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.
Problem: If there are thousands of employees scattered around hundreds of places, how do you keep your organization’s network safe? Solution: You should monitor your employees wherever they’re located, and devise a standard baseline of their behavior through machine learning techniques. By using that information, you can identify anomalies and protect your network from cyberattacks.
The business world is undergoing its most dramatic shift yet with the adoption of digital assets and workforce decentralization representing a huge business opportunity. These changes have led to added endpoints, or devices connecting to the network, and is enabling this transformation. But managing the volumes of these diverse endpoints and geographic locations has grown in complexity.
October was National Cyber Security Awareness Month which is an excellent opportunity to invest in a modern approach to email security awareness. Most companies and organizations conduct security awareness training annually, during onboarding, and after an adverse event. The effectiveness of periodic training varies greatly and depends on organizational culture and structure, leading to unexpected or undesired results.
