CDR (Cloud Detection and Response)

Cloud Detection and Response for AWS

Cloud Detection and Response for AWS (CDR for AWS) is a security platform that uses artificial intelligence (AI) to detect and respond to cyberattacks across your global AWS infrastructure as a service (IaaS) and platform as a service (PaaS) footprint. It is designed to help security teams identify and stop misconfiguration, credential theft, and supply chain compromise before they turn into breaches.

CDR for AWS works by collecting and analyzing data from a variety of sources, including AWS CloudTrail logs, AWS API calls, and network traffic. It then uses AI to identify patterns and anomalies that may indicate an attack. CDR also provides a variety of tools to help security teams investigate and respond to attacks, including threat hunting, forensics, and automated response.

Key benefits of using CDR for AWS

• Early detection of attacks: CDR for AWS can detect attacks early in the kill chain, before they have a chance to cause damage. This is because it uses AI to identify patterns and anomalies that may indicate an attack, even if the attacker is using new or unknown techniques.
• Reduced workload for security teams: CDR for AWS can help security teams reduce their workload by automating many of the tasks involved in detecting and responding to attacks. This includes threat hunting, forensics, and automated response.
• Improved visibility into the AWS environment: CDR for AWS provides a single, unified view of your AWS environment, making it easier for security teams to identify and investigate potential threats.

CDR for AWS is a powerful tool that can help security teams protect their AWS environments from a wide range of cyberattacks. It is a good choice for organizations of all sizes, but it is especially well-suited for large organizations with complex AWS environments.

Examples of how CDR for AWS can be used to detect and respond to cyberattacks

• Detect unusual login activity: CDR can detect unusual login activity, such as login attempts from suspicious IP addresses or at unusual times.
• Detect suspicious network traffic: CDR can detect suspicious network traffic, such as traffic to known malicious IP addresses or traffic patterns that are inconsistent with normal activity.
• Detect misconfigured resources: CDR can detect misconfigured AWS resources, such as S3 buckets that are publicly accessible or IAM roles with excessive permissions.
• Detect malware and vulnerabilities: CDR can detect malware and vulnerabilities in AWS workloads.

When CDR detects a potential threat, it can alert the security team and provide them with the information they need to investigate and respond to the threat. CDR can also automate certain response actions, such as isolating compromised resources or blocking malicious traffic.

> Learn more about Vectra AI CDR for AWS

Cloud Detection and Response for Azure AD

Cloud Detection and Response for Azure AD (CDR for Azure AD) is a security platform that uses artificial intelligence (AI) to detect and respond to identity-based cyberattacks across your Azure Active Directory (Azure AD) environment. It is designed to help security teams identify and stop malicious actors from compromising user accounts, stealing data, and launching attacks against your organization.

CDR for Azure AD works by collecting and analyzing data from a variety of sources, including Azure AD audit logs, sign-in logs, and risk detections. It then uses AI to identify patterns and anomalies that may indicate an attack. CDR also provides a variety of tools to help security teams investigate and respond to attacks, including threat hunting, forensics, and automated response.

Key benefits of using CDR for Azure AD

• Early detection of attacks: CDR for Azure AD can detect identity-based attacks early in the kill chain, before they have a chance to cause damage. This is because it uses AI to identify patterns and anomalies that may indicate an attack, even if the attacker is using new or unknown techniques.
• Reduced workload for security teams: CDR for Azure AD can help security teams reduce their workload by automating many of the tasks involved in detecting and responding to identity-based attacks. This includes threat hunting, forensics, and automated response.
• Improved visibility into the Azure AD environment: CDR for Azure AD provides a single, unified view of your Azure AD environment, making it easier for security teams to identify and investigate potential threats.

CDR for Azure AD is a powerful tool that can help security teams protect their Azure AD environments from a wide range of cyberattacks. It is a good choice for organizations of all sizes, but it is especially well-suited for large organizations with complex Azure AD environments.

Examples of how CDR for Azure AD can be used to detect and respond to identity-based cyberattacks

• Detect suspicious sign-in activity: CDR can detect suspicious sign-in activity, such as login attempts from suspicious IP addresses or at unusual times.
• Detect compromised user accounts: CDR can detect compromised user accounts by looking for unusual activity, such as failed login attempts, changes to account settings, or access to sensitive data.
• Detect anomalous behavior: CDR can detect anomalous behavior by comparing current activity to historical patterns. For example, CDR can detect if a user is suddenly accessing resources that they have never accessed before.
• Detect malicious applications: CDR can detect malicious applications that are trying to access Azure AD resources.

When CDR detects a potential threat, it can alert the security team and provide them with the information they need to investigate and respond to the threat. CDR can also automate certain response actions, such as blocking malicious applications or disabling compromised user accounts.

> Learn more about Vectra AI CDR for Azure AD

Cloud Detection and Response for Hybrid and Multi-Cloud Environments

Cloud Detection and Response (CDR) for hybrid and multi-cloud environments is a security solution that helps organizations detect and respond to cyberattacks across their on-premises, public cloud, and private cloud environments. It uses a variety of techniques, including artificial intelligence (AI), machine learning (ML), and behavioral analytics, to identify suspicious activity and threats.

CDR for hybrid and multi-cloud environments is important because it can help organizations overcome the challenges of securing complex and distributed environments. Traditional security solutions are often siloed and designed to protect specific environments, which can make it difficult to detect and respond to attacks that span multiple environments. CDR solutions, on the other hand, provide a unified view of all environments and can detect and respond to attacks more effectively.

Key benefits of using CDR for hybrid and multi-cloud environments

• Early detection of attacks: CDR solutions can detect attacks early in the kill chain, before they have a chance to cause damage. This is because they use AI and ML to identify patterns and anomalies that may indicate an attack, even if the attacker is using new or unknown techniques.
• Reduced workload for security teams: CDR solutions can help security teams reduce their workload by automating many of the tasks involved in detecting and responding to attacks. This includes threat hunting, forensics, and automated response.
• Improved visibility into hybrid and multi-cloud environments: CDR solutions provide a single, unified view of all hybrid and multi-cloud environments, making it easier for security teams to identify and investigate potential threats.

Examples of how CDR for hybrid and multi-cloud environments can be used to detect and respond to cyberattacks

• Detect anomalous network traffic: CDR solutions can detect anomalous network traffic between different environments, such as traffic that is inconsistent with normal activity or traffic to known malicious IP addresses.
• Detect suspicious login activity: CDR solutions can detect suspicious login activity, such as login attempts from suspicious IP addresses or at unusual times.
• Detect misconfigured resources: CDR solutions can detect misconfigured resources in all environments, such as S3 buckets that are publicly accessible or IAM roles with excessive permissions.
• Detect malware and vulnerabilities: CDR solutions can detect malware and vulnerabilities in workloads in all environments.

When CDR detects a potential threat, it can alert the security team and provide them with the information they need to investigate and respond to the threat. CDR solutions can also automate certain response actions, such as isolating compromised resources or blocking malicious traffic.

> Learn more about Vectra AI CDR

Cloud Detection and Response for Incident Response

Cloud Detection and Response (CDR) for incident response is the process of using cloud-native tools and techniques to detect and respond to cyberattacks in cloud environments. CDR solutions can help incident response teams to:

• Detect attacks early: CDR solutions can use AI and ML to identify suspicious activity and threats in real time, which can help incident response teams to detect attacks early in the kill chain before they have a chance to cause damage.
• Investigate attacks quickly and effectively: CDR solutions can provide incident response teams with a unified view of their cloud environments and access to a variety of tools to help them investigate attacks quickly and effectively. This can include tools for log analysis, network traffic analysis, and forensic analysis.
• Respond to attacks quickly and efficiently: CDR solutions can help incident response teams to respond to attacks quickly and efficiently by automating many of the tasks involved in incident response, such as containment, eradication, and recovery.

CDR for incident response is an important part of any organization's cloud security strategy. It can help organizations to reduce the impact of cyberattacks and protect their cloud environments from a wide range of threats.

Examples of how CDR for incident response can be used to detect and respond to cyberattacks

• Detect unusual login activity: CDR solutions can detect unusual login activity, such as login attempts from suspicious IP addresses or at unusual times. This can help incident response teams to identify compromised user accounts and prevent attackers from gaining access to sensitive data.
• Detect suspicious network traffic: CDR solutions can detect suspicious network traffic, such as traffic to known malicious IP addresses or traffic patterns that are inconsistent with normal activity. This can help incident response teams to identify and block attacks that are attempting to exploit vulnerabilities or exfiltrate data.
• Detect misconfigured resources: CDR solutions can detect misconfigured resources in cloud environments, such as S3 buckets that are publicly accessible or IAM roles with excessive permissions. This can help incident response teams to identify and remediate security vulnerabilities that could be exploited by attackers.
• Detect malware and vulnerabilities: CDR solutions can detect malware and vulnerabilities in cloud workloads. This can help incident response teams to identify and remove malware from infected systems and patch vulnerabilities that could be exploited by attackers.

When a CDR solution detects a potential threat, it can alert the incident response team and provide them with the information they need to investigate and respond to the threat. CDR solutions can also automate certain response actions, such as isolating compromised resources or blocking malicious traffic.

Automate Your Cloud Security Response With Vectra AI

Cyberattacks are becoming increasingly sophisticated and targeted, making it difficult for security teams to keep up. Vectra AI can help you automate your cloud security response and reduce the risk of data breaches and other serious incidents.

Vectra AI's cloud detection and response platform uses artificial intelligence to detect and respond to threats across your entire cloud environment. It collects and analyzes data from a variety of sources, including cloud logs, network traffic, and user activity. Vectra AI then uses this data to identify suspicious activity and threats, such as malware, intrusions, and data leakage.

Once a threat has been identified, Vectra AI can automate a variety of response actions, such as isolating compromised resources, blocking malicious traffic, and notifying security teams. This can help you to quickly and effectively contain and eradicate threats before they can cause damage.

In addition to automating your cloud security response, Vectra AI can also help you to improve your overall security posture. It provides a unified view of your cloud environment and identifies security vulnerabilities. This information can be used to improve your security configuration and reduce the risk of future attacks.

Benefits of automating your cloud security response with Vectra AI

• Faster response to threats: Vectra AI can detect and respond to threats in real time, which helps you to reduce the time it takes to contain and eradicate threats.
• Reduced workload for security teams: Vectra AI can automate many of the tasks involved in detecting and responding to threats, which frees up security teams to focus on other important tasks.
• Improved security posture: Vectra AI can help you to identify and remediate security vulnerabilities, which improves your overall security posture and reduces the risk of future attacks.

If you are looking for a way to automate your cloud security response and improve your overall security posture, then consider Vectra AI.