Enforster AI: AI-Native SAST and Code Security
Enforster AI helps software companies and enterprise teams identify security flaws during development. It is designed for organizations looking to reduce false positives in their security scanning workflow.
At a glance
- Category
- Security
- Best for
- Software companies, Enterprise security teams, Development teams, Startups
- Pricing
- Enforster AI offers a free plan, a Starter plan at $9/month, and a Team plan at $9/user/month with a 100-user minimum. Enterprise pricing is available on request.
- Key use cases
- CI/CD Pipeline Integration, Infrastructure Compliance, Dependency Risk Management, Secret Leak Prevention
- Integrations
- GitHub, GitLab, Bitbucket
- Official website
- www.enforster.ai/
Enforster AI is a static application security testing (SAST) tool that uses large language models to analyze code context and business logic. It is designed to identify complex vulnerabilities and provide remediation code suggestions to developers.
The tool supports individual developers, startups, and enterprise organizations. It supports over 35 programming languages and provides coverage for infrastructure-as-code (IaC) and AI model security.
Beyond vulnerability scanning, the platform includes secret detection, SBOM analysis, and license compliance. It is available as a cloud-hosted SaaS or as an on-premises installation for teams requiring data sovereignty.
Buyers should confirm the minimum user requirements for the Team plan and verify how AI-generated fixes align with their internal coding standards.
Key Features
Uses machine learning to analyze code semantics and business logic to help detect vulnerabilities.
Automated identification of hardcoded credentials, API keys, and sensitive data in repositories.
Configuration scanning for Terraform, Kubernetes, Docker, and CloudFormation.
Software Bill of Materials analysis for dependency tracking and open-source license compliance.
Threat detection and security measures designed to protect AI models from adversarial attacks.
Security testing and monitoring for runtime environments.
Use Cases
Integrating security scanning into the development workflow to detect vulnerabilities during pull requests.
Scanning Kubernetes and Terraform files to identify insecure infrastructure configurations.
Using SCA and SBOM analysis to track third-party library vulnerabilities and license risks.
Scanning repositories to find committed API keys or passwords.
Best For
Integrations
Pricing
Enforster AI offers a free plan, a Starter plan at $9/month, and a Team plan at $9/user/month with a 100-user minimum. Enterprise pricing is available on request.
FAQ
The Starter plan is $9/month for individuals with up to 10 repositories, while the Team plan is $9/user/month with a minimum requirement of 100 users.
The platform supports over 35 programming languages, including Java, Python, JavaScript, Go, Rust, and C++.
Yes, the tool provides an on-premises deployment option for organizations that need control over their data and compliance.
Source category: Security
Source subcategory: Static Code Analysis
