INFOGRAPHIC:
The key cybersecurity trends expected to shape 2023 run the gamut from the human behind the keyboard to tools embedding machine learning. Here's the lowdown on six trends IT services executives expect to encounter this year.
RESOURCE:
Implementing zero trust requires creating detailed policies and devising certain "hoops" through which those wanting access to critical infrastructure must jump. Not an easy task. Luckily, searchSecurity is here to help. Participate in our IAM research program for access to our guide, Implementing a Zero-Trust Approach to Network Security.
EGUIDE:
Data loss prevention (DLP) products allow organizations to protect sensitive data that could cause grave harm if stolen or exposed. There are six important steps an organization should follow when looking to procure the right DLP products and tools for your enterprise.
EGUIDE:
According to a Verizon Data Breach Report, 55% of insider misuse incidents involved access abuse. Inside this e-guide, security expert Michael Cobb, dives into the risk of privileged access and reveals best practices for securing privileged access.
EZINE:
The online authentication protocols proposed by the Fast Identity Online Alliance face a reality check. As FIDO-ready products ship, what are the implications for enterprises?
WHITE PAPER:
This white paper addresses the need for top-notch mobile security. With the rise of personal devices used in the workplace, security is more important than ever before.
EGUIDE:
As end-user security threats continue to rise, it becomes more crucial for IT pros to have identity and access management tools. However, the tools offered in the identity and access management market are evolving and IT pros need to catch up. In this e-guide, explore the top 4 identity and access management trends shaping the market right now.
EBOOK:
If you're in the market to buy digital certificates, read this guide to learn what features are essential and how to evaluate the available options.
WHITE PAPER:
Many enterprises rely on Hadoop to manage and analyze large volumes of data, and as such, they are looking to deploy the right architecture to optimize compute and storage requirements. The traditional approach is running Hadoop on DAS -- but is there a better way?
