In a webinar held on June 17, Palo Alto Networks, a partner of TI Safe, presented a major innovation in cybersecurity: the first next generation firewall with built-in Machine Learning (ML) technology.
In a completely new approach, ML-based NGFW uses machine-learning models that identify variants of cyber attacks and that bar up to 95% of malware intrusion attempts. "Thirteen years ago, we completely changed network security when we created the next generation firewall," said Nir Zuk, founder and CTO of Palo Alto Networks, in the webinar. “As business networks are growing - with hybrid clouds, IoT devices and home offices - attacks are evolving quickly and automatically. That is why a radical new approach to cybersecurity was needed ”, he detailed.
PAN-OS version 10.0 introduces the world's first NGFW with Machine Learning in the world that continuously learns and proactively improves security, with the aim that security professionals not only keep pace, but always stay ahead. The next generation firewall (NGFW) from Palo Alto Networks:
- Helps to stop new threats by incorporating machine learning (ML) at the core of the firewall to provide real-time prevention of unsigned attacks.
- Identifies new IoT devices with ML and this identification is based on user behavior, removing the dependency on fingerprints.
- Uses CPU-intensive ML processing and cloud-based data to detect the most sophisticated attacks almost in real time.
- Leverages cloud-based ML processes to send signatures and zero delay instructions to NGFW to stop attacks and reconfigure policies.
- Continuously collect telemetry to enable CPU-intensive ML processes and cloud-based data, which recommend policy changes to optimize security utilization and results.