Predictive Threat Intelligence

Traditionally, security has been the reaction to a threat or an attack. A cyber criminal launches an attack on your organization, your team responds, the attack is stopped and the damage is mitigated. But what if you were able to predict a threat before an attack? Predictive threat intelligence is a way for security teams to learn which threats are most likely, using data, trends, machine learning, artificial intelligence (AI), and behavioral analysis.

Flare and Predictive Threat Intelligence

How does Flare help your team develop predictive threat intelligence?

Predictive threat intelligence is built using a combination of data, analysis, machine learning and an understanding of the current threat landscape. Flare’s solution gathers threat intelligence by automatically scanning the clear & dark web — as well as prominent threat actor communities — for existing threats and hacker chatter. When your data is leaked, your company name or assets are mentioned, or a trend might affect your organization is identified, Flare notifies your team. This information allows your security team to build up knowledge and, through analysis, decide which threats are most likely.

How does Flare use AI to create predictive threat intelligence?

Flare’s Threat Flow is the security industry’s first transparent generative AI application that provides trustworthy and relevant summaries of relevant threat actor chatter.

Security practitioners and leaders are concerned about relying on generative AI because of its opacity. Threat Flow the original sources from which report outputs come from. This not only provides unique research opportunities but also enables scaled research and reporting for your security team.

What do you get with Flare’s threat intelligence solution?

A proactive security stance: By using predictive threat intelligence and seeking out potential threats, your team can plan for attacks before they happen and take steps to protect your data, systems, and networks.
Visibility into the deep and dark web: Flare’s monitoring solution scans the deep, dark, and clear web, as well as illicit Telegram channels, to find leaks before an attack happens.
Translation and context: Flare’s AI assistant contextualizes and prioritizes threat alerts so that your team knows which are most likely — no matter where in the world they come from.

An Overview of Predictive Threat Intelligence

What is predictive threat intelligence?

Predictive threat intelligence uses a combination of advanced data analysis, machine learning, and artificial intelligence to anticipate cyber threats before they occur. This proactive approach enables organizations to strengthen their security posture by identifying potential vulnerabilities and attack vectors, allowing them to take preemptive measures to mitigate risks before an attack. While AI can generate predictive threat intelligence, the expertise of human analysts is critical to a strong predictive threat intelligence program: traditional data analysis, expert knowledge, and strong judgment is important in deciding which threats are most likely.

How does predictive threat intelligence improve cybersecurity?

Predictive threat intelligence helps your team shore up cyber defenses in a number of ways:

Anticipating threats: Predictive threat intelligence uses historical data, threat patterns, and trend analysis to forecast potential cyber threats before they occur.
Proactive measures: Your team can implement security controls, patches, and updates in anticipation of predicted threats, reducing the likelihood of successful attacks.

Preparedness: By predicting potential threats, your organization can enhance incident response plans with predefined scenarios and playbooks.
A faster response: Having advance warning of likely threats allows your security team to respond to attacks more quickly and effectively, minimizing the impact of an incident.
Focused efforts: Predictive intelligence helps prioritize security resources and efforts on the most probable and impactful threats.

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Strategic planning: Supports strategic decision-making by providing insights into emerging threats and long-term trends.
Policy development: Assists in the development of security policies and procedures that address anticipated threats.

What data is used by predictive threat intelligence to profile cyber criminals?

Cybercriminals rarely stick to one platform. Machine learning models and natural language processing (NLP) can create context that detects cybercriminals as they move around the web. For example, AI uncovers patterns and relationships between otherwise disconnected threat actors using several kinds of data:

Speech patterns
Word choice
Abbreviations
Slang
Post telemetry

Why is Predictive Threat Intelligence So Important in Today’s Cybersecurity Landscape?

Why is it important to use predictive threat intelligence?

Security teams are tasked with a difficult job; they must secure your entire attack surface and supply chain against attacks — some of which they may not be able to anticipate. Meanwhile, threat actors are working together to develop new attacks and identify vulnerabilities in your defenses. Predictive threat intelligence can give your team visibility into which attacks are most likely, and which threat actors might be focused on compromising your data and systems.

How can predictive threat intelligence help stop breaches?

Effective predictive intelligence can help your organization strengthen cyber defenses, hunt for threats, remediate vulnerabilities, improve compliance, and streamline your cybersecurity processes. In other words, you can’t prepare for threats you don’t know about. The ability to predict an attack gives your team an edge, so when an attacker tries to exploit a vulnerability, they’ll find a countermeasure rather than an attack vector.

Is it really possible to predict threats?

While security teams don’t have a crystal ball and can’t tell the exact future, AI is a tool that can offer insights about the most likely attacks using the wealth of data that exists regarding previous attacks, threat actors, and historical trends. For example, if ransomware gangs are targeting companies in your industry with a specific type of ransomware, it’s likely they may target your company as well. Knowing that, your team can prepare against that type of attack.