Remote work environments face different cybersecurity threats, including DNS hijacking, SQL injection, web phishing, and man-in-the-middle (MitM) attacks, all of which can compromise sensitive data and network integrity.
We at “Scutum Security Inc.” address these challenges by integrating advanced AI-powered anomaly detection within our platform modules:
Scutum MONitoring (SMON), Scutum Secure Access (SSA), and Scutum DN (SDNS).
This integration enables the early identification of unusual user behaviors and network traffic patterns indicative of potential breaches, thus helping businesses proactively protect their IT infrastructure at a reasonable IT costs.
What do we offer in our Product?
Key Features of Scutum’s AI Integration:
- Report Alarming: Automatically sends alerts to designated personnel when unusual conditions arise, ensuring quick incident response.
- Top 10 with AI: Highlights critical network insights such as frequent access points and top security risks, simplifying monitoring.
- Detailed AI Report Analysis: Transforms vast amounts of network data into actionable intelligence, facilitating informed decision-making.
- Anomaly Detection: Detects abnormal network activity or user behavior in real time, alerting IT teams before threats escalate.
Additionally, Scutum’s AI is continuously trained on extensive datasets that cover both normal and malicious activities within a Zero Trust Network Access (ZTNA) framework. This ongoing learning process allows it to adapt rapidly to evolving cyber threats and user patterns. Real-time feedback from network monitoring further refines the AI’s accuracy, minimizing false alerts and improving threat detection over time.
By combining AI-driven anomaly detection with advanced reporting and alerting capabilities, we at “Scutum Security” empower organizations to safeguard remote work environments without compromising user experience or network performance.
