At MixMode, we can’t help but imagine the flip side of all that potential. An increasingly connected cyber landscape means an increased number of potential targets for bad actors. New tech is exciting, but it’s often inherently vulnerable to cyberattacks.
The reality is that most companies and entities are entrusted with sensitive data. As regulations tighten and consumer expectations rise, it is more important than ever to protect data, whenever it is gathered, accessed, shared, or stored. Let’s take a look at a few of the newsworthy data breaches that happened in 2019. Often, studying these cases can inform SecOps teams about what not to do.
This year on the MixMode blog, we have covered headline stories, analyzed every pain point within network security, and shared what we believe to be some of the most innovative solutions to help you analyze network traffic, surface threats and anomalies, and stop attacks using autonomous AI.
In this environment, it’s no surprise that U.S. CEOs rated cybersecurity as their top external concern in a survey conducted by the Conference Board. Those worries are unlikely to fade anytime soon, but 2020 also brings fresh opportunities for proactive measures to secure sensitive information. Here’s what you need to know about the trends that are currently emerging in cybersecurity and how you can make a difference in the future of the field:
The new MixMode & RAVENii whitepaper, “The Evolution of ‘Next-Generation’ Manufacturing and the Need for Network Security,” is a comprehensive look at how third-wave AI is improving modern network security across connected manufacturing networks and beyond.
Consider investing in emerging tech tools that can add a deeper layer of data privacy protection. Artificial intelligence technology, in particular, holds a great deal of promise when it comes to complying with the CCPA and improving the way companies handle data in general.
The cybersecurity provider landscape is cluttered with impossible claims, misrepresentations, and a confusing mix of inconsistent terminology. Worse, every minute you delay making a decision is another minute hackers have to gain access and knowledge about your network.
Alert fatigue is a top pain point in cybersecurity right now. Security operations center (SOC) analysts are chasing an overwhelming amount of false positive alerts taking time away from analyzing and remediating actual security threats. According to a recent study…
Third-Wave artificial intelligence (also known as Wave 3 AI), is making life a whole lot easier for security systems administrators. It seems like we just passed the milestones of incorporating AI into network security. But Dr. Igor Mezic and others in this field have made huge strides in the last year. In his new whitepaper on AI for Network Security, Dr. Mezic describes how Third-Wave AI brings flexibility and intuition into the world of machine learning.
Effective modern network security needs to defend against an unprecedented number of threats. Today’s SecOps teams face both rudimentary hacking attempts and highly sophisticated, targeted attacks that pose serious safety and security risks.
Network Traffic Analysis (NTA) is one of these newer advancements in cybersecurity. NTA allows the analysis of network traffic (hence the name) at a granular, packet-by-packet level.
Not only is artificial intelligence necessary for keeping up with the onslaught of lower-tech attacks, but also, AI is becoming crucial for defending against AI-powered cyberattacks, which are just on the horizon.
Zero-day attacks cost businesses millions of dollars in lost revenue and recovery costs and can cripple a company that is not prepared to respond decisively and effectively.
Artificial Intelligence (AI) and Machine Learning (ML) are often used interchangeably when discussing developments in deep learning. However, there is an important difference between the two that network security professionals will need to understand in order to serve their clientele effectively.
Whether your network analysts are spending too much time on false positives or neglecting to recognize false negatives, when actual cyber threats go unnoticed, fear not. Here are 4 ways to combat false positives and negatives in your network security program.
From Network Detection and Response (NDR) to potentially helping to displace passwords as the user authentication standard, there are many reasons why AI is helping advance modern cybersecurity.
Recently, network detection and response, or NDR, has been established as a key tool for companies seeking to improve their threat response. It’s a relatively new network security strategy which developed in response to perceived shortcomings in existing network security systems. We wanted to help explain what modern network detection and response is, how it …
What is Network Detection and Response (NDR)? A bEginner’s Guide Read More →
850 senior executives from Information Security, Cybersecurity, and IT Operations in seven industries across ten countries were recently surveyed by consulting and technology services firm, Capgemini, in their “Reinventing Cybersecurity with Artificial Intelligence” report. The goal being to understand today’s benefits, complexities, and levels of implementation of AI in cybersecurity across IT (information technology), OT (operation …
AI-Enabled Cybersecurity Is Necessary for Defense: Capgemini Report Read More →
Originally published on 5/20/19 on scmagazine.com, this article by Dr. Peter Stephenson is the first in a four-part series to help enterprise and security professionals discover the tools needed to deploy a next-generation enterprise security stack. As it features MixMode as the true AI system needed for your deception network, we wanted to share the article here on our …
SC Magazine: Beefing Up Your Next Generation Security Tool Set Read More →
“Packetsled provides the enrichment that triggers early warnings and proactive action to prevent breaches.” Dr. Stephenson SC Magazine’s Dr. Peter Stephenson analyzes the best threat hunting platforms in cyber security. Read the full blog here About MixMode MixMode is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. …
Threat Hunting and Endpoints – A Dr. Stephenson tutorial Read More →
