APAC CIOOutlook

Advertise

with us

  • Technologies
      • Artificial Intelligence
      • Big Data
      • Blockchain
      • Cloud
      • Digital Transformation
      • Internet of Things
      • Low Code No Code
      • MarTech
      • Mobile Application
      • Security
      • Software Testing
      • Wireless
  • Industries
      • E-Commerce
      • Education
      • Logistics
      • Retail
      • Supply Chain
      • Travel and Hospitality
  • Platforms
      • Microsoft
      • Salesforce
      • SAP
  • Solutions
      • Business Intelligence
      • Cognitive
      • Contact Center
      • CRM
      • Cyber Security
      • Data Center
      • Gamification
      • Procurement
      • Smart City
      • Workflow
  • Home
  • CXO Insights
  • CIO Views
  • Vendors
  • News
  • Conferences
  • Whitepapers
  • Newsletter
  • Awards
Apac
  • Artificial Intelligence

    Big Data

    Blockchain

    Cloud

    Digital Transformation

    Internet of Things

    Low Code No Code

    MarTech

    Mobile Application

    Security

    Software Testing

    Wireless

  • E-Commerce

    Education

    Logistics

    Retail

    Supply Chain

    Travel and Hospitality

  • Microsoft

    Salesforce

    SAP

  • Business Intelligence

    Cognitive

    Contact Center

    CRM

    Cyber Security

    Data Center

    Gamification

    Procurement

    Smart City

    Workflow

Menu
    • Cyber Security
    • Hotel Management
    • Workflow
    • E-Commerce
    • Business Intelligence
    • MORE
    #

    Apac CIOOutlook Weekly Brief

    ×

    Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

    Subscribe

    loading

    THANK YOU FOR SUBSCRIBING

    Cybersecurity News: AI and ML Suit Up to Fight Threats

    In the field of cybersecurity, a promising area for AI/ML has three fundamental requisites to function. The primary requirement is access to large amounts of data.  

    Cybersecurity News: AI and ML Suit Up to Fight Threats

    By

    Apac CIOOutlook | Wednesday, June 12, 2019

    Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.

    FREMONT, CA: Since their conception, Artificial Intelligence (AI) and Machine Learning (ML) have caused a renaissance in how the technology field is viewed and used. The recent surge in the popularity of AI is a direct result of two crucial factors. Firstly, AI/ML algorithms are computationally thorough. Especially with cloud computing, it is feasible to run these algorithms practically anywhere, anytime. Second, training AI/ML models need massive amounts of data. The availability of big data platforms has upped the performance of AI/ML, making them better than humans in iterative applications.

    In the field of cybersecurity, a promising area for AI/ML has three fundamental requisites to function. The primary requirement is access to large amounts of data. The next factor is to build an efficient pipeline, which processes the samples constantly and effective design models. The third crucial factor is to seek assistance from security domain experts, for the classification of good and bad for provision of insights.

    Defense in depth is the core principle of security. It refers to the possession of multiple layers of security without relying on only one technology. The hype around, which suggests the omnipotence of new AI/ML-powered security endpoints, can be distrusted since it is dependent on the number of layers. For ironclad protection from cyber threats, it is essential to scan all the authentic user accesses and data. In order to scan each file before download, it is necessary to have the capacity to intercept SSL-encrypted networks between the user’s client and the server at the destination.

    See Also: The Cyber Security Review

    Once the known-threat intelligence has been conquered with no available verdict, the realm of unknown-threats, also called zero-day threats, is entered. These threats do not possess known or identifiable signatures. To analyze such risks, a procedure called sandboxing is carried out where the user’s file is quarantined, taking several minutes to detect the threat. 

    Since users prefer instant gratification, an AI/ML model, which is properly trained, will take up only milliseconds to detect threats. A new variety of attacks borrows exfiltration techniques from historical attacks and utilizes exploit kits. AI/ML models can be trained to identify the polymorphic variants to curb the attacks.  

    Check Out: Top Artificial Intelligence Companies

    More in News

    AI's Role in Apac's Digital Transformation Journey

    AI's Role in Apac's Digital Transformation Journey

    Influence of AI on Supply Chain Management

    Influence of AI on Supply Chain Management

    Role of Blockchain in Fostering a Trust-Based Economy

    Role of Blockchain in Fostering a Trust-Based Economy

    Revolutionizing Healthcare Through 5G Technology

    Revolutionizing Healthcare Through 5G Technology

    I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

    Copyright © 2025 APAC CIOOutlook. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy and Anti Spam Policy 

    Home |  CXO Insights |   Whitepapers |   Subscribe |   Conferences |   Sitemaps |   About us |   Advertise with us |   Editorial Policy |   Feedback Policy |  

    follow on linkedinfollow on twitter follow on rss
    This content is copyright protected

    However, if you would like to share the information in this article, you may use the link below:

    https://www.apacciooutlook.com/news/cybersecurity-news-ai-and-ml-suit-up-to-fight-threats-nwid-6441.html