Cloud Threat Detection and Response

Advanced attacks are extremely
difficult to detect.

Once attackers compromise a cloud workload and steal credentials, most cloud security tools can't detect their lateral movement in the east-west corridor. That blindness to post-compromise activity leads to longer dwell time, providing adversaries the days, weeks, or months they need to breach critical assets.

Data Flower Graphic

With ExtraHop Reveal(x)

Detect lateral movement between cloud workloads

Reveal(x) 360 detects lateral movement between cloud workloads to uncover malicious behavior such as SSRF and CSRF payload attacks, credential enumeration, and data staging and exfiltration. Our intuitive UI adds context that streamlines investigations and enables productive threat hunting for analysts working at every level. And access to flow logs and packets provides broad coverage and deep visibility.

Get Answers to the Tough Questions

Do your existing security controls provide real-time detection of threats?

Logging and SIEMs have unacceptable delays. Reveal(x) 360 provides stealthy real-time monitoring and detection of lateral movement between cloud workloads to expose attacks in the early stages.

Do your existing security controls provide real-time detection of threats?

Logging and SIEMs have unacceptable delays. Reveal(x) 360 provides stealthy real-time monitoring and detection of lateral movement between cloud workloads to expose attacks in the early stages.

Can your network controls detect suspicious activity over encrypted channels?

Reveal(x) 360 decrypts cloud traffic in real-time at line rate, even TLS 1.3 with PFS, to discover hidden threats in critical encrypted traffic to API servers and more.

Can your network controls detect suspicious activity over encrypted channels?

Reveal(x) 360 decrypts cloud traffic in real-time at line rate, even TLS 1.3 with PFS, to discover hidden threats in critical encrypted traffic to API servers and more.

How do you track normal and abnormal activity?

Asset discovery, classification, mapping, and peer group analysis are essential to understanding relationships so you can detect suspicious outbound connections via SSH or to geographical regions where you don't operate.

How do you track normal and abnormal activity?

Asset discovery, classification, mapping, and peer group analysis are essential to understanding relationships so you can detect suspicious outbound connections via SSH or to geographical regions where you don't operate.

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Instead of spending three or four days on a problem, with ExtraHop we were able to fix it in an hour.

RICARDO BAUZA
SENIOR NETWORK ENGINEER, MAPCO