Data loss prevention (DLP) is a set of tools and processes used to ensure that sensitive data is not lost, misused, or accessed by unauthorized users. DLP software systems classifies regulated, confidential and business critical data and identifies violations of policies defined by organizations or within a predefined policy pack, typically driven by regulatory compliance …
Enterprise DLP solutions represent a crucial means of protecting sensitive information from disclosure — whether intentional or inadvertent — and for identifying sensitive data assets that require such protection. There’s much to consider when it comes to building an enterprise DLP solution, from understanding where your data exists to proper data classification, accounting for shadow …
Managing Key Obstacles to Success in Enterprise DLP Deployments Read More »
Today, it’s a very different story than legacy industrial systems relying upon proprietary protocols and software, which were manually managed and monitored by humans, and had no connection to the outside world; as we see more industrial systems brought online to deliver big data and smart analytics as well as adopt new capabilities and efficiencies …
Securing Operation Technology with Basic Security Protocols Read More »
Introduction IT infrastructure and operations (I&O) Teams are under pressure to quickly adapt to changing business models by adopting new technologies, processes, hierarchies and enabling innovation through an agile, scalable and intelligent infrastructure. We’ll give an overview of what technologies I&O Teams need to integrate, to drive the Future of Infrastructure and Operations Management. IT …
Technologies that will Drive the Future of Infrastructure and Operations Read More »
Introduction Building an effective and comprehensive security awareness program seems like a daunting task to those who are fortunate enough to be responsible for it. There is a lot of information at your fingertips, but how do you turn that information into something useful? Like most security awareness professionals, understanding a program’s critical components and …
Critical Factors in Building a Comprehensive Security Awareness Program Read More »
Introduction The threat intelligence market is composed of vendors that provide technologies and services that allow for the management and curation of threat intelligence (TI). TI technologies are referred to as threat intelligence platforms, which may be sold as stand-alone solutions or as part of a integrated solution. TI services may include monitoring the clear …
Cloud Computing is one of the most implemented methods for developing and delivering enterprise applications currently. It is also the most opted solution for the ever-expanding needs of SMEs and large-scale enterprises alike. As businesses grow and their process technologies improve, there is a growing trend towards companies migrating to the cloud. This process of …
Introduction The phrases “cyber-physical systems,” or “CPS,” and “Internet of Things,” or “IoT,” have distinct origins but overlapping definitions, with both referring to trends in integrating digital capabilities, including network connectivity and computational capability, with physical devices and systems. Examples range from intelligent vehicles to advanced manufacturing systems, in sectors as diverse as energy, agriculture, …
Cyber-Physical Systems Security Is an Opportunity for Security Product Leaders Read More »
Careless user actions are why many cyberattacks are successful. Research shows that with regular security awareness training, midsize enterprises will experience fewer security breaches. Midsize enterprise CIOs can protect company systems and intellectual property by influencing secure behaviour. Security and privacy awareness and training is an important aspect in protecting the Confidentiality, Integrity, and Availability …
Security Awareness: A Cost-Effective Way for Midsize Enterprises to Reduce Risk Read More »
Hyper automation refers to the use of advanced technologies, like artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA), to automate tasks that were once completed by humans. Hyper automation not only refers to the tasks and processes that can be automated, but also the level of automation. It is often referred to …
