solutions - Use Cases - Compliance

National Institute of Standards and Technology (NIST)

Network metadata is analyzed by behavioral algorithms to detect threats in real time.
Nonstop attacker detection in all cloud/data center workloads and user/IoT devices.
Detect and prioritize cyberattacks and trigger real-time notifications to security teams.
Consistent reporting of threat detections, causes, business impacts, and steps to verify.

Get the NIST compliance brief

General Data Protection Regulation (GDPR)

Augment data handling standards by detecting unauthorized access of personal information.
Early detection of hidden cyberattacker behaviors that evade security defenses.
Meet the 72-hour notification timeframe using rich context about cyberattacks and a forensic trail of evidence.
Monitor nonstop all cloud/data center workloads and user/IoT devices for impact assessment.

Get the GDPR compliance brief

Federal Financial Institutions Examination Council (FFIEC)

Prioritize and correlate the highest-risk threats with compromised in-scope assets.
Early detection of ransomware, other malware variants and hidden attacker behaviors.
Real-time detection of suspicious use of admin credentials and data from key in-scope assets.
Nonstop detection of attack behaviors in all cloud/data center workloads and user/IoT devices.

Get the FFIEC compliance brief

Payment Card Industry Data Security Standard (PCI DSS)

Detect early signs of SQL injection attempts, even if the vulnerability or exploit is unknown.
Identify suspicious attempts by devices and user accounts to access cardholder data.
Real-time detection of compromised user credentials and sharing of access information.
Track device activity over time, even if the IP address changes and is used by multiple people.

Get the PCI DSS compliance brief

Defense Federal Acquisition Regulation Supplement (DFARS)

Baseline system behaviors by monitoring all cloud/data center workloads and user/IoT devices.
Detect the suspicious use of admin credentials and the abuse of administrative protocols.
Network metadata is analyzed by behavioral algorithms to detect threats in real time.
Detect and prioritize cyberattacks and trigger real-time notifications to security teams.

Get the DFARS compliance brief

MITRE ATT&CK for Enterprise

Automatically detect and triage 92% of network tactics identified in the MITRE ATT&CK framework.
Real-time analysis of threat behaviors in all network traffic – endpoints, servers, virtual workloads and the cloud.
Network-wide attacker detection is the most reliable and conclusive way to identify the highest-risk threats.
Goes well beyond the ATT&CK framework to detect attackers that encrypt their communication in hidden tunnels.

Get the MITRE ATT&CK compliance brief

CIS Critical Security Controls

Passively monitor and analyze all network traffic to identify authorized and unauthorized devices.
Real-time detection of suspicious use of admin credentials and data from key in-scope assets.
Early detection of ransomware, other malware variants and hidden attacker behaviors.
Detect cyberattackers in hidden DNS, HTTP and HTTPS tunnels and encrypted traffic.

Get the CIS Critical Security Controls compliance brief

Adaptive Security Architecture

Real-time automated threat detection from cloud and data center workloads to user and IoT devices.
Complement prevention efforts by providing intelligence about what to block and when.
Drive dynamic response rules, and trigger a response from security enforcement points.
Threat intelligence gathered and analyzed to minimize enterprise asset exposure and risk.

Get the Adaptive Security Architecture compliance brief