Preventing data loss is much like being engulfed in a swarm of mosquitos – a potential data ‘bite’ can come from anywhere at any time. Understanding how and why data loss can occur is essential to building successful Data Loss Prevention (DLP) policies. Here are some of the key challenges that need to be addressed for a successful DLP deployment.

Count Down the 10 Data Classification Mistakes to Avoid Nearly every CISO knows the importance and value of classifying their data. Having a data classification policy in place makes it easier to locate and retrieve data; it’s also a must for any effective data security plan, especially if you’re looking to address any risk management or compliance needs. While data classification is critical to...

In today’s highly regulated environment, achieving compliance across numerous data privacy laws and regulations is a growing challenge for businesses worldwide. In this paper, we identify the key steps to help organizations sensibly adopt a better data protection posture and with it, build a firm foundation towards compliance. This paper includes: How data breaches are driving regulatory change...

Big data, data governance, data management and securing sensitive data – these are everyday challenges for Australian Government organizations, as well as making sure that sensitive data has the right security labelling applied. In this whitepaper we will explore how the Australian Protective Security Policy Framework is helping government agencies. We will examine Protective Markings, what these...

With email the de-facto method of sharing information, government organizations must balance the need to share with the need to protect data from leakage or loss. In an effort to address a problem which is never far from the headlines, the UK Government has revised the requirements in its Government Security Classification (GSC) scheme to ensure information security, privacy and accountability...

Big data, data governance, data management and securing sensitive data – these are everyday challenges for government organizations around the world, as well as making sure that sensitive data has the right security labelling applied. In this whitepaper we will explore how classification and protective marking schemes are helping government organizations better secure data. We will delve into...

There are two types of companies: those that run on data and those that will run on data. Infosec professionals will perennially be challenged with more to do than time, budget, and staffing will allow. The most effective method to address this is through prioritization, and in the case of your growing data, prioritization comes from data classification. In this guide you will learn what...

What’s Inside: The key requirements for successful data protection How we provide the deepest, most unified, visibility of your sensitive data The Fortra Data Protection security architecture and infrastructure This technical overview guide includes our tested and proven requirements for protecting sensitive data, and what makes our technology so unique.

Protecting data in accordance with its value or sensitivity is a critical part of information management and data governance. A data discovery and classification exercise, facilitated by the right technology tools, will enable an enterprise to find its sensitive data, label it with the appropriate sensitivity, and ensure that you can demonstrate regulatory compliance by applying controls and...

Spend less time worrying about your data’s security by spending time with us. During your demo, we will cover: A full run through of Fortra's Classifier Suite , including email and document classification How classification labelling and metadata restricts unauthorized sending The need to classify at a granular level Integration with downstream data protection tools, such as DLP We will show you...

Every day your businesses are creating more and more data. Data gets saved, employees move on, data is forgotten and lost. Valuable information sits on your file servers and document stores, not protected and unrecoverable because no one knows where to find it. Using data classification helps you regain control over your unstructured data. By involving your users in data classification, they will...