Harden provides security and governance tools for AI‑built applications, integrating build‑time and runtime protections directly into the development pipeline. Its platform offers SAST, SCA, AI‑driven taint analysis with automatic remediation on pull requests, plus runtime features like an AI firewall, prompt‑injection guards, and egress controls, all with tamper‑evident audit logs and cost‑capping for AI API usage.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises building AI-driven applications face increasing security and compliance risks, including vulnerable code, prompt injection attacks, uncontrolled data egress, and lack of visibility into AI usage and costs. Traditional security tools are not designed for the dynamic, API‑centric nature of AI workloads, leaving gaps in protection and governance.
Solution
Harden delivers a unified platform that embeds security and governance directly into both the development and runtime phases of AI‑built applications. At build time, it runs static analysis (SAST, SCA) and advanced AI scanning to perform deep taint analysis, automatically remediating identified vulnerabilities on each pull request. At runtime, Harden enforces protection through an AI firewall, egress controls, prompt‑injection guards, and secrets management at the proxy layer, eliminating the need for code changes. The solution is framework‑agnostic and supports bring‑your‑own‑cloud architectures, providing tamper‑evident audit logs and configurable AI API cost caps to help organizations monitor and control usage. Integration is achieved via a frictionless pipeline that plugs into existing development and deployment tools, enabling continuous security without disrupting existing workflows.
Target Audience
Primary customers are enterprise software teams and DevOps organizations that develop and operate AI‑enabled applications, as well as security and compliance officers responsible for governing AI usage.
Features
- Build‑time static analysis (SAST, SCA) with deep taint detection and automatic remediation on every pull request
- Advanced AI scanning that identifies hidden vulnerabilities specific to generative AI models
- Runtime AI firewall and egress controls enforced at the proxy layer to block malicious requests and data exfiltration
- Prompt‑injection detection and mitigation guards to protect against adversarial inputs
- Secrets management integrated at the proxy, preventing credential leakage without code modifications
- Framework‑agnostic, BYOC‑first architecture compatible with any cloud or on‑prem environment
- Tamper‑evident audit logs and AI API cost caps for comprehensive governance and spend control