Intelligently adapt your security.
across your identities, applications, and data.
by embedding strong security and best practices into DevOps processes.
by discovering where it is, determining who has access, and guarding it wherever it resides.
Artificial intelligence and machine learning (AI/ML) are important contributors to effective cyber resilience. With the mountains of data generated by security solutions, the use of systems that can analyze behaviors and risk and automate response can significantly increase an organization’s ability to intelligently adapt to vulnerabilities and attacks.
Ensuring data security is a primary component of both cybersecurity and cyber resiliency. This includes data in both structured and unstructured formats. You need to be able to analyze the data you have, as well as glean important insights so you can stay compliant with privacy and other governmental regulations.
Application security begins in your application development process. Testing needs to be scalable, flexible for on-premises or on-demand, and integrate with your DevOps. It should include developer-friendly processes and the code should be easily navigable.
Identity and access management is the ability to manage the “who” (employees, customers) and “what” (devices, services) that access your systems and data. It enables you to develop trusted identities with the right level of access. Knowing the normal patterns of these identities makes it easier to identify when abnormal patterns appear.
Security operations solutions need to enhance the productivity of resources, especially considering the current security talent shortages. Security orchestration, automation, and response (SOAR) systems and security information and event management (SIEM) systems are two important aspects of productive security operations.