预测性威胁情报数据源

Predictive Threat Intelligence Use Cases

• 阻止新的风险域名群组

  通过早期威胁监测和响应，可每日识别并阻止潜在的域名威胁的发生。

• 识别攻击者基础设施

  Gather WHOIS, IP, and other contextual information for domains and map out their connections.

• Prevent brand impersonation

  Catch brand impersonation early with daily access to potential cybersquatting domains.

• 丰富威胁情报来源

  Combine existing intelligence sources with in-depth domain threat data for enhanced visibility and more efficient threat hunting.

Establish Your First Line of Defense with Predictive Threat Intelligence

常见问题

What is predictive threat intelligence?

In cybersecurity, predictive threat intelligence is a proactive approach of using data, behavior analytics, machine learning algorithms, and artificial intelligence to forecast potential threats before they materialize.

This forward-looking approach reduces the likelihood of attacks being successful and helps organizations stay ahead of emerging threats.

It’s also sometimes called proactive threat intelligence.

What are the benefits of predictive threat intelligence vs traditional threat intelligence feeds?

The main benefits of using predictive threat intelligence are:

• early detection of emerging threats;
• protection from brand impersonation;
• proactive risk reduction;
• reduced false positive rate.

In comparison, traditional threat intelligence feeds offer information about historical threats. They are useful for protecting against ongoing campaigns and cybersecurity teams love them for very low false positive rates.

But this historical data and IoCs can only be accumulated after someone has already been targeted with a cyber attack. So, there’s always a risk that an organization can become a target of a cyber attack before IoCs for this particular threat get to the data feeds that it’s subscribed to.

Predictive intelligence is proactive rather than reactive. WhoisXML API’s predictive cyber intelligence offers information about potentially malicious domains, cybersquatting, and algorithmically generated domains less than 24 hours after they are registered and often BEFORE they are weaponized.

Relying on predictive analytics and near real-time potential threat data allows cybersecurity teams to enable proactive defense, effectively protecting networks and people against emerging threats, reducing potential risks, and strengthening the organization’s security posture.

Thanks to predictive security, you know where the attack originates from, so you don’t need to know what form the attack will assume to block it.

How do I integrate predictive threat intelligence into my cybersecurity processes?

WhoisXML API’s predictive threat intelligence feed files come in the CSV format, which is considered a standard in cybersecurity. You can easily add it to the threat intelligence platform, SIEM, SOAR, or EDR platform that you’re using.

Use predictive actionable threat intelligence feeds as your first line of defense, taking a proactive stance, preventing potential threats, and blocking attack vectors.

What makes WhoisXML API’s predictive threat intelligence feeds different?

WhoisXML API has over 15 years of experience with domain intelligence, with over 21 billion historical WHOIS records aggregated and 7,596 TLDs monitored daily. We’ve trained our predictive machine-learning models on the vast amounts of historical domain data collected over the years.

That makes our predictive models more precise, ensuring low false positives counts and better actionable insights, effectively preventing future threats.

What do the predictive threat intelligence data feeds contain?

• First Watch Malicious Domains Data Feed relies on predictive AI models to provide daily lists of domains with malicious intent at registration (before they’ve shown any malicious activity), preventing phishing, spam, and malware campaigns before they launch.
• Typosquatting Data Feed enables users to keep tabs on suspiciously similar, bulk-registered domain names possibly used in typosquatting or phishing campaigns.
• Early Warning Phishing Data Feed contains daily lists of newly registered domains that closely mimic famous brand names and text strings. The feed also provides additional files to further filter for similar branded or themed domains registered in bulk.
• Early DGA Detection Data Feed offers daily updated lists of new domains created algorithmically, often featuring nonsensical alphanumeric combinations.
• Disposable Email Domains Database contains tens of thousands of temporary email domains used to create throwaway email addresses.

How does predictive threat intelligence help protect against potential attacks?

Relying on predictive models and information about potentially malicious domains allows security solutions to either preventively block traffic from or to these domains or raise red flags when such traffic is detected.

This allows cybersecurity teams to protect the organization from a lot of phishing and malware campaigns, significantly reducing the likelihood of cyber attacks rather than waiting for them to happen and trying to fend them off.

Who could benefit from using predictive threat intelligence feeds?

• Security platform developers
• SOCs and MSPs
• Law enforcers and security researchers