Organizations are struggling with detecting hidden attacks within encrypted traffic. Traditional ways of finding and removing threats aren’t working anymore and cyberattacks are on the rise. Ransomware attacks increased by 1.5 times from just 2020 to 2021, with over 200 million ransomware attacks occurring in the first half of 2022 alone. Encrypted traffic adds extra steps and challenges in network security and with over 90% of all web traffic being encrypted, this is becoming a larger and larger problem for companies around the world.
Securing encrypted traffic adds latency, cost, and complexity to existing systems and puts burden on many different people within a company. Many IT professionals aren’t fully confident when working with these security systems. They often don’t have the tools they need to detect and analyze threats and often lack insight into threats that come from encrypted traffic.
Network detection and response platforms, or NDR platforms, detect hidden threats without adding on extra cost or latency. This is accomplished by AI that builds a fingerprint of assets and behavior patterns, which it uses to monitor for anomalous usage.
Learn more about how AI in NDR systems work and how they are more secure while being faster and more cost efficient here:
Source: Live Action
