NewEvol - Cybersecurity Platform

NewEvol
Cyber Analytics

Empower Your Security Operations with NewEvol Cyber Analytics: Unleashing the Potential of Advanced Security Analytics

Welcome to NewEvol Security Analytics' cutting-edge universe, where intelligence and innovation are combined to protect your digital environment. Our whole range of cybersecurity solutions give you the ability to keep ahead of developing threats by utilizing cutting-edge technologies to secure your digital environment. Discover the world of NewEvol Threat Intel, data analysis tools, and a variety of other features created to protect your digital assets.

NewEvol Security Analytics Platfrom
Why Cyber Analytics

Next-Generation Analytics for Quick and Actionable Insights

Types of data processed & analyzed by NewEvol.

We at NewEvol process and examine a broad range of data to give you a comprehensive security solution. We use data to analyze user activity and network traffic patterns to identify potential threats and anomalies. No effort is spared in the effort to protect your digital assets thanks to our data-driven strategy.

Explore NewEvol Threat Intel's depths as we explore the shadows in search of buried hazards. Our knowledgeable team combs the online environment for information on new threats and weaknesses. With NewEvol Threat Intel, you can strengthen your security and gain a strategic edge by anticipating future breaches.

NewEvol

Cyber Analytics Features

NewEvol Cybersecurity Analytics Features
  • Descriptive Security Analytics Platfrom
    Descriptive Analytics

    Clarity in understanding both the past and the present. With the help of NewEvol's descriptive analytics, you may gain understanding of historical data and identify patterns and trends that are the cornerstone of an effective security strategy.

  • Diagnostic Features of Cybersecurity Analytics
    . Diagnostic Analytics

    Accurately unravel the complexities of threats. With the help of our diagnostic analytics, you may delve further into the analysis to find the fundamental causes of security breaches and highlight their vulnerabilities.

  • Predictive Security Analytics Software
    Predictive Analytics

    Threats should be anticipated and reduced before they materialize. By utilizing predictive analytics, NewEvol gives you the ability to anticipate security breaches, allowing you to take preventative action and safeguard your digital assets.

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Benefits

NewEvol, the Best-of-breed Security Analytics Software, can identify patterns which reduces human efforts to a mere fraction of the time.

Prediction with Machine Learning Analytics

Learns for You

Advanced machine learning techniques are used by NewEvol to foresee attacks and intelligently respond to them. Utilize the power of AI-driven predictions to stay one step ahead of hostile attackers.

Security Analytics Software helps in Intrusion Detection

Intrusion Detection in Real-Time

In the digital age, prompt response is crucial. With the help of NewEvol's real-time intrusion detection system, which recognizes and notifies you of unusual activity, threats are stopped before they become more serious.

Security Analytics Solutions Provides Risk Management Report

Eliminates time-consuming tasks

AI provides curated risk analysis, reducing the time security analysts take to make critical decisions and remediate threats.

Prediction with Machine Learning Analytics

Enhanced Visibility

Using thorough risk management reports from NewEvol, make informed decisions. Our in-depth analyses using it's 2D and 3D algorithms give you a clear picture of your security posture and help you make tactical choices to reduce vulnerabilities.

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Advantages

Cyber Analytics enables organizations to harness the power of advanced AI and ML algorithms. By prioritizing high-risk events and leveraging machine learning analytics, NewEvol Cyber Analytics empowers security teams to detect and respond to threats effectively. Embrace the future of security analytics with NewEvol Cyber Analytics and take proactive measures to safeguard your organization's security.

Best Cybersecurity Operations Features
Supervised Machine Learning with Security Analytics Software

Supervised Machine Learning

Under machine learning and artificial intelligence, SL is a subcategory. It trains algorithms on labeled data sets and makes accurate predictions of outcomes. To produce precise machine learning models, a variety of computation methods and algorithms are used. Spam is categorized in a different folder from your inbox, which is the main use of SL for the organizations.

Our supervised machine learning algorithms can distinguish between legitimate and harmful activity since they are trained on past data. This strategy enables NewEvol to proactively identify and stop threats, reducing the likelihood of dangers.

Unsupervised Machine Learning on Cybersecurity Platfrom

Unsupervised Machine Learning

Learning For data points that are neither classed nor labeled, UL is used to find patterns in data sets. It performs complex processing tasks and frequently functions as a model for generative learning. It finds patterns in the unlabeled data sets that aid grouping without the need for training on previously recorded occurrences.

Unsupervised machine learning techniques developed by NewEvol reveal hidden patterns in data that reveal hazards that had previously gone undiscovered. This technology makes sure that your defenses are resilient against changing threats by adapting to new threat landscapes.

With NewEvol Security Analytics, improve your cybersecurity strategy. We stand out thanks to our devotion to ingenuity, state-of-the-art technology, and steadfast attention to protecting your digital assets. Join us as we build a safe digital future right now.

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Interested in learning more about NewEvol Data lake? Contact our security experts today to schedule a demonstration and see how NewEvol Data lake can help store petabytes of data with faster processing time to perform analytics and threat hunting.

Who it helps?

FaQ’s

Healthcare

Solutions like electronic health records and remote patient monitoring have made hospitals a target for cyber-attackers.

Finance

This industry has always been the prime target of cybercriminals. More than 25% of cyberattacks are aimed at the financial sector only.

Retail

An increase in transactions for e-commerce, online retail, and mobile payments has drawn the attention of cybercriminals to this industry.

Manufacturing

Large-scale IoT devices are used to collect large volumes of data to manage smart factories intelligently. Each of these end-devices increases the number of access points for cyber-attackers to gain access to their respective network.

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