CyberShapes™, SecuLore’s New AI Threat Detection Tool, Enhances MDR for Public Safety and Government
Cyber threats are evolving at an alarming rate, targeting critical public safety infrastructure, 911 centers, and small government agencies. SecuLore, a leader in cybersecurity for public safety, is introducing CyberShapes, a revolutionary AI-powered threat detection enhancement as part of its Managed Detection and Response (MDR) service, CyberSight™.
This new AI enhancement—deployed through SecuLore’s CyberDSP™—analyzes network packet data over time, using advanced machine learning techniques to detect different types of cyber attacks at different stages.
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.
Because each attack type has a distinct “shape” in the AI model, this allows SecuLore’s Security Operations Center (SOC) team to detect real threats in real-time.
Preventing Attacks Before They Happen
Not every traffic spike indicates a cyber threat, but certain behavioral patterns do. By leveraging AI-driven pattern recognition, SecuLore can detect and mitigate threats before they escalate into full-scale cyber attacks.
This proactive approach enhances the effectiveness of CyberSight’s 24/7/365 cybersecurity monitoring, ensuring that public safety and government agencies remain protected from sophisticated cyber threats.
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 – Identifies emerging threats before they cause operational disruptions.
- Tailored Protection – Specifically designed for the unique cybersecurity challenges faced by 911 centers, PSAPs, and government agencies.
Other Resources
- 2025 Cybersecurity Year in Review for SLED + 2026 Threat Predictions
- Nevada’s 2025 Ransomware Incident: Case Study in Detection, Response, and Recovery
- SecuLore Introduces CyberShapes™: AI-Enhanced Threat Detection for Public Safety & Critical Infrastructure
- CJIS Cybersecurity Requirements: What You Need to Know
- SonicWall Breach – Backup Files Exposed: Advice for Critical Networks



