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Today’s security and IT teams are increasingly relying on wire data to better secure their networks. A recent report conducted by network performance and security monitoring vendor VIAVI revealed that more network teams than ever consider wire data the most important data source when confronting security incidents.
While it’s true that having a SIEM is better than forgoing network monitoring all together, a standalone SIEM solution is simply insufficient in today’s cybersecurity landscape. Hackers and other bad actors have become more sophisticated — many of today’s cybercriminals can easily outsmart a standard SIEM setup.
Advances in Artificial Intelligence (AI) have led to smarter, more robust network security platforms that are quickly replacing legacy security solutions.
Knowing the difference between Discriminative and Generative Unsupervised Learning can tell you a lot about the effectiveness of a cybersecurity solution’s artificial intelligence, for example, whether or not that security solution can perform actions like identifying and stopping a zero-day attack.
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
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.
This is the first installment of the three part blog series on creating baselines of network behavior to improve your security stance. Here we will walk you through the basics of baselining technology.
The best way to detect threats across an entire network in the quickest manner is to have complete visibility over every part of that network with a multi-stream platform which can incorporate not only network data, but Cloud Data and SIEM logs as well.
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
Security experts and researchers are harnessing AI and ML to create products and solutions for an industry faced with rising and highly intelligent cybercrime and legacy stacks that leave advanced breaches undetected.
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.
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
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.
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
Recent cybersecurity news, trends, and highlights and how artificial intelligence (AI) is transforming the industry.
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 →
How AI Can Support Cybersecurity Leaders Cybercrime has become somewhat of an epidemic recently, with its impact being felt all over the business world. Attacks have grown more and more sophisticated and have also increased exponentially in volume, becoming a threat too great to ignore. Techradar reports that the UN estimates that 80 percent of …
Cybercrime is Becoming an Epidemic: This Week in AI Read More →
Attacking and Defending with Artificial Intelligence Often when discussing Machine Learning and AI in the cybersecurity space, we focus on the potential defense capabilities of AI systems. However, it’s time we start paying attention to the other side as well, as hackers begin to arm themselves with similar technologies. Industry practitioners believe that we will …
Silicon Valley Has Let Its Cybersecurity Guard Down According to an article by Brian O’Keefe for Fortune Magazine, Silicon Valley isn’t paying enough attention when it comes to threats posed by state-sponsored hackers. At least, that was the conclusion a group of cybersecurity experts came to in a discussion at the Fortune Brainstorm Tech conference in Aspen, Colo., on …
Silicon Valley Needs to Step up Their Security: This Week in AI Read More →