Firewall | Firewall with Deep Learning

AUTOMATED THREAT RESPONSE AND DETECTION

Defend your network against threats and cyberattacks with an advanced firewall.

Deep Learning technology allows for the quick and effective detection of unknown malware hiding in suspicious uploads. This enables the prevention of exploits and the identification of threats before they access the network, without errors and automatically, thanks to synchronized security with other security products such as endpoints.

Advanced threat detection

Deep Learning models can analyze large amounts of data and recognize complex patterns associated with cyber threats, enabling the detection and blocking of attacks that traditional methods might overlook.

Adaptation to new threats

Firewalls with Deep Learning can continuously learn and adapt to new attack tactics, providing a dynamic defense that evolves with emerging threats.

Reduction of false positives

Thanks to their ability to analyze data more accurately and contextually, these systems can reduce the number of false positives, allowing security teams to focus on real threats rather than false alerts.

Faster response

Firewalls with Deep Learning can identify and respond to threats in real time, minimizing the potential impact of attacks and improving the organization's response capability.

Protection against advanced threats

Implement intrusion detection and prevention technologies (IDS/IPS), allowing for the identification and mitigation of attacks in real time, such as malware and exploits.

Network traffic filtering

The firewall monitors and controls network traffic, allowing or blocking data packets according to predefined rules. This helps protect the network from unauthorized access and external threats.

Policy-Based security

Allows the creation of customized security policies for different types of traffic and applications, ensuring that only legitimate and safe traffic is permitted.

Application control

Allows management of access to specific applications, blocking those that do not comply with the established security policies.

Anomaly detection

Uses behavior analysis algorithms to detect anomalies in traffic that could indicate malicious or unauthorized activities.

VPN support

Facilitates the creation of virtual private networks (VPNs), allowing secure connections for remote users and branch offices, encrypting data traffic.

Monitoring and logging

Offers continuous monitoring and event logging capabilities, providing detailed reports on network traffic and suspicious activities. This facilitates auditing and forensic analysis in the event of incidents.

Integration with security solutions

Can integrate with other ESED security tools and solutions, creating a depth defense architecture that enhances the overall protection of the IT infrastructure.