Top Applications of ML & AI in Cyber Security - PowerPoint PPT Presentation

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Top Applications of ML & AI in Cyber Security

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Cybersecurity is the act of defending or protecting computers, servers, networks, information, or any other electronic device from harmful attacks. It is crucial to all organizations, including governments, corporations, the military, and numerous financial organizations. Most significantly, they are all data-driven. – PowerPoint PPT presentation

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Date added: 26 July 2022
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Title: Top Applications of ML & AI in Cyber Security


1
Top Applications of ML AI in Cyber Security
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Cyber Security Cybersecurity is the act of
defending or protecting computers, servers,
networks, information, or any other electronic
device from harmful attacks. It is crucial to all
organizations, including governments,
corporations, the military, and numerous
financial organizations. Most significantly, they
are all data-driven.
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3
  • Machine Learning (ML)  and Artificial
    Intelligence (AI) Applications in Cybersecurity
  • Artificial intelligence (AI) is machine
    intelligence that simulates human behavior or
    thinking and may be educated to solve specific
    issues. Artificial intelligence allows procedures
    to be automated, removing the need for human
    interaction and bias from commercial operations.
    The main advantage of AI in cybersecurity is that
    security professionals can use artificial
    intelligence to analyze network data and identify
    weaknesses to prevent destructive cyberattacks.
  • Machine learning, a form of artificial
    intelligence, is increasingly being utilized by
    businesses to improve their security systems.
    Machine learning and artificial intelligence have
    the following applications and assist security
    specialists in detecting malicious attacks.
  •  Cyber threat identification 
  • Any outgoing and incoming calls and requests to
    the system can be monitored by a cyber threat
    identification system powered by AI and machine
    learning.
  • Mobile endpoint security
  • Because smartphones, tablets, and laptops are all
    vulnerable to cyber-attacks, machine learning is
    utilized for mobile endpoint protection.
  • No zero-day vulnerabilities
  • By studying irregularities in network traffic,
    machine learning algorithms can detect zero-day
    attacks. Machine learning is used to eliminate
    vulnerabilities and avoid patch exploitation.


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4
  • AI-based antivirus software
  • Antivirus software with machine learning seeks to
    detect viruses and malware based on their
    intrusion rather than their signature. As a
    result, it can handle both common and previously
    encountered dangers, as well as novel threats
    from viruses or malware that have recently been
    produced.
  • User behavior modeling 
  • Each user's activity, such as login and logout
    habits, can be integrated into the machine
    learning algorithm. The machine learning
    algorithm can then detect when users deviate from
    their usual behavior pattern and warn the
    cybersecurity team.
  • Email monitoring 
  • It's critical to keep an eye on employees'
    official email accounts to avoid cybersecurity
    assaults such as phishing. Machine learning can
    prevent these phishing traps by monitoring
    employees' professional emails for any traits
    that signal a cybersecurity threat.
  • Fighting AI threats
  • Many hackers utilize technology, such as machine
    learning to uncover security flaws and attack
    networks. With the use of artificial intelligence
    and machine learning, these types of attacks
    could become even more severe in the future
    unless cybersecurity software incorporates the
    same technologies.


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5
  • Automate tasks
  • The main advantage of machine learning is that it
    can automate monotonous jobs, allowing employees
    to focus on more important duties.
  • Webshell 
  • WebShell is a piece of code that is maliciously
    put into a website to grant access to changes to
    the user's Webroot. Machine learning can assist
    in detecting typical shopping cart activity and
    training the model to distinguish between normal
    and malicious behavior.
  • Network risk scoring 
  • Machine learning can analyze prior cyber-attack
    statistics and figure out which parts of the
    network are most commonly targeted.
  • About InfosecTrain
  • InfosecTrain is a well-known training company
    that offers information security training
    courses. Join us for a great experience with our
    industry experts to gain a solid understanding
    of cybersecurity concepts.

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6
About InfosecTrain
  • Established in 2016, we are one of the finest
    Security and Technology Training and Consulting
    company
  • Wide range of professional training programs,
    certifications consulting services in the IT
    and Cyber Security domain
  • High-quality technical services, certifications
    or customized training programs curated with
    professionals of over 15 years of combined
    experience in the domain

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7
Our Endorsements
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8
Why InfosecTrain
Global Learning Partners
Access to the recorded sessions
Certified and Experienced Instructors
Flexible modes of Training
Tailor Made Training
Post training completion
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9
Our Trusted Clients
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10
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11
Contact us
Get your workforce reskilled by our certified and
experienced instructors!
IND 1800-843-7890 (Toll Free) / US 1
657-722-11127 / UK 44 7451 208413
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