Predictive Threat Intelligence Feeds

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.

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.

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.

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.

• 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.

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.

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