Cybersecurity Platforms and Management

This section covers terms related to various platforms and management strategies used to safeguard applications, data, and infrastructure in cloud and hybrid environments. It includes concepts like Cloud-Native Application Protection Platforms (CNAPP), Cloud Workload Protection Platforms (CWPP), and Zero Trust Architecture.

• Application Security Posture Management
  Continuously monitors and optimizes your application security posture across cloud environments. Uptycs helps identify, prioritize, and remediate vulnerabilities and misconfigurations in real-time, providing deep visibility and automated risk mitigation throughout the development lifecycle.
• Cloud Detection and Response (CDR)
  Security technologies designed to detect and respond to threats within cloud environments, providing real-time threat monitoring and automated response capabilities.
• Cloud Infrastructure Entitlement Management (CIEM)
  Solutions that manage and control access entitlements to cloud resources, ensuring users have the appropriate level of access.
• Cloud Security Posture Management (CSPM)
  Tools and processes used to continuously assess and improve the security posture of cloud environments by identifying and remediating risks.
• Cloud Workload Protection Platform (CWPP)
  A security solution focused on protecting workloads, including virtual machines, containers, and serverless functions, in cloud environments.
• Cloud-Native Application Protection Platform (CNAPP)
  An integrated suite of security and compliance tools designed to protect cloud-native applications throughout their lifecycle.
• DevSecOps
  The practice of integrating security into every phase of the software development lifecycle, fostering collaboration between development, security, and operations teams.
• Endpoint Security
  Measures and technologies used to protect endpoint devices such as computers, mobile devices, and servers from cybersecurity threats.
• Extended Detection and Response (XDR)
  An advanced security solution integrating multiple security products into a cohesive system for comprehensive threat detection and response across various environments.
• Hybrid Cloud Security
  Measures and solutions implemented to secure applications, data, and infrastructure in a hybrid cloud environment, combining on-premises and cloud-based resources.
• Identity Federation
  A method for securely sharing identity information across different organizations or systems, enabling users to access multiple services using a single set of credentials. Identity federation simplifies authentication in hybrid and multi-cloud environments while maintaining security and user convenience.
• Kubequery
  An extension of osquery designed specifically for Kubernetes environments to enhance security and visibility.
• Managed Detection and Response Services (MDR)
  Outsourced security services providing continuous monitoring, threat detection, and response capabilities managed by a team of security experts.
• Osquery
  An open-source SQL-powered tool for querying operating system data and monitoring security across various platforms.
• Security Automation and Orchestration (SOAR)
  Platforms that integrate and automate security operations, incident response, and threat intelligence to streamline workflows and enhance threat detection and remediation capabilities. SOAR enables teams to focus on critical issues by reducing manual effort and improving operational efficiency.
• Shift Up Security
  A new cybersecurity methodology aimed at eliminating tool, team, and infrastructure silos by adopting a unified approach to security operations and intelligence.
• Single Sign-On (SSO)
  An authentication technology that allows users to access multiple applications or systems with a single set of login credentials. SSO enhances user experience by eliminating the need for repeated logins while reducing password management risks.
• Zero Trust Architecture
  A security model requiring continuous verification for access to resources, based on the principle of "never trust, always verify."

Cybersecurity Operations and Processes

Understanding operations and processes in cybersecurity is important for effective threat management and incident response. This section introduces terms such as Computer Security Incident Response Teams (CSIRT), Threat Hunting, and Vulnerability Management, along with methodologies like Shift Left Security Controls and Risk Prioritization.

• Attack Path Analysis
  A proactive security measure that provides a visual representation of potential attack vectors within a cloud environment, helping to preemptively identify and mitigate risks.
• Behavioral Detection
  Techniques to identify abnormal behaviors within systems that may indicate security threats, often using machine learning.
• Cloud Compliance
  Ensuring that cloud environments and operations adhere to relevant regulatory and industry standards and best practices.
• Computer Security Incident Response Team (CSIRT)
  A team responsible for responding to and managing security incidents, including threat detection, analysis, and mitigation efforts.
• Infrastructure as Code (IaC) Security
  Comprehensive strategies and practices to ensure the security of infrastructure provisioning through code. This includes securing IaC templates, integrating policy controls, and automating compliance checks to prevent misconfigurations and vulnerabilities.
• Internet Exposure
  The vulnerabilities that arise from misconfigured cloud resources, such as EC2 instances with overly permissive security settings, which serve as entry points for attackers.
• Lateral Movement
  Techniques used by attackers to move within a compromised network, gaining access to additional systems and data after an initial breach.
• Post-Exploit Detection
  Identifying malicious activities that occur after an initial exploit, aimed at detecting further compromise within a network.
• Proactive Threat Hunting
  Actively searching for signs of malicious activity within an environment, beyond automated alerts.
• Risk Prioritization
  Integrating real-time data and contextual analysis to spotlight the most critical vulnerabilities, guiding security teams to focus on the highest risks.
• Supply Chain Security
  The practice of securing the end-to-end software development and delivery pipeline, including dependencies, third-party components, and build systems. Supply chain security aims to prevent tampering, unauthorized code insertion, and vulnerabilities in the software supply chain.
• Threat Hunting
  The proactive search for cyber threats and adversaries within a network or system, aiming to identify and neutralize potential risks before they cause harm.
• Threat Intelligence Matches
  Correlating observed activities within an organization's environment with known threat intelligence data to identify potential threats.
• TTPs (Tactics, Techniques, and Procedures)
  Patterns of behavior used by cyber adversaries, including methods of attack and tools used.
• Uptycs Academy
  An educational platform offering training and resources to help users effectively utilize Uptycs' security solutions.
• Uptycs Security Policies
  Defined rules and guidelines established by Uptycs to ensure the security and integrity of systems and data.
• Vulnerability Management
  The process of identifying, assessing, prioritizing, and mitigating security vulnerabilities in software and hardware systems.

 Telemetry and Analytics

Telemetry and analytics play a key role in monitoring and analyzing security data to detect and respond to threats. This section provides insights into terms like Security Analytics, Cloud-Based Security Analytics, and Unified Data Models, as well as tools like Flight Recorder and YARA Rule Scanning.

• Bloatware
  Refers to pre-installed software that takes up excessive storage and system resources without providing meaningful value. It often slows down device performance and occupies space with unnecessary apps or trial programs.
• CI/CD Process Security
  The implementation of security measures within Continuous Integration and Continuous Deployment pipelines to ensure the integrity and security of code throughout the development lifecycle.
• CIS Benchmarks
  Security best practice guidelines developed by the Center for Internet Security to help organizations secure their systems and data.
• Cloud-Based Security Analytics
  Security analysis conducted in the cloud, leveraging cloud resources for data processing, threat detection, and response.
• Container Runtimes
  Software components that allow containers to run and manage their lifecycle, such as Docker, containers, and CRI-O.
• Flight Recorder
  A tool that continuously records system activity, allowing for detailed analysis and investigation of security incidents.
• Kubernetes Security Posture Management (KSPM)
  Tools and practices designed to secure and manage the security posture of Kubernetes environments.
• Live and Historical Query Investigations
  The ability to perform real-time and retrospective analysis of system data to identify security incidents or performance issues.
• Managed Container Orchestration Platforms
  Services provided by third-party vendors to manage container orchestration, such as Amazon EKS, Google GKE, and Azure AKS.
• Query Packs
  Predefined sets of queries in osquery to automate the collection and analysis of security data.
• Scalability
  The ability of a system or solution to handle increased load or demand by adding resources without affecting performance.
• SDLC Policy Controls
  Security measures integrated into the Software Development Life Cycle (SDLC) to ensure compliance with security policies and best practices.
• Security Analytics
  The use of data collection, aggregation, and analysis tools to detect and respond to security threats in real time.
• Security Graph
  A visual representation of the relationships and interactions between various security entities, aiding in threat detection and analysis.
• Self-managed Kubernetes
  Kubernetes clusters that are deployed, managed, and maintained by an organization's internal team rather than by a third-party provider.
• Serverless Technologies
  Cloud services that allow developers to build and run applications without managing server infrastructure, such as AWS Lambda and Azure Functions.
• Service Mesh
  A dedicated infrastructure layer that controls service-to-service communication over a network, offering features like load balancing, encryption, and observability.
• Structured Telemetry
  Organized and systematic collection of data that provides insights into system performance and health.
• Telemetry
  The automated process of collecting and transmitting data from remote or inaccessible sources to an IT system for monitoring and analysis.
• Unified Data Models
  Standardized data structures that allow for consistent data integration, analysis, and reporting across different systems.
• YARA Scans
  A method of detecting malware and other malicious software by defining and matching patterns within files or processes.

 Security Monitoring and Compliance

Effective security monitoring and compliance are necessary for maintaining the integrity and security of cloud and container environments. This section includes terms such as Real-time Container Security Visibility, Infrastructure as Code (IaC) Scans, and Compliance Automation, highlighting the importance of continuous monitoring and adherence to security policies.

• Access Request Tracking
  Monitoring and logging requests for access to cloud resources to ensure proper authorization and traceability.
• Audit Checks
  Systematic reviews and evaluations of cloud resources and configurations to ensure compliance with security policies and standards.
• Automatic Threat Detection and Response
  Automated systems that detect and respond to security threats in real-time without human intervention.
• Best-Practice Guardrails
  Predefined policies and controls designed to enforce industry best practices within cloud environments.
• Centralized Visibility and Control
  A unified interface for monitoring and managing security across multiple cloud environments and services.
• Cloud Anomaly Detection
  Identifying unusual or unexpected behaviors within a cloud environment that could indicate security threats.
• Cloud IAM Policy Analysis
  Evaluating cloud Identity and Access Management (IAM) policies to ensure they are secure and effective.
• Cloud-Native Security Principles
  Foundational strategies designed to secure cloud-native environments by leveraging principles like least privilege, zero trust, and automation.
• Compliance Automation
  Automating the processes required to meet various compliance standards, such as NSA Kubernetes hardening checks, CIS Benchmarks, SOC 2, PCI-DSS, HIPAA, and ISO 27001.
• Configuration and Settings Monitoring
  The process of overseeing and verifying cloud configurations and settings to ensure compliance and security.
• Credential Escalation
  The process by which attackers increase their access privileges within a compromised environment, often by exploiting misconfigurations or vulnerabilities.
• Credential Exposure Analysis
  Assessing the risk of credentials being exposed to unauthorized entities, potentially leading to security breaches.
• Credential Rotation Monitoring
  Keeping track of how often and effectively credentials are rotated to minimize the risk of compromise.
• Custom Compliance Checks
  Tailored assessments that ensure cloud environments meet specific regulatory and organizational compliance requirements.
• Data Exfiltration
  The unauthorized transfer of data from a compromised system to an external location controlled by the attacker.
• Data Privacy
  The practice of ensuring that personal and sensitive data is collected, stored, and processed in compliance with legal and regulatory frameworks, such as GDPR and CCPA. Data privacy focuses on protecting individuals' rights and maintaining transparency in how data is used.
• Data Security
  Measures and technologies implemented to protect data from unauthorized access, alteration, or destruction. Data security encompasses encryption, access controls, and other safeguards to ensure the confidentiality, integrity, and availability of information.
• Graphical Kubernetes Overview
  A visual representation of a Kubernetes environment, displaying the relationships and status of various components such as nodes, pods, and services.
• Historical Trend Data
  The analysis of past data to identify patterns and trends in cloud resource usage and security incidents.
• Identity Misconfiguration Detection
  Identifying incorrect or risky configurations in identity and access management settings that could lead to security breaches.
• Identity Relationship Mapping
  Visualizing and analyzing the relationships between different identities and their access rights within a cloud environment.
• Identity Risk Posture
  An assessment of the overall security risk associated with an organization's identity and access management practices.
• Incident Response Playbooks
  Documented procedures outlining steps to take during a security incident to respond effectively.
• Indicators of Compromise (IoC)
  Data points or evidence that suggest a system may have been breached or is under attack, used for threat detection and response.
• Infrastructure as Code (IaC) Scans
  Automated checks of IaC configurations to detect and remediate security vulnerabilities and misconfigurations in infrastructure provisioning scripts.
• Insights Dashboards
  Visual interfaces that provide real-time analytics and insights into cloud security and performance metrics.
• Least Privilege Implementation
  Ensuring that users and services have the minimum level of access necessary to perform their functions, reducing the risk of security incidents.
• Namespace, Pod, and Image Risk Assessment
  The evaluation of security risks associated with Kubernetes namespaces, pods, and container images to identify and mitigate potential vulnerabilities.
• OPA Gatekeeper Policy Controls
  The use of Open Policy Agent (OPA) Gatekeeper to enforce security and compliance policies within Kubernetes environments.
• Privilege Escalation Detection
  Identifying attempts to gain unauthorized access to higher privilege levels within a cloud environment.
• Real-Time ATT&CK-Mapped Detections
  Behavioral detections that are mapped to the MITRE ATT&CK framework, providing real-time alerts and remediation steps.
• Real-time Cloud Inventory
  Continuous tracking and management of cloud resources to provide up-to-date information about all assets within a cloud environment.
• Real-time Container Security Visibility
  The capability to monitor and analyze the security status of containers in real time, identifying potential threats and vulnerabilities as they occur.
• Resource Relationship Analysis
  Examination of how different cloud resources interact and relate to one another to identify potential security risks and dependencies.
• Runtime Security
  Ensuring that only trusted and verified code is executed within a cloud or container environment, protecting against runtime threats.
• Runtime Threat Detection
  Identifying and mitigating threats as they occur in real-time within cloud environments.
• Shift Left Security Controls
  Security practices integrated early into the software development process, enabling the identification and resolution of security issues before deployment.
• Software Development Lifecycle (SDLC) Security
  Security measures implemented throughout the software development lifecycle to ensure code integrity and compliance with security policies.
• Unified API Monitoring
  Overseeing and securing API interactions to ensure they are operating correctly and securely across cloud services.
• Vulnerability Highlighting
  Identifying and emphasizing potential security weaknesses within a cloud environment for remediation.
• YARA Rule Scanning
  The process of using YARA rules to identify and categorize malware and other security threats within files and processes.