The nature of phishing attacks and the role of human error in the problem means that it’s unlikely we can completely eliminate this threat. Implementation of behavioral analytics solutions allow security teams to clearly identify irregular or abnormal behaviors and take action to determine if someone with access is a potential threat.
Our reliance on SaaS across every facet of contemporary business operations has extended accessibility to nearly all enterprise resources. It is critical to properly acknowledge this shift to mitigate the full extent of risk this represents.
It is no secret how important laptops have become in people's lives. With the advent of the powerful internet, laptops have become an essential part of our life—for work, entertainment and business.
There is no question: multi-factor authentication helps protect business-critical resources using password-based authentication. However, how can organizations successfully implement multi-factor authentication for password resets when not every user has a mobile device to verify their identity?
Collecting more data without doing due diligence, getting the right team on the ground, and the right AI or processing tools for that team to use, is a massive gamble. You risk spending a lot of money and creating more security risks, without any of the pay off.
Bolstering resistance to devastating electronic attacks requires organizations to take a resilience-oriented approach to cybersecurity. This article offers guidance on a starting point, viewed through the lens of the people, process, and technology dimensions.
Speech recognition, often called "speech-to-text," is the technique by which a machine or computer software recognizes and analyzes a person's uttered utterances and translates them into text that can be read on a monitor.
Because of a combination of factors related to the increased importance of automation, data protection statutes, and corresponding corporate practices, DevOps, PrivacyOps, and AIOps have taken center stage amongst organizations' strategic goals.
A new approach to management and analysis of unstructured data aims to manage data in-place. In this new paradigm, information governance policies are applied to the original data sources, including the classification, retention, search, analysis, and deletion of documents.
Organizations face the challenge of simultaneously streamlining access to valuable data while securing and protecting it. We can meet this challenge by moving to a data-centric security model. This is a transformation, and it only works if the whole organization gets on board with this operating model.










