Blue Hexagon

Prevent zero-day attacks inline and in real-time with the industry’s first deep and machine-learning IPS. The only solution to block unknown C2 attacks and exploit attempts in real-time using advanced threat prevention's industry-first, purpose-built inline deep learning models. Safeguard your network from known threats, such as exploits, malware, spyware, and command and control attacks, with market-leading, researcher-grade signatures that don’t compromise performance. Palo Alto ATP blocks threats at both the network and application layers, including port scans, buffer overflows, and remote code execution, with a low tolerance for false positives. Protect against the most recent and relevant malware with payload signatures, not hash, to block known and future variants of malware, and receive the latest security updates from Advanced WildFire in seconds. Add to your threat coverage with flexible Snort and Suricata rule conversion for customized protections.

Deep Instinct is the first and only company to apply end-to-end deep learning to cybersecurity. Unlike detection and response-based solutions, which wait for the attack before reacting, Deep Instinct’s solution works preemptively. By taking a preventative approach, files and vectors are automatically analyzed prior to execution, keeping customers protected in zero time. This is critical in a threat landscape, where real time is too late. With the aim of eradicating cyber threats from the enterprise, Deep Instinct protects against the most evasive known and unknown cyberattacks with unmatched accuracy, achieving highest detection rates and minimal false positives in tests regularly performed by third parties. Providing protection across endpoints, networks, servers, and mobile devices, the lightweight solution can be applied to most OSs and protects against both file-based and fileless attacks.