AI Threat Intelligence

Simple, straightforward and effective. 

AI applied to proactive detection of emerging threats.

decades of applied research

Decades of research into artificial intelligence (AI) have led to significant advances in the field and have paved the way for the development of more sophisticated and intelligent systems.

Improved algorithms

AI research has led to the development of more advanced algorithms that can analyze large amounts of data and learn from it.

These algorithms can be used to improve the accuracy and speed of many systems, such as speech recognition or image recognition.

New techniques and methodologies

Decades of research into AI have provided a solid foundation for the development of more intelligent systems. As AI technology continues to evolve, it is likely that we will see further improvements in the accuracy, speed, and sophistication of these systems.


What Makes Us Different

Pattern recognition

AI algorithms can analyze large amounts of data and identify patterns that are indicative of potential threats. For example, AI can be trained to recognize patterns in network traffic that may indicate a cyberattack.

Anomaly detection

AI can also be used to identify unusual activity that may indicate a threat. Anomaly detection algorithms can analyze data from various sources, such as network logs or user behavior, and alert security teams when something appears out of the ordinary.

Predictive analytics

AI can use historical data to make predictions about future threats. For example, it can analyze data on past cyberattacks to identify common characteristics and predict where future attacks may occur.

Natural Language Processing

AI can be used to analyze language used in communications such as emails or social media messages to identify threats, such as threats of violence or harassment.