Threat Intelligence

The continuous collection and analysis of threat data used to identify emerging fraud techniques and improve anti-fraud protection.

What Is Threat Intelligence

Threat Intelligence is the continuous process of collecting, analyzing, and sharing information about emerging fraud schemes, botnets, malicious infrastructure, and attack techniques. In digital advertising, threat intelligence enables anti-fraud platforms to quickly recognize new fraud patterns and update detection mechanisms before they become widespread.

Unlike static rule sets, threat intelligence evolves continuously as attackers introduce new tactics, allowing fraud detection systems to adapt to an ever-changing threat landscape.

How Threat Intelligence Works

Threat intelligence platforms aggregate data from multiple internal and external sources to identify new indicators of fraudulent activity.

Common intelligence sources include:

  • Botnet activity.
  • Malicious IP addresses.
  • Device fingerprints.
  • Emerging fraud signatures.
  • Proxy and VPN infrastructure.
  • Behavioral anomalies.
  • Global threat feeds.

The collected intelligence is continuously analyzed and incorporated into fraud detection systems, allowing them to identify newly emerging threats in real time.

Why It Matters for Your Campaigns

Advertising fraud evolves rapidly, with attackers constantly developing new techniques to bypass existing defenses.

Threat Intelligence helps advertisers:

  • Detect emerging fraud schemes.
  • Respond to new botnet activity faster.
  • Improve fraud detection accuracy.
  • Reduce invalid traffic.
  • Strengthen real-time protection.
  • Improve campaign security.
  • Continuously update fraud prevention models.

Without continuously updated threat intelligence, even advanced fraud detection systems gradually lose effectiveness against evolving attacks.

How to Use Threat Intelligence

Threat intelligence is most effective when integrated into a comprehensive fraud prevention strategy.

Recommended best practices include:

  • Continuously monitor emerging threats.
  • Update fraud detection rules regularly.
  • Correlate global threat data with campaign traffic.
  • Share intelligence across security systems.
  • Combine threat intelligence with behavioral analytics.
  • Continuously retrain machine learning models.
  • Deploy multi-layer fraud prevention platforms that integrate real-time threat intelligence, technical analysis, behavioral detection, and automated response mechanisms.

Continuously updated Threat Intelligence enables anti-fraud systems to stay ahead of rapidly evolving fraud techniques.