API security focuses on protecting application interfaces from unauthorized access, data exposure, abuse, and flaws in authentication or design.
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Background for this topic.
Application Programming Interfaces (APIs) are sets of rules that allow software applications to communicate and exchange data, often enabling functionality across different systems or services. APIs define how requests and responses are structured, making it possible for programs to interact without direct user involvement. In cybersecurity, APIs are commonly exposed over networks as endpoints that handle sensitive operations like data retrieval, user authentication, or transaction processing.
APIs increase the attack surface by exposing endpoints that attackers can target with unauthorized access attempts, injection attacks, or denial-of-service. Common risks include weak or missing authentication, insufficient input validation, and improper rate limiting. Effective API security requires strong authentication protocols (e.g., OAuth), strict input validation to prevent injection, rate limiting to mitigate abuse, and comprehensive logging to detect anomalies. Protecting APIs is critical to prevent data leaks, privilege escalation, and service disruption in interconnected environments.
CyCognito research finds that a third of education sector APIs, web apps and cloud assets are exposed to attack
AI agents promise to automate everything from financial reconciliations to incident response. Yet every time an AI agent spins up a workflow, it has to authenticate somewhere; often with a high-privilege API key, OAuth token, or service account that defenders can’t easily see. These “invisible” non-human identities (NHIs) now outnumber human accounts in most cloud environments, and they have
Marko Elez, a 25-year-old employee at Elon Musk's Department of Government Efficiency (DOGE), has been granted access to sensitive databases at the U.S. Social Security Administration, the Treasury and Justice departments, and the Department of Homeland Security. So it should fill all Americans with a deep sense of confidence to learn that Mr. Elez over the weekend inadvertently published a private key that allowed anyone to interact directly with more than four dozen large language models (LLMs) developed by Musk's artificial intelligence company xAI.