If you're looking for a more complete answer to your problem of protecting API keys and other sensitive data, KeyRunner is a good option. It's a zero-trust API client that restricts human access to sensitive data and API keys, thereby decreasing the likelihood of exposure. It's got good data visualization dashboards, secure app-to-app connections, and alerting for proactive problem resolution. It's also got a Playground feature for full testing and integration, so it's a good option for protecting APIs.
Another good option is Nightfall, an AI-native data leak prevention platform that can detect and protect sensitive data in SaaS and cloud applications. It uses machine learning for high accuracy and low false positives, and offers features like data encryption, data exfiltration prevention, and SaaS security posture management. Nightfall supports more than 100 file types and major SaaS applications, so it's a good option for data security and compliance with industry standards.
For developers, GitGuardian has a code security platform that finds and fixes hardcoded secrets in source code. It continuously scans Git repositories for sensitive data and offers tools for real-time detection, remediation and DevOps integrations. The result is a secure software development process that reduces the likelihood of secrets exposure and lets teams collaborate without friction.
Last, Akeyless has a cloud-native SaaS platform that lets you manage secrets securely without having to manage a vault. It uses Distributed Fragments Cryptography to generate encryption keys as distributed fragments in the cloud, so there's no single point of knowledge for decryption. Akeyless also offers automated credential rotation, just-in-time credentials and secure Kubernetes secrets, so it's a good option for secure secrets management.