Endpoint with XDR and MDR | Advanced antivirus

Contextual understanding

MDR provides contextual information by analyzing data across different layers of the IT environment. This context helps us understand the tactics, techniques, and procedures of cybercriminals, allowing us to act accordingly based on the type of threat.

Automated Incident Detection and Response

XDR and MDR leverage automation and machine learning to quickly identify and respond to threats. Automated response playbooks can execute predefined actions based on the threat's severity, thereby reducing response time.

Real-Time and 24/7 Monitoring

MDR offers real-time supervision and continuous automated threat detection. This proactive approach helps identify and thwart threats in their early stages.

Threat Containment

XDR can disrupt attacks by preventing their spread. It can block IP addresses or mail server domains and quarantine devices to stop the threat from propagating.

Cloud Assistance and Remote Work

MDR technology is designed to manage diverse environments, including cloud-based systems and remote devices. It’s a way to maintain security in distributed and evolving infrastructures.

Threat containment (MDR)

We deploy an endpoint capable of self-isolating compromised devices and systems after a security incident, allowing them to revert to a previous state. Once ready, they are reconnected to the network, preventing the same incident from impacting other devices.

CryptoGuard

Monitors file writes to detect encrypted files. If ransomware-like behavior is identified, it restores affected files and halts the malicious process within seconds.

Synchronized security

Endpoint, network, mobile device, wireless, email, and encryption products share real-time information and respond automatically to incidents. A centralized cloud-based console simplifies management by integrating and enabling interaction between services.

Integrated artificial intelligence

We work with endpoints that use a deep learning neural network, functioning like a human brain, with high threat detection capacity that minimizes errors.

Comprehensive incident response (MDR)

Upon detecting suspicious activity, it is investigated using AI-based analysis within a controlled environment that doesn’t impact the protected device, allowing the extent of an attack to be determined before execution.

Ransomware protection

Advanced protection that monitors and safeguards the entire attack chain. Deep learning is incorporated to predictively prevent attacks. Finally, it can revert the state of files that have been encrypted during ransomware attack detection.