This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Assessing the risks involved in using the latest technology is something our culture had to adopt in the early days of the computer. New technologies come with risks — there’s no denying that. military officials hired dataanalysts to crack the Japanese secret code known as JN-25. The Creeper Virus (1971).
Huge arrays of unstructured data utilized and modified by many users as well as the ever-growing complexity of attacks, lead to the fact that the usual means of protecting the perimeter of a corporate network no longer meet current information security requirements. DLPs are often focused on checking data that crosses the perimeter.
However, as manual track down of threats is impossible, due to sheer volumes of data, analysts use an automated form of software that assists them in collecting, analyzing and sharing information with the teams to ensure identity and prevention of harm from attacks.
As we understand more about data security and, even more so, as data becomes more fluid, complex and dynamic, it’s critical to reevaluate what constitutes strong data protection. Up until very recently, traditional datatechnologies didn’t have strong security controls in place.
The ideas will cover multiple aspects of InfoSec, from organizational structure to technology. Technology. In the next 15-30 years we’ll see a move from wizardry to accounting—and a much more Operational Technology approach to the discipline in general. Technology. Introduction. Org Structure. Regulation.
It is a highly demanding activity, which requires time, multidisciplinary skills, efficient technology, innovation and dedication. We have been doing so since 2008, benefiting from Kaspersky’s decades of cyberthreat data management, and unrivaled technologies. But why are we offering cyber threat intelligence at all?
We organize all of the trending information in your field so you don't have to. Join 28,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content