classification

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Published By: AWS     Published Date: Oct 07, 2019
Imperva, an APN Security Competency Partner, can help protect your application workloads on AWS with the Imperva SaaS Web Application Security platform. The Imperva high-capacity network of globally distributed security services protects websites against all types of DDoS threats, including networklevel Layer 3 and Layer 4 volumetric attacks—such as synchronized (SYN) floods and User Datagram Protocol (UDP) floods—and Layer 7 application-level attacks (including the OWASP Top 10 threats) that attempt to compromise application resources. Harnessing real data about current threats from a global customer base, both the Web Application Firewall (WAF) and DDoS protection, incorporate an advanced client classification system that blocks malicious traffic without interfering with legitimate users. Enterprises can easily create custom security rules in the GUI to enforce their specific security policy. In addition, this versatile solution supports hybrid environments, allowing you to manage th
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AWS
Published By: AWS     Published Date: Oct 07, 2019
DigiCert implemented Imperva to protect their hybrid environment. They were already using Imperva’s WAF on-premises to defend against Layer 7 attacks, known threats, and zero-day attacks to rapidly identify the threats that required investigation. By expanding their usage of Imperva, DigiCert was able to extend protection to AWS and maintain their security posture both during and after migration. Imperva’s sophisticated threat detection technology draws upon vast experience in the WAF market. As traffic passes through their network, advanced client classification technology (together with crowdsourcing and IP reputation data) automatically analyzes it to identify and block web application attacks. These include SQL injection, cross-site scripting, illegal resource access, comment spam, site scraping, malicious bots, and other top threats. Granular filters and controls reduce false positives and prevent access from unwanted visitors, while IP address shielding hides the web server’s IP
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AWS
Published By: Forcepoint     Published Date: Oct 03, 2019
In part two of the Unified Data Protection for a Hybrid IT World webinar series, we take a deeper dive into use cases around the challenges that businesses are facing today and how Forcepoint’s solutions meet your data protection needs. Understanding the location of all data, whether at-rest, in-use, or in motion across on-premises and the cloud is essential to keep data safe and secure. This enables companies to identify their riskiest users and behaviors. With Forcepoint, you can automate the identification, classification, and protection of critical data. This webinar explores how companies should rethink data security. Protecting critical data and intellectual property requires a risk-adaptive, dynamic approach, including these three main components. Analytics-Driven Visibility – to gain oversight everywhere users work and collaborate Risk-Adaptive Controls – to eliminate the complexity of policy enforcement Intelligent & Dynamic Automation – to build a better understanding of c
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Forcepoint
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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Intel
Published By: Intel     Published Date: Dec 13, 2018
Robots play a key role in achieving manufacturing efficiencies and reducing labor intensive operations across diverse industries. Traditional machine vision has its limitations, however—typically, it can only conduct defect detection and classification based on fixed rules and work in fixed environments. To add on, the complexity of robotic system design poses challenges for many manufacturers to identify and integrate subsystems from multiple vendors. The future of robot and machine solutions is a production environment where devices, machines, robots, and sensors are interoperable. Find out how NexCOBOT integrates AI-driven vision capabilities into robotics to improve quality and accuracy over traditional machine vision—as well as providing an open and modular solution for users to develop a robot control system that best fits their particular application requirements.
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Intel
Published By: Hewlett Packard Enterprise     Published Date: Nov 01, 2018
3rd party guide to evaluating all-flash storage arrays. DCIG researched the features of more than 80 all-flash arrays for its Storage Array Body of Research. Recognizing that there are multiple market segments for these products, DCIG grouped the products into midmarket, small and midsize enterprise, and enterprise classifications.This guide includes the products that ranked Recommended, Excellent or Good among the enterprise grouping of arrays.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
3rd party guide to evaluating all-flash storage arrays. DCIG researched the features of more than 80 all-flash arrays for its Storage Array Body of Research. Recognizing that there are multiple market segments for these products, DCIG grouped the products into midmarket, small and midsize enterprise, and enterprise classifications.This guide includes the products that ranked Recommended, Excellent or Good among the enterprise grouping of arrays.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
3rd party guide to evaluating all-flash storage arrays. DCIG researched the features of more than 80 all-flash arrays for its Storage Array Body of Research. Recognizing that there are multiple market segments for these products, DCIG grouped the products into midmarket, small and midsize enterprise, and enterprise classifications.This guide includes the products that ranked Recommended, Excellent or Good among the enterprise grouping of arrays.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
3rd party guide to evaluating all-flash storage arrays. DCIG researched the features of more than 80 all-flash arrays for its Storage Array Body of Research. Recognizing that there are multiple market segments for these products, DCIG grouped the products into midmarket, small and midsize enterprise, and enterprise classifications.This guide includes the products that ranked Recommended, Excellent or Good among the enterprise grouping of arrays.
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Hewlett Packard Enterprise
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The information security world is rich with information. From reviewing logs to analyzing malware, information is everywhere and in vast quantities, more than the workforce can cover. Artificial intelligence (AI) is a field of study that is adept at applying intelligence to vast amounts of data and deriving meaningful results. In this book, we will cover machine learning techniques in practical situations to improve your ability to thrive in a data driven world. With clustering, we will explore grouping items and identifying anomalies. With classification, we’ll cover how to train a model to distinguish between classes of inputs. In probability, we’ll answer the question “What are the odds?” and make use of the results. With deep learning, we’ll dive into the powerful biology inspired realms of AI that power some of the most effective methods in machine learning today. Learn more about AI in this eBook.
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artificial, intelligence, enterprise
    
BlackBerry Cylance
Published By: Box     Published Date: Jun 22, 2018
• There are many opportunities for businesses to introduce the concept of paper-free or less intensive paper processes to their organizations. AIIM 2016 Industry Watch research found that “58% of respondents described their inbound handling of content as ad-hoc”. This is not surprising given paper is still fairly dominant in many businesses due to human desire to keep paper in hand for reading, note taking, and still today, signatures. • In this study we take a look the challenges businesses face in relation to: o Digital Transformation of their business operations o Capturing and managing multi-channel inbound content, including paper o Steps taken to automate the information capture process o Use of analytics to enhance the identification and classification of capture information o A look ahead at the next 5 years to understand where businesses are focusing their efforts and funding
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Box
Published By: XpertHR     Published Date: Jun 13, 2018
Your supervisors are where the rubber meets the road for ensuring wage and hour law compliance. What they don’t know could hurt you—which could be a lot! Don’t risk the chance that an isolated misstep, or misinformation, could land you in court. This white paper covers training solutions for avoiding 5 Costly Wage and Hour Mistakes related to: ? Minimum wage ? Overtime ? Equal pay ? Misclassifications ? Working and nonworking time Regulations vary from state to state, and across municipalities, are constantly changing and can be very complex. You play a critical role in ensuring that front-line managers and supervisors have the information, knowledge and support they need to ensure wage and hour compliance. But, chances are, you’re also challenged to stay on top of an ever-shifting wage and hour compliance landscape. We can help. Get the up-to-date information you—and they—need, now, by downloading this free whitepaper from XpertHR.
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compliance training, supervisor training, wage and hour, minimum wage, overtime, flsa, employee classification, exempt, nonexempt, equal pay, working time, independent contractor, meal and rest breaks, compliance, hours worked
    
XpertHR
Published By: IBM     Published Date: Jun 05, 2018
Keeping up with ever changing contract management work is challenging. Governing legal and procurement content is written by thousands of people and applied to hundreds of situations. To stay compliant, organizations employ knowledgeable professionals to analyze every sentence to determine the changes that need to be made to company contracts. The manual process of sifting through these dense, complicated documents is inefficient and prone to error. Watson Compare and Comply is trained on contract specific knowledge and classifications and can streamline contract workflows through semantic understanding. Join Director of Watson Offering Management, Adam Orentrichler, and Chief Data Scientist of SAP Ariba, David Herman, as they discuss how Watson can transform the way your company manages contract governance.
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IBM
Published By: Pure Storage     Published Date: Jan 12, 2018
Interest in machine learning has exploded over the past decade. You see machine learning in computer science programs, industry conferences, and the Wall Street Journal almost daily. For all the talk about machine learning, many conflate what it can do with what they wish it could do. Fundamentally, machine learning is using algorithms to extract information from raw data and represent it in some type of model. We use this model to infer things about other data we have not yet modeled. Neural networks are one type of model for machine learning; they have been around
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learning machines, automated intelligence, scalars, vectors, mathematics, classification, pure storage
    
Pure Storage
Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 28, 2017
DPI software is made to inspect packets at high wire speeds and a critical factor is the throughput and resources required. Keeping the amount of resources that integrated DPI and application classification technology requires low is critical. The fewer cores (on a multi-core processor) and the less on-board memory an engine needs, the better. Multi-threading provides almost linear scalability on multi-core systems. In addition, highly-optimized flow tracking is required for handling millions of concurrent subscribers.
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detection, rate, performance, efficiency, accuracy, encrypted apps, integration, metadata, updates
    
Rohde & Schwarz Cybersecurity
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
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analytics, security, problem solving, creative, data, researching, malware
    
McAfee EMEA
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Encryption technology has enabled much greater privacy and security for enterprises that use the Internet to communicate and transact business online. Mobile, cloud and web applications rely on well-implemented encryption mechanisms, using keys and certificates to ensure security and trust. However, businesses are not the only ones to benefit from encryption.
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anomaly detection, trust modeling, event classification, entity modeling, relationship building, internet scrapers
    
Cisco EMEA
Published By: TriNet     Published Date: Nov 08, 2017
Classifying independent contractors vs. employees and exempt vs. non-exempt employees can be tricky. This white paper outlines what small business owners should know and examines general standards under state and federal law for correct classification.
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TriNet
Published By: Palo Alto Networks     Published Date: Sep 30, 2016
Even with more advanced features and supposed higher throughput than ever before, firewalls are not able to keep up with modern demands or advanced threats. Users are more distributed than ever, and so is data. Threats are changing rapidly, and traditional defense mechanisms that rely on layered security do not work.
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palo alto, enterprise network firewall, custom applications, traffic classification
    
Palo Alto Networks
Published By: IBM     Published Date: Jul 08, 2016
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization’s risk and enhancing security.
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ibm, forrester, data discovery, big data, data, analytics, information governance
    
IBM
Published By: Cisco     Published Date: Feb 23, 2016
As security continues to get more complex Cisco looks at a network visually for secuirty aspects and is not based upon classifications of boundary and segmentation. Putting the 'Network' back in Network Security is an implementation used through: Netflow, Fire & ISE, Beyond Access Control (SGT & TrustSec)
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network management, network secuirty, network optimization
    
Cisco
Published By: Maetrics     Published Date: Oct 08, 2015
Re-evaluating Their Importance Under a New Regulatory Spotlight Every medical device sold into Europe, irrespective of its classification, must have an up-to-date Clinical Evaluation Report (CER) as part of its Technical File.
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Maetrics
Published By: CommVault     Published Date: Jun 10, 2015
Automate the burden of discovery, classification, filtering and policy assignment for virtual machine protection with Simpana® software.
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protection, data, infrastructure, cloud, operation, retention
    
CommVault
Published By: IBM     Published Date: Apr 06, 2015
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization's risk and enhancing security.
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data discovery, data classification, security, risk, ibm
    
IBM
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