLM model already running in your environment. We never use public LLMs or transmit customer data externally, ensuring full control and compliance with data residency and Zero Trust policies..
- Pinpoints code logic handling sensitive data with 2x greater precision than Privado, leading to 4x fewer false positive alerts
Privado
- ❌ High volume of false positive alerts and missed true positives
- Relies solely on RegEx patterns, significantly reducing precision and lacking critical code analysis, leading to more missed true positives.
Developer Friction
HoundDog.ai
- ✅ Frictionlessly Fast
- HoundDog.ai scanner is frictionlessly fast – scanning more than 10 million lines of code in less than 1 minute.
Privado
- ❌ Prohibitively Slow
- Prohibitively slow scan times – often running out of memory when analyzing any code repository containing more than 1 million lines of code.
Category
HoundDog.ai
Privado
Product
- ✅ IDE Plugins
- Integrate HoundDog.ai’s IDE extensions (VS Code, IntelliJ, and Eclipse) into your development workflow to proactively detect and remediate PII leaks in real-time before pushing code to source code management platforms.
- ✅ Managed Scans
- Offload scans to HoundDog.ai with seamless integrations into GitHub, GitLab, and Bitbucket, ensuring continuous coverage for sensitive data leaks across all critical repositories. For self-hosted platforms like GitHub Enterprise Server, GitLab Enterprise, and Bitbucket Data Center, the HoundDog.ai Broker enables secure cloud-based analysis with minimal data exposure, allowing organizations to schedule scans and detect risks early.
- ✅ CI/CD Integrations
- Embed the scanner in your CI pipeline to continuously scan code before it merges into the main branch.
- **The GitHub App (compatible with GitHub, GitHub Enterprise Cloud, and GitHub Enterprise Server) lets you push GitHub Actions configurations to selected repositories. You can choose self-hosted runners, set PR blocking rules based on severity, and enable PR comments. Changes can be pushed as direct commits or submitted as PRs for approval.
- ✅ CI/CD Integrations
- Embed the scanner in your CI pipeline to continuously scan code before it merges into the main branch
Supported Languages
- Java
- C#
- JavaScript
- TypeScript
- SQL
- OpenAPI / Swagger
- GraphQL
- Python
- Kotlin
- Ruby
- Java
- Python (in Alpha)
- JavaScript (Coming Soon)
- (See documentation for more details)
Detection Coverage & Accuracy
- ✅ Twice the precision, four times fewer false positive alerts.
- Pinpoints code logic handling sensitive data with 2x greater precision than Privado, leading to 4x fewer false positive alerts
- This is achieved by using both AI and advanced code analysis methods, such as interprocedural and taint analysis, to increase true positive detection.
- ** The AI workflow plugs into any LLM model already running in your environment. We never use public LLMs or transmit customer data externally, ensuring full control and compliance with data residency and Zero Trust policies..
- Pinpoints code logic handling sensitive data with 2x greater precision than Privado, leading to 4x fewer false positive alerts
- ❌ High volume of false positive alerts and missed true positives
- Relies solely on RegEx patterns, significantly reducing precision and lacking critical code analysis, leading to more missed true positives.
Developer Friction
- ✅ Frictionlessly Fast
- HoundDog.ai scanner is frictionlessly fast – scanning more than 10 million lines of code in less than 1 minute.
- ❌ Prohibitively Slow
- Prohibitively slow scan times – often running out of memory when analyzing any code repository containing more than 1 million lines of code.
Not all code-based sensitive data protection and privacy compliance platforms are created equal
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Your go-to solution should leverage AI to cut through the noise, reduce the workloads of security and privacy teams, and eliminate developer friction.
Make Privacy-by-Design a Reality in Your SDLC
Shift Left on Privacy. Scan Code. Get Evidence-Based Data Maps. Prevent PII Leaks in Logs and Other Risky Mediums Early—Before Weeks of Remediation in Production.