EGUIDE:
In this E-Guide we turn to the Computer Weekly Security Think Tank, a hand-picked panel of cyber security insiders, experts, analysts, and advocates with over a century's worth of collective experience between them, to explore the topic of Security Information and Event Management (SIEM), and Security Orchestration, Automation and Response, (SOAR).
EGUIDE:
Too many privileged accounts can result in access abuse in enterprises.This expert e-guide details which account privileges should be limited to reduce security incidents, how pervasive the risk is, and the challenges associated with privileged accounts.
EGUIDE:
Learn how to improve your enterprise's endpoint security by addressing network access control (NAC), data loss prevention (DLP), and other tools and techniques.
EGUIDE:
Inside this expert e-guide, Johna Till Johnson explores the emerging world of User Behavioral Analytics (UBA) and how it can give you a clear view into what should, and what should not, be going on in your virtual environment. Inside you'll find a breakdown of the features a UBA provides, and a basic deployment plan to get your program running.
EGUIDE:
In this era of nonstop security threats, incident response tools that help automate detection and reaction are now essential. In this expert e-guide, learn how to update your IR process.
EGUIDE:
In this e-guide, CIOs Keith Jennings and Andrew Rosenberg, M.D. share tips on what your organization can do right now to prevent a crippling ransomware attack. They explain new technologies, techniques and past experiences to help improve your healthcare organization's security posture.
EGUIDE:
In this e-guide discover what it means for security for data to be in use, in motion, and at rest; how DLP works in a standalone vs. integrated context; the DLP learning curve; and more.
EGUIDE:
Insider security threats will always exist, but there are steps you can take to limit their impact. Discover how to implement technical access control and authentication to ensure only the right eyes are consuming sensitive data.