What are you looking for?
October 21, 2026
Cybercrime is becoming an unfortunate fact of life. By 2029, global costs and lost revenue from cyberattacks are estimated to hit nearly $16 trillion.
For businesses, the effects can be devastating. In 2024, the global average cost of a data breach was $4.4 million. Harder to quantify, but potentially even more harmful, is the reputational damage. Businesses impacted by cyberattacks report considerable challenges in attracting new customers, according to a 2024 survey by Hiscox. In all, 43% of those businesses said they lost customers and 21% said they lost business partners.
As hackers’ methods grow increasingly sophisticated, even today’s advanced security measures may not be enough. Although cybercrime is as old as the internet, the post-pandemic e-commerce boom supercharged its development, and the growing accessibility of AI tools has made it easy to automate mass attacks.
Fortunately, a relatively new branch of cybersecurity, called threat intelligence, is evolving to counter emerging dangers before they cause damage. Here’s what you need to know about it.
Threat intelligence is the process of collecting and analyzing data about current and potential cyber threats to help organizations proactively defend against attacks.
Threat intelligence professionals gather and analyze information online to predict and assess potential risks posed by people and groups hostile to an organization or its members. They use these insights to help prevent potential attacks, such as data breaches, phishing scams and ransomware attacks. As they continuously review online activity, threat intelligence teams integrate evidence and context for a wide-angle view of an organization’s digital risks.
This process helps organizations make informed decisions about bolstering their security.
For example, to deter cyberattacks, threat intelligence teams continuously monitor underground forums and hacker chatter for signs of impending threats against a business. By analyzing patterns in discussions, malware developments and leaked credentials, experts can identify potential points of attack before they are exploited. If intelligence indicates that a ransomware group is targeting organizations in a specific industry, security teams can proactively strengthen defenses, patch vulnerabilities and implement threat-hunting measures to mitigate the risk before an attack occurs.
As digitization reshapes industries, criminal tactics are always evolving. But by searching for and identifying potential threats online before they materialize, threat intelligence teams help businesses proactively strengthen their defenses, reduce average breach costs and protect brand reputation. With early detection, businesses can be proactive about vulnerability patching improve incident response times and help business make smarter security investments.
Threat intelligence uses a variety of data sources, ranging from signals that are publicly available on the internet to data from places that are more difficult to reach and often used by cyber threat actors. Threat intelligence experts can use that information to determine if a threat is valid and, if so, then figure out the best way to mitigate it.
The four primary types of threat intelligence are strategic, tactical, technical and operational. Each serves a distinct purpose and caters to different decision-making levels within an organization.
Operational threat intelligence focuses on the mechanics of specific campaigns, providing insight into an attacker’s motivation and capabilities.
Strategic threat intelligence teams take a broader view, offering a holistic understanding of the larger landscape through long-term trend analysis and ongoing observation of macro-level dynamics, including geopolitical conditions and industry shifts, that could contribute to future strikes.
Technical threat intelligence zeroes in on the inner workings of an intrusion, such as the hackers’ access routes, malware signatures and IP addresses, to forecast the potential impacts on systems.
Tactical threat intelligence teams keep tabs on criminals’ shifting techniques and procedures, helping organizations stay a step ahead.
Artificial intelligence and machine learning systems are increasingly used in threat intelligence to automate the collection and analysis of massive volumes of information online, speeding response times and reducing cost.
Machine learning models can categorize data, translate foreign-language text and discern subtle patterns in historical information to anticipate future attacks. To help human analysts prioritize threats, AI systems analyze incoming evidence, reducing the time analysts spend on false positives.
Threat intelligence platforms house the analysis, trend research and findings that were developed after reviewing and analyzing information from that variety of online data sources. Customers then use these software systems to receive relevant alerts and assess potential threats in real-time across the internet and in the real world.
In addition to creating prioritized and contextual alerts for human analysts, threat intelligence platforms funnel intelligence to security tools such as firewalls and intrusion detection and prevention systems, enhancing their ability to block malicious activity.
Threat intelligence supports financial cybersecurity by detecting early signals of fraud, monitoring for data breaches and tracking criminal tactics as they evolve. It also feeds intelligence directly into security tools such as firewalls and intrusion detection systems to block malicious activity in real time.
Cyber threats and payment fraud are deeply interconnected. Stolen credentials, compromised card data and breached merchant systems often serve as the foundation for fraudulent transactions. In fact, 60% of global fraud leaders report they are notified of breaches only after fraud losses begin, underscoring the need for earlier threat detection.
Threat intelligence enables real-time fraud prevention by identifying compromised payment data, detecting card testing schemes and monitoring for digital skimming attacks before they result in significant losses (Datos Insights, 2025). By integrating threat intelligence into fraud prevention strategies, organizations can detect suspicious activity earlier in the attack lifecycle and protect both their customers and their bottom line.
AI systems within threat intelligence platforms analyze incoming evidence to help human analysts focus on genuine threats rather than noise. This reduces the time analysts spend reviewing false positives, making fraud detection faster and more precise.
Threat intelligence teams monitor underground forums and hacker chatter for signs of impending ransomware campaigns. If intelligence indicates a ransomware group is targeting organizations in a specific industry, security teams can proactively strengthen defenses, patch vulnerabilities and implement threat-hunting measures before an attack occurs.
This story was originally published on February 19, 2025, and has been updated with new statistics and perspectives on threat intelligence.