The principle of least privilege (PolP) is an information security model focused on restricting the number of identities with privileged access to networks, applications, data, programs, and processes to only those who require that access. In identity and access management (IAM), least privilege is applied by determining the minimal access privileges required for every identity and using access controls to manage that access. Privilege is attached to human users as well as non-human identities and is most often assigned based on the user’s job duties or the non-human identity’s role within an application.
Access controls, an essential part of cybersecurity, is the management of who has access to different apps, resources, and, most importantly, data and information stored across an organization’s systems. These security measures can include physical access controls, as well as, technical controls, such as firewalls, intrusion detection systems, and encryption, as well as administrative controls, such as policies, procedures, audits, and user education.
An MCP server is a core component of the Model Context Protocol (MCP)—a framework built to enable AI models like large language models (LLMs) to interact with real-world tools, data sources, and reusable prompts in a standardized way. It’s a foundational part of the growing ecosystem of AI systems designed for dynamic, context-aware interaction and automation.
Agentic AI refers to a new evolution in artificial intelligence—one where AI agents can make context-aware decisions and interact with systems and other agents to complete tasks on behalf of users or organizations. These agents don’t just suggest next steps—they execute them, often without the need for human intervention.
