Agentless scanning solutions typically have quicker setup and deployment and require less maintenance. They can scan all workloads using cloud native APIs and connects to customer environments with a single org-level connector. If the approach is agent-based, this type of deployment will require ongoing agent installation, update, and maintenance effort.
Vulnerability prioritization is the practice of assessing and ranking identified security vulnerabilities based on critical factors such as severity, potential impact, exploitability, and business context. This ranking helps security experts and executives avoid alert fatigue to focus remediation efforts on the most critical vulnerabilities.
Application security posture management entails continuously assessing applications for threats, risks, and vulnerabilities throughout the software development lifecycle (SDLC).
AI risk management is a set of tools and practices for assessing and securing artificial intelligence environments. Because of the non-deterministic, fast-evolving, and deep-tech nature of AI, effective AI risk management and SecOps requires more than just reactive measures.
SAST (Static Application Security Testing) analyzes custom source code to identify potential security vulnerabilities, while SCA (Software Composition Analysis) focuses on assessing third-party and open source components for known vulnerabilities and license compliance.
Static Application Security Testing (SAST) is a method of identifying security vulnerabilities in an application's source code, bytecode, or binary code before the software is deployed or executed.