For many organizations, the past several years have been defined by an unending pursuit of data privacy and cybersecurity. Prompted by a daunting threat landscape, new regulatory standards and increasingly onerous consequences, companies invested millions in securing their digital infrastructure as an all-in attempt to meet the moment.
In the day and age of COVID-19 we have witnessed a transformation of the way we work. If I were asked before March of 2020 how long it would take to make the progress in digital and security transformation that we as a society have made in the last 9 months, I would have guessed at least 5 years. The rate of adoption in the face of the pandemic has been unprecedented. Nowhere have the changes required to make remote working come on faster than with education.
“On the Internet, nobody knows you’re a dog” is an adage about Internet anonymity which began as a caption to a cartoon. And it has been perceived that way since then! Who knows who is behind the curtains of internet?
Regulatory authorities are still trying to catch up with cloud computing let alone the revolution that business digitalization is causing as there is no longer a data center to audit or a firewall log to review.
When conducting research for this year’s State of Software Security report, we looked at how “nature” and “nurture” contribute to the time it takes to close out a security flaw. For the “nature” side, we looked at attributes that we cannot change, like application size or age. For “nurture,” we looked at application attributes we can change, like security scan frequency and cadence.
The use of publicly accessible MQTT brokers is prevalent across numerous verticals and technology fields. I was able to identify systems related to energy production, hospitality, finance, healthcare, pharmaceutical manufacturing, building management, surveillance, workplace safety, vehicle fleet management, shipping, construction, natural resource management, agriculture, smart homes and far more.
Just this week, the news broke that a poorly-secured AWS server exposed over 10 million hotel reservation logs from Cloud Hospitality websites, putting the information of millions of guests at risk. As of June 2020, more than 3.2 million consumer records have been exposed in the ten biggest data breaches this year. Organizations in virtually every industry struggle to get data loss prevention (DLP) right due to one big misconception about this important cybersecurity practice.
In our webinar Bad Bots 101: Credential Stuffing Action, we discuss why these attacks are so difficult for businesses to detect and stop. In today’s blog, we cover some of the salient points explored in the webinar by Netacea’s Head of eCommerce Tom Platt, including the common techniques used by sophisticated bad bots to evade traditional methods of detection.
The TARA method provides risk evaluation, assessment, treatment, and planning for identified risks. Learn how to apply this method to the ISO SAE 21434 standard. In our earlier blog posts we covered the ISO SAE 21434 standard, including the organizational cyber security plan as well as the cyber security assurance levels in depth. We will now look at the impact calculation and detailed threat analysis and risk assessment (TARA) coverage within this new standard.
When you take a close look at the Continuous Diagnostics and Mitigation (CDM) function at the heart of a successful cybersecurity program, you quickly realize that it all depends on integration. It isn’t that the individual components of the program aren’t absolutely essential. But with cyber-attacks gaining in number and sophistication, the true power of CDM is in the ability to overlay multiple datasets to create a single lens for tracking, assessing, and responding to threats.
