• Why IRONSCALES
    OUR VALUE
    • Protect Better
      Protect Better

      Gain protection against advanced email attacks like BEC, ATO, social engineering, and more

    • Simplify Operations
      Simplify Operations

      Turn hours-a-day to minutes-a-month combatting phishing with customizable security automation

    • Empower Your Org
      Empower Your Org

      Triple your org's email security awareness with real-world phishing simulation testing and training

    CUSTOMERS
    • Customers
      Customers

      Check out the benefits provided to our customers and their stories

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      Case Studies

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    NEWS
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    Press: New Research

    New Osterman study reveals orgs with high confidence still lack capabilities against QR code attacks

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    Case Study: Webhelp

    Learn how Webhelp saved over 450 SecOp hours and is protecting 36,000 mailboxes

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    Awards: INC. 5000

    IRONSCALES earns 'Fastest Growing Email Security Company' for 3rd straight year

  • Platform
    Spring '24 Software Release! Check out our new deep image-based detection, GWS capabilities, and more. Explore the new additions
    CAPABILITIES
    • Inbound Email Protection
      Inbound Email Protection

      Get Adaptive AI email security against advanced attacks missed by other security controls​

    • Account Takeover Protection
      Account Takeover Protection

      Eliminate the risk of ATO with advanced prevention, detection, and response

    • Image-Based Attack Protection
      Image-Based Attack Protection

      Protect your organization from image-based attacks like malicious QR codes

    • SOC Automation
      SOC Automation

      Put SecOps workloads on auto-pilot with automated email remediation and more

    • Phishing Simulation Testing
      Phishing Simulation Testing

      Send your employees customized simulations built from real-world threats

    • Security Awareness Training
      Security Awareness Training

      Build a security-centric culture with automated personalized awareness campaigns

    • Crowdsourced Threat Intelligence
      Crowdsourced Threat Intelligence

      Leverage insights from 20,000+ security analysts in our community for email remediation

    • Collaboration Tool Protection
      Collaboration Tool Protection

      Protect your collaboration tools including Microsoft Teams® from advanced threats

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    TECHNOLOGY
    • Adaptive AI Engine
      Adaptive AI Engine

      Learn how we level up our AI with advanced ML models and Human Insights

    • Human Insights
      Human Insights

      See how we uniquely enhance our adaptive AI with real-time Human Insights

    • Generative AI
      Generative AI

      Discover how we use Gen-AI, large language models, and techniques for email security

    • Ecosystem Integrations
      Ecosystem Integrations

      Maximize your existing security tools with our seamlessly integrated platform

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  • Solutions
    USE CASE
    • BEC & Executive Impersonation
      BEC & Executive Impersonation

      Stop advanced attacks like BEC, VEC, and VIP impersonation

    • Advanced Malware/URL Attacks
      Advanced Malware/URL Attacks

      Continuously protect against malicious links and attachments

    • Credential-Theft
      Credential Harvesting

      Block attackers from stealing your sensitive business data

    • Account Takeover Attacks
      Account Takeover Attacks

      Prevent, detect, and respond to ATO attacks in real time

    • QR Code Attacks
      QR Code Attacks

      Decipher image-based attacks from weaponized QR codes

    • Generative AI Attacks
      Generative AI Attacks

      Safeguard your organization against GPT-crafted attacks

    • Phishing Simulation Testing
      Phishing Simulation Testing

      Test your employees with real-world email attacks

    • Security Awareness Training
      Security Awareness Training

      Build a security-first organization with integrated SAT campaigns

    Get A FREE Email Health Scan
  • Learn
    New Report! Osterman Research releases their 2024 findings on Image-based/QR Code Attacks. Read the report
    LEARN
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    FEATURED
    Email Security in the Age of AI
    Email Security in the Age of AI

    Understand the role of AI in fortifying defenses against evolving threats.

    QR Code Phishing
    QR Code Phishing

    QR codes serve as a new bypass method to evade detection.

    The ABCs of MFA
    The ABCs of MFA

    MFA is your digital doorman that keeps the malicious actors at bay.

    Phishing Prevention
    Phishing Prevention

    Dive into our complete 13-chapter guide on phishing prevention best practices

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    Spear Phishing

    Understand the inner workings of highly specialized phishing tactics and how to stop them

    Voice Phishing
    Voice Phishing

    See how attackers leverage new methods and channels to defraud businesses

  • Partner
    BY TYPE
    • Resellers
      Resellers

      Elevate your business with exclusive reselling opportunities

    • MSPs / MSSPs
      MSPs / MSSPs

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    • Technology Partners
      Technology Partners

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    ENGAGE
    • Become Partner
      Become Partner

      Apply to become an IRONSCALES partner today

    • Partner Portal
      Partner Portal

      Check out valuable tools and resources for partners

    Become a Partner

    Partner with IRONSCALES Today
  • Pricing
  • headset_icon user Get a Demo
headset_icon user Get a Demo

What is Natural Language Understanding?

Natural language understanding (NLU) is a subfield of artificial intelligence that focuses on enabling machines to understand and interact with humans in their own natural language.

Natural Language Understanding Explained

Natural language understanding (NLU), a subset of Natural Language Processing (NLP),  is a field of artificial intelligence that focuses on enabling machines to understand and interact with humans in their own natural language. NLU processes linguistic input from the user and interprets it into structured data that can be used by computer applications. For instance, when a user says, “What’s the weather like today?”, NLU is able to recognize that the user is asking for a particular type of information and can then provide an appropriate response. NLU systems are used in various applications such as virtual assistants, chatbots, language translation services, text-to-speech synthesis systems, and question-answering systems.

How does Natural Language Processing work?

Natural Language Understanding (NLU) works by using a combination of techniques such as natural language processing (NLP), machine learning, and deep learning. NLU systems are able to understand the context of a given sentence or conversation and then interpret it in a way that is meaningful for the application. The steps in NLU include:

1. Gathering the text data
2. Pre-processing the data
3. Extracting information and features
4. Modeling the data
5. Answering queries and providing insights

How does Natural Language Understanding help fight phishing?

Natural language understanding (NLU) can help improve the accuracy and efficiency of cybersecurity systems by automatically recognizing patterns in languages, such as slang or dialects, to categorize potential threats.

Phishing is a common type of cyberattack that uses deceptive emails to trick people into providing sensitive information or clicking malicious links. NLU can help detect 'malicious intent' within phishing attacks by analyzing both the content and context of incoming messages, commonly found in advanced Business Email Compromise (BEC) attacks. For example, NLU can analyze the text of an email to determine if it contains language associated with phishing attempts, such as requests for login information or clicking suspicious links.

Natural language understanding can also detect inconsistencies between the sender’s email address and the content of the message that could indicate a phishing attack. By detecting these anomalies, NLU can help protect users from malicious phishing attempts. 

How the IRONSCALES™ solution uses Natural Language Understanding

NLU powered by neural networks helps determine the intent of an email by scanning language usage for topic and sentiment. The IRONSCALES email security solution uses NLU to determine commonly fraudulent messaging used in social engineering messages, which include employee availability checks, requests for unspecific tasks, gift card requests, and solicitations for direct deposits, payments, bank details, among other key indicators.

Additionally, natural language understanding makes it easier for organizations to protect against impersonations of senior executives and high-level managers because the technology scrapes metadata to scan for words and phrases commonly associated with those roles.

While this may appear complicated to defend against in reality, the IRONSCALES platform was purposefully built to mitigate these types of attacks. And by deploying computer vision alongside NLU, the self-learning email security platform is the only one on the market able to help customers automatically identify the “what” and the “who” of a malicious message. Read our blog post to learn more.

Get a demo of IRONSCALES™ today!  https://ironscales.com/get-a-demo/

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Featured Content

AI in Email Security

This comprehensive Osterman Research study explores the evolving landscape of AI-driven threats and innovative solutions implemented to stay ahead.

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Gartner® Email Security Market Guide

This guide gives email security experts an exclusive access to Gartner® research to ensure their existing solution remains appropriate for the evolving landscape.

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Defending the Enterprise from BEC

Data shows organizations deploy defense-in-depth approaches ineffective at addressing BEC attacks. Discover truly effective strategies in this report.

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