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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


WannaCry still lingering

Posted by Kevin Moore on Aug 24, 2017 10:44:29 AM

Attacks never really go away

Many enterprise organizations are currently evaluating the Vectra Cognito platform, and over the past weeks, several customers detected WannaCry attacker behaviors. Just because the headlines stopped, doesn’t mean that the attack did.

WannaCry was first reported by the media in May of this year and we had customers who detected and responded to outbreaks within minutes. A couple of days after the initial impact, it was reported that stopping the WannaCry command and control server limited the effectiveness of WannaCry in the wild. While that may have been be true, organizations are still detecting instances of WannaCry within their enterprise networks. While this is a smaller scale than the attack in May, it is important that enterprises continue to monitor their networks for what is proven to be a fast propagating ransomware attack with the potential to cause damage very quickly. 

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Topics: Ransomware, AI, WannaCry


Goldeneye. Petya. WannaCry. It's all ransomware.

Posted by Chris Morales on Jun 27, 2017 5:46:22 PM

We are seeing another outbreak of ransomware that appears to be a combination of previous other ransomware campaigns. As is always the case, criminal gangs learn from each other.

Petya was successful in 2016 using email attack campaigns and a ransomware-as-a-service business model. Wannacry introduced new worm propagation techniques proving highly successful in hitting thousands of systems in a short time span last month.

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Topics: Cyberattacks, cyber security, Ransomware, AI, WannaCry, petya, goldeneye


How AI detects and mitigates cyber attacks in software-defined data centers

Posted by Chris Morales on Jun 22, 2017 7:47:16 PM

Earlier this month Vectra announced plans to leverage the capabilities of VMware NSX to accelerate the detection and mitigation of hidden cyber attackers in virtualized data centers.

Vectra currently applies artificial intelligence to automatically detect attacker behaviors inside virtualized data centers. Vectra also integrates with endpoint and network response tools to automate the workflow.

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Topics: Cyberattacks, cyber security, Datacenter, AI


A behind-the-scenes look at how cybercriminals carry out attacks inside enterprise networks

Posted by Chris Morales on Jun 13, 2017 5:16:09 PM

Vectra Networks last week published the 2017 Post-Intrusion Report, which covers the period from January through March. While there are plenty of threat research reports out there, this one offers unique insights about real-world cyber attacks against actual enterprise networks.

Most industry security reports focus on statistics of known threats (exploits and malware families) or give a post-mortem look back at breaches that were successful. The first one looks at threats that network perimeter defenses were able to block and the second lists attacks that were missed entirely. 

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Topics: Cyberattacks, cyber security, Security Analytics, AI


Vectra detection and response to WannaCry ransomware

Posted by Chris Morales on May 16, 2017 8:59:36 AM

Vectra Threat Labs analyzed the WannaCry ransomware to understand its inner workings. They learned that while the way it infects computers is new, the behaviors it performs are business as usual.

WannaCry and its variants behave similarly to other forms of ransomware that Vectra has detected and enabled customers to stop before experiencing widespread damage. This is a direct benefit of focusing on detecting ransomware behaviors rather than specific exploits or malware. Many of WannaCry’s behaviors are reconnaissance and lateral movement on the internal network, within the enterprise perimeter.

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Topics: Cyberattacks, cyber security, Ransomware, cyber security gap, AI, cyber defense, WannaCry


Fighting the ransomware pandemic

Posted by Chris Morales on May 12, 2017 5:00:14 PM

What just happened?

A ransomware attack is spreading very rapidly among unpatched Windows systems worldwide. This morning, the attack was initially believed to target the UK National Health Service, but throughout the day, it has become apparent this is a global attack.

Kaspersky labs reported on Friday afternoon that at least 45,000 hosts in 74 countries were infected. Avast put the tally at 57,000 infections in 99 countries. All this, during just 10 hours. Of those infected hosts, Russia, Ukraine and Taiwan were the top targets.

Read More »

Topics: Cyberattacks, cyber security, Ransomware, Threat Labs, AI, Attacker Detection, threat research, bitcoin, Windows vulnerability, attacker behavior, shadow brokers


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