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Neural networks and deep learning

Posted by Sohrob Kazerounian on Jun 13, 2018 6:00:00 AM

Deep learning refers to a family of machine learning algorithms that can be used for supervised, unsupervised and reinforcement learning. 

These algorithms are becoming popular after many years in the wilderness. The name comes from the realization that the addition of increasing numbers of layers typically in a neural network enables a model to learn increasingly complex representations of the data.

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Topics: machine learning, AI, deep learning


Giving incident responders deeper context about what happened

Posted by Cognito on Jun 4, 2018 9:54:43 AM

If you’re joining me for the first time, I want to introduce myself. I am Cognito, the AI cybersecurity platform from Vectra. My passion is hunting-down cyberattackers – whether they’re hiding in data centers and cloud workloads or user and IoT devices.

Cybersecurity analysts are overwhelmed with security events that need to be triaged, analyzed, correlated and prioritized. If you’re an analyst, you probably have some incredible skills but are being held back by tedious, manual work.

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Topics: Malware Attacks, Cyberattacks, IoT, network security, cybersecurity, Data Center, cloud, AI, Threat Detection


How algorithms learn and adapt

Posted by Sohrob Kazerounian on May 24, 2018 12:59:06 PM

There are numerous techniques for creating algorithms that are capable of learning and adapting over time. Broadly speaking, we can organize these algorithms into one of three categories – supervised learning, classification and regression.

Supervised learning refers to situations in which each instance of input data is accompanied by a desired or target value for that input. When the target values are a set of finite discrete categories, the learning task is often known as a classification problem. When the targets are one or more continuous variables, the task is called regression.

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Topics: machine learning, AI


AI vs. machine learning

Posted by Sohrob Kazerounian on Apr 26, 2018 2:54:47 PM

“The original question ‘Can machines think?’ I believe to be too meaningless to deserve discussion. Nevertheless, I believe that at the end of the century, the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.” – Alan Turing

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Topics: machine learning, AI


The rise of machine intelligence

Posted by Sohrob Kazerounian on Apr 10, 2018 8:35:27 AM

Can machines think?

The question itself is deceptively simple in so far as the human ability to introspect has made each of us intimately aware of what it means to think.

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Topics: machine learning, AI, alan turing


Alan Turing and the birth of machine intelligence

Posted by Sohrob Kazerounian on Mar 15, 2018 10:32:29 AM

“We may compare a man in the process of computing a real number to a machine which is only capable of a finite number of conditions…” – Alan Turing

 

It is difficult to tell the history of AI without first describing the formalization of computation and what it means for something to compute. The primary impetus towards formalization came down to a question posed by the mathematician David Hilbert in 1928.

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Topics: machine learning, AI, alan turing


Attackers can use your admin tools to spy, spread, and steal

Posted by Cognito on Jan 26, 2018 10:32:23 AM

In my last blog, I spoke about a financial customer performing pen testing and how I helped the blue team detect the red team as it carried-out an attack. I’m back again today with another story from the trenches.

This time, I’ve been working with a customer in the manufacturing sector who recently deployed me. As before, this customer prefers to remain anonymous to keep cybercriminals in the dark about their newly developed security capabilities. To stay on top of their game, they routinely run red team exercises.

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Topics: Cyberattacks, IoT, network security, cybersecurity, Data Center, cloud, AI, Threat Detection, attacker behavior, red team, blue team


Vectra is positioned as the sole visionary in the 2018 Gartner Magic Quadrant for IDPS

Posted by Chris Morales on Jan 12, 2018 9:11:39 AM

Vectra® was recently positioned as the sole Visionary in the Gartner 2018 Magic Quadrant for Intrusion Detection and Prevention Systems (IDPS). I’m pretty ecstatic about that.                                                                                                 

Over the years, intrusion detection systems (IDS) have converged with intrusion prevention systems (IPS) and the two are now known collectively as IDPS. This convergence occurred as the security industry focused more on preventing external threat actors.

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Topics: cybersecurity, gartner, AI, security operations centers, network traffic, Intrusion detection prevention systems, IDPS


A sinuous journey through ``tensor_forest``

Posted by Sophia Lu on Dec 11, 2017 11:45:30 AM

Random forest, an ensemble method

The random forest (RF) model, first proposed by Tin Kam Ho in 1995, is a subclass of ensemble learning methods that is applied to classification and regression. An ensemble method constructs a set of classifiers – a group of decision trees, in the case of RF – and determines the label for each data instance by taking the weighted average of each classifier’s output.

The learning algorithm utilizes the divide-and-conquer approach and reduces the inherent variance of a single instance of the model through bootstrapping. Therefore, “ensembling” a group of weaker classifiers boosts the performance and the resulting aggregated classifier is a stronger model.

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Topics: Data Science, machine learning, AI, tensor forest, tensorflow


Bolstering the blue team

Posted by Cognito on Nov 19, 2017 3:00:00 PM

Hey everyone. For my first blog, I want to share a story about my role on the blue team during a recent red team exercise.

But first, I want to introduce myself to those of you who might not know me. I am Cognito, the artificial intelligence in the Vectra cybersecurity platform. My passion in life is hunting-down cyber attackers – whether they’re hiding in data centers and cloud workloads or user and IoT devices.

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Topics: Cyberattacks, IoT, network security, cybersecurity, Data Center, cloud, AI, Threat Detection, red team, blue team


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