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A recent WhiteHat Security survey revealed that more than 70 percent of respondents cited AI-based tools as contributing to more efficiency. More than 55 percent of mundane tasks have been replaced by AI, freeing up analysts for other departmental tasks.
Why The Future of Cybersecurity Needs Both Humans and AI Working Together Read More →
We interviewed MixMode CTO Dr. Igor Mezic to better understand how machines should be protecting themselves with AI, what roles humans play, and how the DoD and the private sector both benefit from rapid innovation in cybersecurity.
CTO Perspective: Machines Protecting Themselves – The Future of Cybersecurity Read More →
IDC, the premier global market intelligence firm, recently released a vendor report on MixMode’s Next-Generation AI Powered network traffic analysis platform. Ritu Jyoti, Industry AI and Automation Analyst wrote the profile. In it, she examines how MixMode’s AI-enabled, multistream security platform empowers security teams to solve the information overload problem by combining and correlating data
IDC Report: MixMode – An Unsupervised AI-Driven Network Traffic Analysis Platform Read More →
Advances in Artificial Intelligence (AI) have led to smarter, more robust network security platforms that are quickly replacing legacy security solutions.
Hacking the Hackers: Adversarial AI and How to Fight It Read More →
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.
Our Top 5 Cybersecurity Insights from 2019 Read More →
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.
Don’t Fall for the Hype – Marketing Myths in Artificial Intelligence for Cybersecurity Read More →
This is the final article in a three-part series on Network Baselining. Read the first two articles in the series here:
1) An Introduction to Baselining Technology
2) How to Create a Baseline for Your Network
How to Use Your Baseline for Network Security Read More →
We separate the parts that are wavelike and we separate the parts that are stochastic. Then, five minutes later we look again and compare what we’ve seen historically and what the AI has predicted to happen to the current state of the network. If they are different, that’s an anomaly detected.
How to Create a Baseline for Your Network Read More →
In October, 2019 a MixMode customer experienced an incident where an external entity attacked a web server located in their DMZ, compromised it, and then pivoted internally through the DMZ to attempt access of a customer database. While the attacker was successful in penetrating the customer’s network, MixMode was able to detect the event before they were successful in penetrating the customer database.
Case Study: MixMode AI Detects Attack not Found on Threat Intel Read More →
Not all Artificial Intelligence is created equal. As we move towards a future where we lean on cybersecurity much more in our daily lives, it’s important to be aware of the differences in the types of AI being used for network security.
Why Unsupervised Machine Learning is the Future of Cybersecurity Read More →
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.
The Difference Between Artificial Intelligence and Machine Learning in Network Security Read More →
The cybersecurity industry is in need of a massive shakeup. Rules-based software has created an exponential increase in false positive security alerts and zero-day threats are on the rise.
Unsupervised AI as a Service: Predictive Intelligence for Cybersecurity Read More →
In the face of intelligent cyber threats, the best defense is to supplement traditional methods with anomaly detection through unsupervised artificial intelligence (AI).
Anomaly Detection with Unsupervised AI in MixMode: Why Threat Intel Alone is Not Enough Read More →
Mixmode’s platform utilizes third-wave, context-aware AI to inform the user of threats (including Zero-Day, and encrypted traffic) on their network, and reduces the rate of false positives in intel and alerts consistently by 90% or more.
How MixMode’s AI Builds Your Network’s Baseline Read More →
Unsupervised artificial intelligence, also known as context-aware or third-wave AI, is notoriously difficult to explain because there lacks an appropriate test to understand just how powerful the intelligence is. The widely known Turing Test for AI testing is no longer the right framework for modern-day AI testing.
Turning the Unsupervised Tables on the Turing Test Read More →
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.
5 Ways AI is Making Cybersecurity Technology Better Read More →
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
Cybercrime Costs to Increase to $3 Trillion by 2021: This Week in AI Read More →
UK Firms Turn to AI for Help with Hacking Over half of businesses in the UK faced a hack just this year, according to Hiscox, up from 40 percent last year. The huge jump in threats is causing business owners in the UK and all over the world to start to pay close attention to
Banks are Employing AI for Cybersecurity Needs: This Week in AI Read More →
Here’s Why It’s Time To Prepare for AI Wielding Hackers “The war against cyber attackers isn’t a fair battle. Companies have to defend against all attacks, while the attackers only have to get through once. And it’s about to get much, much worse,” writes Marie Korolov for Data Center Knowledge, effectively explaining the biggest roadblock for
Hackers are Starting to Use AI: This Week In AI Read More →
What’s the difference between ML and AI in Cybersecurity? Many don’t understand how AI works in terms of cybersecurity, despite most agreeing that it is necessary to implement it going forward. According to a recent survey by Webroot, nearly 75 percent of IT professionals stated they intend to incorporate more artificial intelligence (AI) solutions into their cybersecurity
Machine Learning vs Artificial Intelligence: This Week in AI Read More →