CrowdStrike Falcon Cloud Security Features

Access pre-built and custom reports and dashboards.

Creates new or streamlines existing workflows to better handle IT support tickets and service.

Provides Administration tools/console that are easy to use and learn for routine maintenance tasks

Allows for customized support for hybrid environments

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Allows users to create, edit, and relinquish user access privileges.

Provides required reports to manage business. Provides adequate logging to troubleshoot and support auditing.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns.

Stores data securely either on premise or in an adjacent cloud database to prevent loss of data at rest.

Analyzes data associated with security configurations and infrastructure to provide vulnerability insights and best practices.

Analyzes data associated with denied entries and policy enforcement, giving information of better authentication and security protocols.

Provides risk scoring for suspicious activity, vulnerabilities, and other threats.

Provides tools for managing authentication credentials such as keys and passwords.

Analyzes data associated with security configurations and infrastructure to provide vulnerability insights and best practices.

Monitors configuration rule sets and policy enforcement measures and document changes to maintain compliance.

Allows administrators to set policies for security and data governance.

Analyzes data associated with web traffic and site performance to provide vulnerability insights and best practices.

Creates new or streamlines existing workflows to better handle IT support tickets and service.

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Integrates additional security tools to automate security and incident response processes.

Allows users to track and control activity across cloud services and providers.

Provides image verification features to establish container approval requirements and continuously monitor for policy violations to identify containers with known vulnerabilities, malware, and other threats.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns and fraud indicators.

Generate insights across IT systems utilizing event metrics, logging, traces, and metadata.

Scans application and image source code for security flaws without executing it in a live environment

Monitors container activities and detects threats across containers, networks, and cloud service providers.

Protects compute resources across a networks and cloud service providers. Serves as Firewall and prompts additional authentication for suspicious users.

Allows administrative control over network components, mapping, and segmentation.

Monitors data quality and sends alerts based on violations or misuse.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns.

Analyzes data associated with denied entries and policy enforcement, giving information of better authentication and security protocols.

Monitors data quality and send alerts based on violations or misuse.

Identifies potential network security risks, vulnerabilities, and compliance impacts.

Creates reports outlining log activity and relevant metrics.

Allows users to create, edit, and relinquish user access privileges.

Ensures user access management, data lineage, and data encryption.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Track issues as vulnerabilities are discovered. Documents activity throughout the resolution process.

The rate at which scans accurately detect all vulnerabilities associated with the target.

The rate at which scans falsely indicate detection of a vulnerability when no vulnerabilitiy legitimately exists.

Runs pre-scripted vulnerability scans without requiring manual work.

Allows users to scan applications and networks for specific compliance requirements.

Analyzes network devices, servers and operating systems for vulnerabilities.

Monitors configuration rule sets and policy enforcement measures and document changes to maintain compliance.

Allows users to perfrom hands-on live simulations and penetration tests.

Scans application source code for security flaws without executing it.

Scans functional applications externally for vulnerabilities like SQL injection or XSS.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Facilitates the proactive search for emerging threats as they target servers, endpoints, and networks.

Allows administrators to set rules specified to detect issues related to issues such as sensitive data misuse, system misconfiguration, lateral movement, and/or non-compliance.

Constantly monitors system to detect anomalies in real time.

Stores information related to common threats and how to resolve them once incidents occur.

Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.

Collects information from multiple sources to cross reference and build contextual to correlate intelligence.

Monitors configuration rule sets and policy enforcement measures and document changes to maintain compliance.

Allows users to track and control security policies across cloud services and providers.

Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Detect new assets as they enter a cloud environments and networks to add to asset inventory.

Facilitates the proactive search for emerging threats as they target servers, endpoints, and networks.

Analyzes your existing cloud, network, and IT infrastructure to outline access points that can be easily compromised.

Stores information related to new and common vulnerabilities and how to resolve them once incidents occur.

Allows for vulnerability ranking by customized risk and threat priorities.

Helps define policies for access management

Uses principle of least privilege to ensure access control at granular level of specific resources and apps

Enables organization to define roles and assign access based on these roles

Tracks and logs user activities, access requests, and changes to entitlements

Detects and remediates risky, misconfigured permissions for human and machine identities using AI

Provides visibility into all users and identities across the system

Provides reporting capabilities to demonstrate compliance

Identifies, tracks, and remediates vulnerabilities

Assesses and prioritizes risks based on application context

Ensures compliance with industry standards and regulations

Ensures mechanisms are in place for enforcing security policies across applications

Integrates with existing development and DevOps tools

Automates security tasks to improve efficiency

Includes tools for analyzing trends in security incidents and vulnerabilities over time

Assigns scores to vulnerabilities based on their potential impact, helping prioritize remediation efforts

Provides customizable dashboards that present real-time data on vulnerabilities, risks, and compliance status

Scans containers, workloads, and kubernetes clusters for any misconfigurations or vulnerabilities.

Monitor live environments for anomalies, risks and threats to ensure rapid response.

Integrates with CI/CD pipelines to detect security risks early in the development life cycle.

Consolidate all security data across the tech and cloud stacks into one dashboard.

Offers an AI-powered engine to provide remediation guidance to the user based on the type of threat.

Uses context-aware analysis to identify critical and non-critical risks across vulnerabilities.

Help detect anomalies across cloud workloads which could help present a potential breach.

Offers a unified view of all cloud assets across multi-cloud platforms such as AWS, Azure, GCP etc.

Continuously scans cloud environments for any misconfigurations, and provide benchmarks and guided remediation.

Uses AI-driven models to analyze historical and current data to enable organizations to manage new exposures proactively.

Uses AI algorithms to analyze data for patterns and anomalies that signify potential risks.

Identifies, evaluates, and monitors various types of risks to understand the overall risk exposure and prioritize them based on potential impact.

Includes tools for deep analysis of risk data, providing insights into trends and patterns that support strategic risk assessment and decision-making.

Ensures seamless interaction with other systems and unification of risk data, enabling a comprehensive view and efficient management of risk exposure.

Allows for continuous surveillance of risk factors, providing timely alerts to mitigate emerging risks effectively.

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Improves performance based on feedback and experience

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Offers managed detection and response services.

Offers managed detection and response services.

Provide real‑time visibility into data exposures and activities.

Automatically scan across cloud, SaaS, on‑prem environments to locate and tag sensitive data.

Allow business‑specific or regulatory data labels beyond default frameworks.

Identify over‑permissioned users, roles, or accounts in combination with misconfigurations.

Assess data risks against regulatory frameworks and internal policies.

Prioritize findings based on data sensitivity, exploitability, and business impact.

Provide context‑aware recommendations for fixing exposures (e.g., revoke access, encrypt, misconfiguration remediation).

Integrate with CSPM, CIEM, SOAR, SIEM for automated policy enforcement.

Monitor posture over time and track remediation efforts.

Integrate with existing security infrastructure (SIEM, CASB, IAM, DSPM/CSPM/SSPM) to bring AI‑SPM into the wider security ecosystem.

Discover AI applications, agents, chatbots and integrations across SaaS, APIs and other environments.

Support continuous updates to policies and controls as AI‑tool usage evolves and new threats emerge.

Monitor data flows, permissions and resource access associated with AI integrations and tools.

Enforce AI‑specific security policies in real time, such as limiting agent permissions and blocking unauthorized AI activity.

Continuously assess AI integration risks including misconfigurations, policy violations and exposure to external AI services.

Provide dashboards, risk scores and prioritisation for remediation across the AI‑asset estate.

Monitor AI‑generated content for sensitive/regulated information and apply remediation or blocking controls.

Maintain audit logs, governance controls and reporting tied specifically to AI assets, agent behaviours and integrations.