Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

APIs are the backbone of modern applications, enabling seamless data exchange between systems. However, the rise of AI agents fundamentally shifts how APIs are utilized. Regular APIs, originally built for deterministic, non-AI use cases, are not inherently designed to handle the complexities and unpredictability of AI-driven applications. Using your regular APIs directly for AI agents or allowing AI agents to integrate without safeguards exposes your systems and data to significant risks.

Data tokenization is a critical technique for securing sensitive information by substituting it with non-sensitive tokens. This process plays a crucial role in data protection, especially in industries handling large volumes of personal or financial information. Here, we explore the top data tokenization tools of 2024 to help organizations find the right solutions for protecting their data.

Snowflake is a leading cloud-based data warehousing platform that offers businesses a secure and scalable data storage solution. Offered in a Software-as-a-Service or SaaS model, with its unique security architecture, Snowflake provides robust protection for sensitive data, making it a preferred choice for enterprises dealing with compliance-sensitive workloads.

Almost 90% of businesses employ Active Directory (AD) in their IT environments to manage user accounts and control access—yet every day, 95 million AD accounts are targeted by cyberattackers. It’s not surprising that AD is a popular target. Attackers can actively exploit user accounts and use them as an entry point to launch lucrative attacks. Find out how you can employ best practices to keep your AD safe from adversaries.