Understanding Cyber Attacks Through CyberShapes
Traditional cybersecurity monitoring often relies on traffic volume analysis, which can generate false positives or even miss critical threats. SecuLore’s AI tool takes a more intelligent approach.
By training the model over time through deep packet analysis of different types of cyber attacks, the AI creates unique “shapes” that correspond to specific instances of cyber attacks.
This pattern-based detection method allows the AI to differentiate between normal traffic spikes and true anomalies that allow SecuLore to identify attacks as they are developing or when they are successful.
Benefits of AI-Enhanced Threat Detection
Faster Threat Detection
AI-driven pattern analysis allows SecuLore’s SOC team to identify and respond to threats in real-time.
Improved Accuracy
Reduces false positives by distinguishing normal traffic from true cyber threats.
Proactive Defense
Not every traffic spike indicates a cyber threat, but certain behavioral patterns do. CyberShapes identifies these patterns before they cause operational disruptions.
Tailored Protection
Specifically designed for the unique cybersecurity challenges faced by 911 centers, PSAPs, and government agencies.
