BforeAI PreCrime Intelligence
Overview
Details
We encourage you to test our intelligence feed by correlating the suspicious domains listed in our feed with your network log files.
For more advanced pre-emptive security we encourage you to block all the Malicious domains (with a Score >= 0.8)
Here are some log sources that can be beneficial:
Web Proxy Logs: Identify access to malicious domains from browsers.
DNS Logs: Detect any DNS queries to suspicious domains.
Firewall Logs: Monitor connection attempts to and from suspicious domains.
IDS/IPS Logs: Correlate detected intrusions with our intelligence feed.
Endpoint Logs: Check for endpoint attempts to access malicious domains.
By integrating our intelligence feed with these logs, you can preemptively detect and mitigate threats in your network, significantly enhancing your security defenses.
PreCrime Intelligence, by BforeAI
PreCrime Intelligence, the predictive threat intelligence domain list, serves as your pre-emptive shield against tomorrow’s threats. By mapping and predicting malicious domain patterns through extensive datasets, we analyze network metadata to establish baselines and detect anomalies before they become breaches. Our advanced algorithms and machine learning models process vast amounts of data, enabling proactive threat detection and prevention. This cutting-edge technology helps organizations stay ahead of cyber threats, ensuring robust security and continuity. PreCrime Intelligence transforms raw data into actionable insights, offering unparalleled protection in the ever-evolving landscape of cybersecurity.
Use Cases:
Network Protection
PreCrime Intelligence enhances network protection by providing a domain blocklist data feed that includes predictive insights derived from global internet traffic analysis. This feed identifies and predicts malicious domain patterns, allowing organizations to proactively block harmful domains before they can impact network security. By integrating this data feed into their security infrastructure, organizations can preemptively protect against emerging threats and maintain a robust defense against cyberattacks.
Anti-phishing
PreCrime Intelligence strengthens anti-phishing measures through a domain blocklist data feed that targets domains associated with phishing activities. By analyzing global internet traffic and domain registration patterns, it identifies potential phishing domains early. Organizations can use this feed to update their security systems in real-time, blocking phishing attempts before they reach end-users. This proactive approach mitigates the risk of credential theft and financial fraud.
IoT Protection
PreCrime Intelligence secures IoT environments by offering a domain blocklist data feed that monitors global internet traffic for threats targeting IoT devices. By identifying malicious domains and unusual communication patterns, it helps establish protective measures against potential IoT vulnerabilities. Integrating this data feed into IoT security systems allows for early detection and blocking of harmful domains, ensuring the integrity and security of interconnected IoT devices across various applications.
Release Notes
Version 1.0.6
PreCrime Intelligence, by BforeAI
PreCrime Intelligence, the predictive threat intelligence domain list, serves as your pre-emptive shield against tomorrow’s threats. By mapping and predicting malicious domain patterns through extensive datasets, we analyze network metadata to establish baselines and detect anomalies before they become breaches. Our advanced algorithms and machine learning models process vast amounts of data, enabling proactive threat detection and prevention. This cutting-edge technology helps organizations stay ahead of cyber threats, ensuring robust security and continuity. PreCrime Intelligence transforms raw data into actionable insights, offering unparalleled protection in the ever-evolving landscape of cybersecurity.
Use Cases:
Network Protection
PreCrime Intelligence enhances network protection by providing a domain blocklist data feed that includes predictive insights derived from global internet traffic analysis. This feed identifies and predicts malicious domain patte
Version 1.0.5
PreCrime Intelligence, by BforeAI
PreCrime Intelligence, the predictive threat intelligence domain list, serves as your pre-emptive shield against tomorrow’s threats. By mapping and predicting malicious domain patterns through extensive datasets, we analyze network metadata to establish baselines and detect anomalies before they become breaches. Our advanced algorithms and machine learning models process vast amounts of data, enabling proactive threat detection and prevention. This cutting-edge technology helps organizations stay ahead of cyber threats, ensuring robust security and continuity. PreCrime Intelligence transforms raw data into actionable insights, offering unparalleled protection in the ever-evolving landscape of cybersecurity.
Use Cases:
Network Protection
PreCrime Intelligence enhances network protection by providing a domain blocklist data feed that includes predictive insights derived from global internet traffic analysis. This feed identifies and predicts malicious domain patte
Version 1.0.4
Version 1.0.3
Unleash Proactive Security: Introducing Splunk Integration v1.0!
We're excited to unveil a revolutionary leap forward in proactive cybersecurity: Splunk Integration v1.0! This powerful integration seamlessly fuses the predictive power of PreCrime Intelligence with your existing Splunk environment.
What is Splunk Integration v1.0?
Imagine a future where security threats are identified and neutralized before they can strike. Splunk Integration v1.0 makes this a reality. This integration empowers you to leverage the unparalleled foresight of PreCrime Intelligence within your Splunk environment.
How Does It Work?
Splunk Integration v1.0 unlocks the power of predictive threat intelligence by:
Ingesting Network Metadata: The integration seamlessly integrates with your Splunk environment, ingesting vast amounts of network metadata.
Establishing Baselines: By analyzing this data, the integration establishes baselines for normal network activity.
Detecting Anomalies: This powerful integration then continuous
Version 1.0.2
Version 1.0.1
PreCrime Intelligence, by BforeAI
PreCrime Intelligence, the predictive threat intelligence domain list, serves as your pre-emptive shield against tomorrow’s threats. By mapping and predicting malicious domain patterns through extensive datasets, we analyze network metadata to establish baselines and detect anomalies before they become breaches. Our advanced algorithms and machine learning models process vast amounts of data, enabling proactive threat detection and prevention. This cutting-edge technology helps organizations stay ahead of cyber threats, ensuring robust security and continuity. PreCrime Intelligence transforms raw data into actionable insights, offering unparalleled protection in the ever-evolving landscape of cybersecurity.
Use Cases:
Network Protection
PreCrime Intelligence enhances network protection by providing a domain blocklist data feed that includes predictive insights derived from global internet traffic analysis. This feed identifies and predicts malicious domain patterns, allowing organizations to proactively block harmful domains before they can impact network security. By integrating this data feed into their security infrastructure, organizations can preemptively protect against emerging threats and maintain a robust defense against cyberattacks.
Anti-phishing
PreCrime Intelligence strengthens anti-phishing measures through a domain blocklist data feed that targets domains associated with phishing activities. By analyzing global internet traffic and domain registration patterns, it identifies potential phishing domains early. Organizations can use this feed to update their security systems in real-time, blocking phishing attempts before they reach end-users. This proactive approach mitigates the risk of credential theft and financial fraud.
IoT Protection
PreCrime Intelligence secures IoT environments by offering a domain blocklist data feed that monitors global internet traffic for threats targeting IoT devices. By identifying malicious domains and unusual communication patterns, it helps establish protective measures against potential IoT vulnerabilities. Integrating this data feed into IoT security systems allows for early detection and blocking of harmful domains, ensuring the integrity and security of interconnected IoT devices across various applications.