What is Automated Intelligence?

Lucia Stanham - February 13, 2024

The cybersecurity landscape is rapidly evolving, reaching record levels of stealth, sophistication, and speed. For defense mechanisms to effectively prevent attacks and minimize damage, they must be able to keep pace with these threats. One of the ways security teams are accelerating their defenses is through automated intelligence.

In this post, we’ll examine the critical role of automated intelligence in cybersecurity. We’ll review  how traditional defense measures have evolved to integrate automated systems that use AI/machine learning (ML) and data analytics. Then, we’ll look at the role and benefits of automated intelligence as a part of a modern cybersecurity arsenal.

Understanding automated intelligence

Traditional cybersecurity methods primarily seek to defend against known threats, often relying on human intervention to mitigate threats. Conventional approaches have often applied signature-based methods of detection, which involves scanning systems for threat signatures that match records in a database of known threats. Security teams manually monitor network and user logs to try to spot unusual activity or potential breaches.

Unlike traditional methods, automated intelligence uses data analytics and AI/ML algorithms to analyze, predict, and respond to cyber threats, enriching telemetry with high-fidelity threat intelligence. With ML, a cybersecurity system can learn from past incidents and adapt to new and unknown threats — without explicit programming. Advanced analytics enable systems to sift through vast amounts of security data to identify potential threats and vulnerabilities. Together, these technologies form the backbone of automated intelligence.

With automated intelligence, a cybersecurity system can learn from data, identify patterns, and make decisions with minimal human input. In today’s cyber threat landscape — where threats often elude or outpace traditional detection methods — the use of automated intelligence is crucial.

The role of automated intelligence in cybersecurity

The use of automated intelligence has significantly reshaped how modern enterprises approach cybersecurity. Automated intelligence introduces the ability to carry out proactive threat detection. Unlike traditional methods — which are reactive — automated intelligence constantly analyzes and learns from data, making it able to identify potential threats before they can cause harm. This proactive approach helps organizations stay ahead of cyberattackers and their constantly evolving tactics.

Another significant role of automated intelligence is in facilitating real-time monitoring and response. It’s not enough to identify issues; when a cybersecurity solution’s continuous monitoring yields security threats, each incident must be met by a swift response. Traditionally, this might mean notifying a security team to take action through human intervention. With automated intelligence, however, a cybersecurity platform can take effective threat remediation steps immediately and automatically.

Lastly, automated intelligence is instrumental in predictive analytics for risk mitigation. By analyzing trends and patterns from historical data, automated intelligence systems can predict potential vulnerabilities and anticipate future attack strategies. Armed with this foresight, an organization can fortify its defenses proactively. When an organization addresses and shores up weaknesses before they can be exploited, it stays one step ahead of attackers in the cybersecurity game.

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The benefits of automated intelligence in cybersecurity

Now that we’ve looked at the role of automated intelligence in modern cybersecurity, the benefits it brings should be quite clear. These benefits include:


  • Enhanced accuracy and efficiency in threat detection: Automated intelligence systems can analyze data at a scale and speed unattainable by human analysts. This leads to more accurate and comprehensive detection of threats and a lower likelihood of false positives.
  • Faster response to security incidents: Automated intelligence equips your cybersecurity defenses to operate at machine speed from end to end, enabling an immediate response to threats. This rapid reaction minimizes the potential damage from cyberattacks and helps maintain operational continuity.
  • Maintaining team efficiency regardless of scale: Automated intelligence scales seamlessly as your infrastructure and data complexity grow, which means cybersecurity teams can do more with less. By automating routine tasks, automated intelligence allows analysts to focus on essential, critical, and complex projects.
  • Cost-effective and optimal resource usage: By freeing up human analysts to take on the more complex and critical aspects of cybersecurity, automated intelligence mitigates the pains of the current cybersecurity skills shortage.

Automated intelligence and the AI-native CrowdStrike Falcon platform

The integration of automated intelligence into cybersecurity represents a significant advancement in our ongoing battle against cyber threats. By leveraging AI/ML and advanced data analytics, automated intelligence brings proactive threat detection, swift threat response, and improved risk mitigation. As a result, security teams enjoy improved detection accuracy and efficiency, helping them maintain a strong security posture — and automated intelligence enables them to do this regardless of the scale of their systems and infrastructure.

The CrowdStrike Falcon® platform leverages automated intelligence and AI/ML technologies to make sure organizations stay ahead of modern cyber threats. With AI-powered behavioral analysis and indicators of attack (IOAs), the Falcon platform provides comprehensive and cutting-edge CrowdStrike Adversary Intelligence. The CrowdStrike Falcon® Fusion security orchestration automation and response (SOAR) framework enables organizations to improve efficiency by automating security workflows and tasks.

Are you ready to embrace automated intelligence and AI-native capabilities to protect your organization from fast-moving and ever-evolving cyber threats? To learn more, try the Falcon platform for free or contact us today.


Lucia Stanham is a product marketing manager at CrowdStrike with a focus on endpoint protection (EDR/XDR) and AI in cybersecurity. She has been at CrowdStrike since June 2022.