CIOAdvisor Apac

  • Home
  • Vendors
  • News
  • Conference
  • Whitepapers
  • Newsletter
  • Subscribe
  • About Us
  • Specials

  • Menu
      • Ad Management
      • Application Security Testing
      • Artificial Intelligence
      • BPO
      • Contact Center
      • Data Analytics
      • Deep Learning
      • Digital Marketing
      • Digital Transformation
      • Disaster Recovery Services
      • Disinfection and Sanitization
      • E-Invoicing
      • Ecommerce
      • Govt Tech
      • HubSpot
      • Human Resource
      • ICT
      • IoT
      • Laser and Photonics
      • Leadership Development
      • Logistics
      • Machine Learning
      • Marketing Technology
      • Mobile Application
      • Parking Management
      • Payment And Card
      • SDN
      • Telecom
  • Digital Transformation
  • Logistics
  • IoT
  • Payment And Card
  • Artificial Intelligence
Specials
  • Specials

  • Ad Management
  • Application Security Testing
  • Artificial Intelligence
  • BPO
  • Contact Center
  • Data Analytics
  • Deep Learning
  • Digital Marketing
  • Digital Transformation
  • Disaster Recovery Services
  • Disinfection and Sanitization
  • E-Invoicing
  • Ecommerce
  • Govt Tech
  • HubSpot
  • Human Resource
  • ICT
  • IoT
  • Laser and Photonics
  • Leadership Development
  • Logistics
  • Machine Learning
  • Marketing Technology
  • Mobile Application
  • Parking Management
  • Payment And Card
  • SDN
  • Telecom
×
#

CIO Advisor APAC Weekly Brief

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

Subscribe

loading
  • Home
  • News
Editor's Pick (1 - 4 of 8)
left
Big Data & Insights:Oil for the Digital Age

Radhika Venkatraman, SVP-CIO, Network & Technology, Verizon

Big Data Analytics and Audience Location Targeting

Greg Isbister, Chief Executive Officer, Blis

Visualize the Correlation of Variety of Big Data

Suresh Acharya, VP, Product Development, JDA Software

Emphasize on Big Data Visibility for Network Security

Scott Robertson, Vice President , APAC, WatchGuard

The Science behind Big Data

Eric Haller, EVP & Global Head-DataLabs, Experian

For major firms, mass of data should be rocket fuel, not dead weight

Victor Nilson, SVP, AT&T

Using Hadoop as an Analytics Catalyst

Paul Kent, VP-Big Data, SAS

Using Big Data Analytics to produce high-quality Big Data Storage

Andrei Khurshudov, Chief Technologist, Seagate Technology

right

THANK YOU FOR SUBSCRIBING

How Bigdata and Machine Learning can prevent cyber breaches

CIOAdvisor Apac | Friday, September 27, 2019
Tweet

Big DataEvery year there are thousands of breach reports, that result in billions of records of crucial data being exposed. With prominent adoption of Internet of Things (IoT) and BYOD in companies, there has been an increase in cyber attacks also. But the solution to this problem is also provided by technology itself. Using big data and Artificial intelligence tools like machine learning can help predict suspicious activities and vulnerabilities.

Bigdata

Big data enables automated risk management, threat visualization, and predictive analytics. By leveraging big data technology’s capability of processing high volume and variety of data with high velocity, companies can defend themselves from attacks by understanding their vulnerabilities and also behavioral patterns to help security operations spot anomalies.

Major anti-virus and cybersecurity vendors use big data to train their systems on the massive volumes of malware and known attack paths that they have previously collected. This enables companies to identify patterns to spot attacks that have never been seen before.

Using big data, penetration testing can be simulated. It is malware attack against a company’s computer systems and network to check for exploitable vulnerabilities. It is a mock-drill exercise to test the capabilities and existing analytics solutions. Penetration testing has become essential to protect IT infrastructure and business data.

Machine learning

ML is used to introduce intelligence to an organization’s first level of defense against cyber threats to all major categories of security tasks like prediction, prevention, detection, response, and monitoring. Feeding the vast pools of data collected by companies into machine learning algorithms, it can detect the root cause of the attack and also fix those detected anomalies in the network.

Blockchain

All the data stored on blockchain can be neither manipulated nor erased by design. The decentralized quality of blockchain dramatically increases the cost of breaching blockchain-based networks, hackers no longer can find a single point of entry or can they access any repositories of data in case they do get in.  This feature of blockchain is the main reasons why enterprises are now considering it as a data privacy solution.

Blockchain technology is used to attain real-time secure data transmissions and also ensure timely communication between devices.

Hackers can get access to the connection between website name and IP address. They can use the company’s websites, divert people to scam websites, or just suspend the website. The current solution to such issues is to tail log files and enable real-time alerts for suspicious activities.

Because Blockchain is decentralized, it will be difficult for hackers to exploit single points of vulnerability. Company’s domain information can be stored immutably on a distributed ledger, and the connection can be powered by using blockchain.

Check out: Top Fraud And Breach Protection Companies

tag

Fraud

IT Infrastructure

BYOD

Cyber Threats

Predictive Analytics

Breach Protection

scam

Featured Vendors

  • MVI Technologies: Innovative, Future-proof Financial and Payment Switching
    MVI Technologies: Innovative, Future-proof Financial and Payment Switching
  • DATAMARK: Process Driven Solutions in Action
    DATAMARK: Process Driven Solutions in Action
  • IMACREA: Shaping the Future of Teleworking
    IMACREA: Shaping the Future of Teleworking
  • PuzzleBox BPO, Inc.: A Hybrid Platform for Customer Support and Sales Empowerment
    PuzzleBox BPO, Inc.: A Hybrid Platform for Customer Support and Sales Empowerment
ON THE DECK

Read Also

Safeguarding Quality through Proactive Risk Management

Cultivating a Culture of Agility: Nurturing Adaptability for Organizational Success

Governance for Smarter KPIs: Enhancing Performance Measurement

Embracing the Irreplaceable Human in Business and Beyond

Leveraging Gamification for Deeper Financial Engagement

Generative AI: The Game-Changer Automates Marketing For The Retail Industry

Loading...

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 CIO Advisorapac. All rights reserved. Registration on or use of this site constitutes acceptance of our Terms of Use and Privacy Policy |  Sitemap

follow on linkedinfollow on twitter
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.cioadvisorapac.com/news/how-bigdata-and-machine-learning-can-prevent-cyber-breaches-nwid-1400.html