Cisco Evolved Programmable Network (EPN) Manager Integrations

Safeguarding against hidden threats through user and entity behavior analytics is crucial for modern security practices. This methodology reveals deviations and covert risks that traditional security systems frequently miss. By streamlining the synthesis of various anomalies into a unified threat, security professionals can enhance their operational efficiency. Utilize sophisticated investigative tools and strong behavioral baselines that are relevant to any entity, anomaly, or potential threat. Implement machine learning to automate the identification of threats, which allows for a more concentrated approach to threat hunting with precise, behavior-driven alerts that support swift assessment and action. Anomalous entities can be swiftly identified without requiring human involvement, resulting in a more efficient process. With a comprehensive selection of over 65 types of anomalies and more than 25 classifications of threats encompassing users, accounts, devices, and applications, organizations significantly improve their capacity to detect and mitigate risks. This synergy of human expertise and machine-driven insights enables companies to substantially bolster their security frameworks. Ultimately, the adoption of these sophisticated capabilities fosters a more robust and anticipatory defense strategy against constantly evolving threats, ensuring a safer operational environment.

Self-service analytics platforms were created to empower users by improving their flexibility and reliance on data. However, this increased flexibility often led to disjointed workflows and a lack of oversight, creating a somewhat disorderly environment for data management. Knowledge Hub addresses these issues by providing a solution tailored for business users while ensuring streamlined governance for IT teams. With its user-friendly browser interface, it automates the process of data transformation, distinguishing itself as the only collaborative data preparation tool currently available. This platform enables business teams to work effectively alongside data engineers and scientists, allowing them to create, validate, and share reliable datasets and analytical models in a customized manner. Importantly, it eliminates the need for coding skills, empowering a broader range of users to engage in data sharing and make informed decisions. Governance, data lineage, and collaborative tasks are efficiently handled through a cloud-ready infrastructure designed to stimulate innovation. Furthermore, its low- to no-code extensibility empowers various stakeholders across the organization to effortlessly transform data, thereby fostering a culture centered on data-driven decision-making. In this manner, Knowledge Hub not only boosts productivity but also cultivates a cohesive strategy for data use across different departments, ultimately leading to better organizational outcomes. Such a comprehensive approach not only optimizes processes but also enhances collaboration among diverse teams.