AI EdgeLabs Certified

Agent provides remote detection against threats that exists on the physical  and virtual networks. Most of the algorithms are AI-based, so provides low false-positive rate

• real-time network monitoring and automated blocking from attacks like DoS, flooding, brute-force , spoofing and othere
• DNS security: malicious traffic detection, DNS rebinding prevention, tunneling detection etc
• Early prediction of network or Linux-based threats using ML/RL algorithms 
• Traffic inspection for anomalous patterns with RL algorithms and threat modeling
• Supported up to 48 network interfaces per Agent in parallel
• DPDK-integration supported for high-bandwidth deployment
• IPS system with various firewall integrations

AI EdgeLabs  provides advanced Endpoint Security tooling for detection, prevention and remediation. 

• 24/7 threat monitoring based on the connectivity and  installed software on the host by using eBPF
• in-depth alerts with context of adversary tactics, techniques, and procedures (TTPs).
• Signature-based analysis of the malware, ransomware and rootkits
• Deep monitoring of events inside Linux Kernel
• Adaptration process for Alerts in order to reduce noise and false-positive rate
• Advanced multi-stage (APT) attacks detection and prevention
• Playbooks ecosystem based on AI-generated prevention scenarios and predefined prevention playbooks
• AI Assistance for the EDR Events based on proprietary LLM 
• Kubernetes security for managed and on-prem Kubernetes deployments
   

AI EdgeLabs  - enables vulnerability management program that covers host-based CVE visibility and vulnerabilities inside containers. 
 

• CVE scanning for the host-based software on the remote host
• CVE scanning for the host-based software inside the containers
• Scanning supported for the Kubernetes and OpenShift runtimes
• Running Assets Prioritisation: allows to focus  precisely on the most critical CVEs.
• Exploitability detection
• Hourly CVE database update
• AI-based remediation system based on suggestions and prioritisation

AI EdgeLabs enables data-driven and smart decisions and recommendations on how to solve

specific security issues.

• SIEM alert lifecycle
• threat history and research based on historical data
• incident mapping of MITRE ATT&CK by SOC teams
• robust security audit reports and asset status
• Adaptation and Mute functionality for alerts
• Sheduled reports support
• SIEM-based integration with 3-rd parties with API