Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In today's fast-paced world of digital transformation, APIs serve as the backbone of modern applications, enabling innovation and efficient data sharing. Nevertheless, the rise in API usage has expanded the attack surface, making solid security protocols essential. This post delves into how the partnership between Salt Security and HCL AppScan API Security is transforming API governance, equipping organizations to actively manage API security through thorough discovery and contextual risk assessment.

The digital age has introduced both immense opportunities and unprecedented challenges for businesses. Data is a powerful asset, yet managing its governance, security, and compliance requires intricate strategies and solutions. Leveraging artificial intelligence (AI) in these areas has become a game-changer in transforming how organizations of all sizes approach their data capabilities.

More than 80% of Fortune 500 companies rely on ChatGPT Enterprise, not just as a productivity tool, but as a platform for building custom GPTs, leveraging knowledge files, and enabling collaboration through Canvas. As AI Agent adoption accelerates across every corner of the enterprise, business users are innovating faster than ever, often without security oversight.

When Amazon Web Services (AWS) initially launched in 2006, it offered the first compute, storage, and database cloud service that developers could build on. Over time, AWS became a fundamental cloud service provider as organizations started migrating to the cloud. As one of the three primary cloud services providers, AWS remains integral to most businesses.

The global Internet of Things (IoT) ecosystem is growing at an unprecedented rate. It’s estimated that by 2030, there will be over 75 billion connected devices worldwide, up from approximately 12 billion in 2020. This massive growth presents significant opportunities, but it also exposes critical vulnerabilities, particularly when it comes to securing these devices.

Your RAG implementation can expose secrets in some unexpected ways. Secure your LLM deployments and scrub knowledge bases to prevent your secrets from leaking.