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API security focuses on protecting application interfaces from unauthorized access, data exposure, abuse, and flaws in authentication or design.

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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.

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Artificial intelligence (AI) is changing offensive security, but it has not changed the standard that matters most: a finding has to be proven before it becomes useful. AI-assisted tools can read code quickly, generate payloads, summarize attack surfaces, explain unfamiliar APIs, and run repetitive testing workflows at impressive speed. That is a real advantage for security teams. It also

Cybersecurity researchers have flagged a new malware artifact generated using DeepSeek that constructed a novel attack path combining "unrealistic browser-malware concepts with a real browser capability" to turn it into a working ransomware technique that runs entirely inside the browser on both Windows and Android devices

A high-severity security flaw in Langflow, an open-source low-code platform to build artificial intelligence (AI) applications, has come under active exploitation in the wild, according to findings from VulnCheck

Cybersecurity researchers have flagged fresh activity from a China-aligned threat actor known as Webworm in 2025, deploying custom backdoors that employ Discord and Microsoft Graph API for command-and-control (C2 or C&C) communications

Supply chain attackers are not only trying to slip malicious code into trusted software. They are trying to steal the access that makes trusted software possible. Recently, three separate campaigns hit npm, PyPI, and Docker Hub in a 48-hour window, and all three targeted secrets from developer environments and CI/CD pipelines, including API keys, cloud credentials, SSH keys, and tokens. This is

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