Reminder of NIST framework topcs - Identify, Protect, Detect, Respond, Recover

Reminder of NIST framework topics - Identify, Protect, Detect, Respond, Recover

Official NIST framework website is here - https://www.nist.gov/cyberframework

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Identify¶

Cyber Risk Quantification: Measuring and expressing cybersecurity risks in financial terms to inform decision-making.
Cybersecurity Compliance: Adhering to laws, regulations, and standards related to data protection and cybersecurity.
Cybersecurity Frameworks and Standards: Guidelines and best practices for managing cybersecurity risks, such as NIST, ISO/IEC 27001, etc.
Cybersecurity Governance Frameworks: Establishing policies, roles, and responsibilities to manage and oversee an organization’s cybersecurity efforts.
Cybersecurity Maturity Models: Frameworks that assess an organization's cybersecurity capabilities and guide improvements, such as the Cybersecurity Maturity Model Certification (CMMC).
Cybersecurity Metrics and Key Performance Indicators (KPIs): Quantitative measures used to evaluate the effectiveness of an organization’s security strategies and practices.
Data Classification: Categorizing data based on sensitivity and implementing appropriate protection measures.
Data Sovereignty: Ensuring data is stored and processed in compliance with regional and national regulations.
Digital Identity Management: Managing and securing digital identities and credentials to prevent unauthorized access.
Identity Governance and Administration (IGA): Managing and controlling user identities and access rights across systems.
Privacy Impact Assessment (PIA): Evaluating how personal information is collected, used, and protected to ensure compliance with privacy laws.
Risk Assessment and Management: Identifying, evaluating, and prioritizing risks to minimize their impact.
Security Certifications and Standards: Industry-recognized certifications and standards that validate an organization’s cybersecurity practices, such as CISSP and ISO 27001.
Supply Chain Risk Management: Assessing and mitigating risks associated with third-party vendors and suppliers.
Third-Party Risk Assessment: Evaluating the security practices of external vendors and partners to prevent data breaches and vulnerabilities.
Threat Intelligence Platforms (TIPs): Tools and solutions that aggregate and analyze threat data to provide actionable insights for proactive defense.
Threat Modeling: Identifying potential threats and vulnerabilities in a system to mitigate risks proactively.

Protect¶

API Security: Protecting Application Programming Interfaces (APIs) from threats and ensuring secure communication.
Access Control Lists (ACLs): Rules that define permissions for users and devices to access specific resources within a network.
Access Control Policies: Defining and enforcing policies for user and system access to resources.
Advanced Encryption Standards (AES): Using robust encryption algorithms to protect data confidentiality and integrity.
Advanced Threat Protection (ATP): Solutions designed to detect, prevent, and respond to sophisticated cyber threats.
Antivirus Software: Programs that detect and remove viruses and malware from your computer.
Application Programming Interface (API) Security: Protecting APIs from threats and ensuring secure communication between applications.
Attribute-Based Access Control (ABAC): Granting access based on user attributes, such as job function or department.
Authentication: Verifying the identity of a user or system before granting access to resources.
Authorization: Granting permissions and access rights to authenticated users or systems based on predefined policies.
Behavioral Analytics: Monitoring user behavior patterns to detect anomalies and potential insider threats.
Biometric Security: Using biological characteristics, like fingerprints or facial recognition, to authenticate and secure access.
Cloud Access Security Brokers (CASBs): Solutions that provide visibility and control over data and applications in cloud environments.
Cloud Compliance and Governance: Ensuring cloud environments adhere to regulatory and security standards.
Cloud Compliance and Governance: Ensuring cloud environments adhere to regulatory and security standards.
Cloud Encryption: Encrypting data stored and transmitted in cloud environments to protect it from unauthorized access.
Cloud Security Posture Management (CSPM): Continuously monitoring and managing cloud security configurations and compliance.
Cloud Security: Protecting data, applications, and infrastructure in cloud environments from cyber threats.
Cloud Workload Protection Platform (CWPP): Securing workloads across multiple cloud environments, including containers and VMs.
Container Security: Securing containerized applications and environments, such as Docker and Kubernetes.
Continuous Integration and Continuous Deployment (CI/CD) Security: Securing the software development pipeline to prevent vulnerabilities during the integration and deployment processes.
Continuous Security Monitoring: Ongoing surveillance of systems and networks to detect and respond to security threats in real time.
Critical Infrastructure Protection (CIP): Safeguarding essential services and assets, such as power grids and water systems, from cyber threats.
Cross-Domain Security: Securing data transfers and interactions between different security domains or levels of classification.
Cryptographic Hash Functions: Using algorithms to convert data into a fixed-size string of characters, ensuring data integrity.
Cybersecurity Compliance: Adhering to laws, regulations, and standards related to data protection and cybersecurity.
Data Anonymization and Masking: Techniques used to protect personal and sensitive data by removing or obfuscating identifiable information.
Data Encryption: Converting data into a secure format to prevent unauthorized access.
Data Loss Prevention (DLP): Detecting and preventing unauthorized access, transmission, or deletion of sensitive data.
Data Masking: Obfuscating sensitive data to protect it from unauthorized access while maintaining usability.
Database Security: Protecting databases from threats by implementing access controls, encryption, and monitoring.
Device Hardening: Strengthening devices by configuring security settings, removing unnecessary services, and applying security patches.
Digital Certificate Management: Administering and securing digital certificates used for authentication and encryption.
Digital Certificate Management: Administering and securing the digital certificates and keys used for authentication and encryption.
Digital Rights Management (DRM): Controlling access and usage of digital content to protect intellectual property.
Digital Rights Management (DRM): Controlling access and usage of digital content to protect intellectual property.
Digital Rights Management (DRM): Controlling access and usage of digital content to protect intellectual property.
Digital Twin Security: Protecting virtual models of physical assets from cyber threats and ensuring data integrity.
Digital Watermarking: Embedding information into digital content to protect intellectual property and track usage.
Dynamic Application Security Testing (DAST): Analyzing running applications for vulnerabilities and security issues in real time.
Encryption: The process of converting information into a code to prevent unauthorized access.
Endpoint Security: Protecting end-user devices like laptops, desktops, and mobile devices from cyber threats.
Federated Identity Management (FIM): Allowing users to access multiple systems and applications with a single identity.
Firewalls: Controlling incoming and outgoing network traffic based on predefined security rules.
Hybrid Cloud Security: Securing environments that combine private and public cloud resources.
Identity Proofing and Verification: Processes that verify the identity of users before granting access to systems and data.
Identity and Access Management (IAM): Controlling who has access to what resources in an organization, ensuring only authorized users can access sensitive data.
Incident Simulation and Drills: Conducting simulated cyber incidents to test and improve response capabilities.
Information Rights Management (IRM): Controlling access and usage of sensitive information through digital rights management.
Infrastructure as a Service (IaaS) Security: Securing virtualized computing resources provided by cloud service providers.
Intrusion Detection and Prevention Systems (IDPS): Systems designed to detect and potentially prevent unauthorized access to a network or system.
Least Privilege Principle: Providing users and systems with the minimum level of access required to perform their tasks.
Microservices Security: Protecting microservices architectures by implementing security controls at the service level.
Mobile Device Management (MDM): Administering and securing mobile devices within an organization, including policy enforcement and data protection.
Multi-Factor Authentication (MFA): Requiring multiple forms of verification before granting access to systems and data.
Network Security: Protecting the data and resources of a network, including monitoring and controlling access to ensure that only authorized users can access the network.
Network Segmentation: Dividing a network into smaller, isolated segments to improve security and control access.
Network Traffic Analysis: Monitoring and analyzing network traffic to identify potential threats and anomalies.
Operational Technology (OT) Security: Protecting systems that manage industrial operations, such as power plants and manufacturing facilities.
Operational Technology (OT) Security: Protecting systems that manage industrial operations, such as power plants and manufacturing facilities.
Password Management: Implementing strong password policies and encouraging the use of password managers.
Passwordless Authentication: Implementing authentication methods that do not rely on traditional passwords, such as biometrics and security keys.
Passwords and Authentication: Using strong passwords and methods like two-factor authentication to protect accounts.
Patch Management: Regularly updating software to fix vulnerabilities and bugs that can be exploited by attackers.
Physical Security and Cybersecurity Integration: Combining physical security measures with cybersecurity practices to protect an organization’s assets comprehensively.
Platform as a Service (PaaS) Security: Protecting applications and services built on cloud platforms.
Privacy and Data Protection: Ensuring that personal and sensitive data is protected from unauthorized access and misuse.
Privacy and Ethics in Cybersecurity: Addressing ethical considerations and privacy concerns related to data collection and use.
Privacy by Design: Integrating privacy considerations into the development and design of systems and processes.
Public Key Infrastructure (PKI): A framework of policies and procedures to create, manage, distribute, use, store, and revoke digital certificates and manage public-key encryption.
Remote Access Security: Protecting remote access connections to prevent unauthorized access to networks and systems.
Role-Based Access Control (RBAC): Assigning access permissions based on user roles within an organization.
Secure Code Review: Analyzing source code to identify security vulnerabilities and ensure compliance with best practices.
Secure Coding Practices: Writing code that adheres to security standards to prevent vulnerabilities.
Secure DevOps (DevSecOps): Integrating security practices into the DevOps process to ensure software is secure from development to deployment.
Secure File Transfer Protocols: Ensuring data is securely transferred over networks using protocols like SFTP and HTTPS.
Secure File Transfer Protocols: Ensuring data is securely transferred over networks, including SFTP and HTTPS.
Secure Internet of Things (IoT) Protocols: Developing and using protocols to protect IoT devices and networks from cyber threats.
Secure Internet of Things (IoT) Protocols: Developing and using protocols to protect IoT devices and networks from cyber threats.
Secure Microservices Architecture: Designing and securing microservices-based applications to prevent vulnerabilities and data leaks.
Secure Multi-Party Computation (SMPC): Cryptographic methods allowing parties to jointly compute a function over their inputs while keeping those inputs private.
Secure Network Architecture: Designing network infrastructures with security in mind to protect against attacks and vulnerabilities.
Secure Sockets Layer (SSL) and Transport Layer Security (TLS): Protocols that provide encryption and secure communication over a computer network.
Secure Software Development Lifecycle (SDLC): Incorporating security practices throughout the software development process.
Secure Software Development: Designing software with security in mind, including practices to prevent vulnerabilities and exploits.
Security Awareness Campaigns: Initiatives designed to educate users about cybersecurity threats and best practices.
Security Awareness Training: Educating employees and users about cybersecurity best practices to prevent human errors and social engineering attacks.
Security Awareness Training: Educating employees and users about cybersecurity threats and best practices.
Security Configuration Management: Ensuring systems and applications are configured securely to minimize potential attack surfaces.
Security Information and Event Management (SIEM): Systems that provide real-time analysis of security alerts generated by applications and network hardware.
Security Operations Center (SOC): A centralized unit that monitors, detects, and responds to cybersecurity incidents.
Security by Design: Integrating security measures into the design phase of systems and software development to minimize vulnerabilities from the start.
Self-Healing Systems: Technologies that automatically detect, diagnose, and repair security issues without human intervention.
Self-Sovereign Identity (SSI): Allowing individuals to control their digital identities without relying on centralized authorities.
Serverless Security: Protecting serverless computing environments and functions from threats.
Serverless Security: Securing functions and applications running in serverless computing environments.
Software Composition Analysis (SCA): Identifying and managing vulnerabilities in open-source components and libraries.
Static Application Security Testing (SAST): Examining source code for vulnerabilities and weaknesses before an application is deployed.
Supply Chain Security: Managing risks associated with third-party vendors and suppliers to ensure they do not introduce vulnerabilities.
Threat Intelligence Platforms (TIPs): Tools and solutions that aggregate and analyze threat data to provide actionable insights for proactive defense.
Threat Intelligence: Gathering and analyzing information about potential or current threats to help organizations anticipate and mitigate attacks.
Tokenization: Converting sensitive data into non-sensitive equivalents (tokens) to reduce exposure and risk.
Tokenization: Replacing sensitive data with non-sensitive tokens to reduce exposure and risk.
Virtual Private Networks (VPNs): Encrypted connections that allow users to securely access a private network over the internet.
Virtualization Security: Protecting virtual machines and environments from threats and vulnerabilities.
Vulnerability Scanning: Automated tools and processes that identify and assess vulnerabilities within a system or network.
Web Application Firewalls (WAF): Filtering and monitoring HTTP traffic to protect web applications from attacks.
Web Content Filtering: Blocking or restricting access to certain websites or content to prevent exposure to harmful materials.
Wi-Fi Security: Securing wireless networks using protocols like WPA3 to prevent unauthorized access.
Zero Trust Security Model: A security framework where trust is never assumed, and every request is verified as though it originates from an open network.

Detect¶

AI and Machine Learning in Security: Using AI and ML to detect anomalies, predict threats, and automate security processes.
Advanced Persistent Threats (APTs): Long-term targeted attacks where intruders gain access to a network and remain undetected to gather information over time.
Automated Threat Detection: Using machine learning and AI to detect threats and anomalies in real time.
Behavioral Analytics: Monitoring user behavior patterns to detect anomalies and potential insider threats.
Blockchain Security: Securing blockchain technology, which underpins cryptocurrencies and offers decentralized and tamper-proof records.
Botnet Detection and Mitigation: Identifying and neutralizing networks of infected devices controlled by attackers.
Continuous Security Monitoring: Implementing ongoing surveillance of systems and networks to detect and respond to threats in real-time.
Credential Stuffing Attacks: Automated attacks using stolen credentials to gain unauthorized access to accounts.
Cyber Espionage: The use of cyber techniques to gather information and intelligence from adversaries or competitors.
Cyber Threat Hunting: Proactively searching through networks and systems to detect and isolate advanced threats that evade existing security solutions.
Dark Web Monitoring: Tracking and analyzing activities on the dark web to identify potential threats and data leaks.
Deception Technology: Creating decoys and traps within a network to detect, analyze, and divert cyber attackers.
Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks: Attacks designed to overwhelm a network or service with traffic, rendering it unusable.
Digital Forensics and Incident Investigation: Analyzing digital evidence and conducting investigations to understand the scope and impact of cyber incidents.
Endpoint Detection and Response (EDR): Continuous monitoring and analysis of endpoint activity to detect and respond to threats.
Incident Response Plan (IRP): Developing a structured approach to detect, respond to, and recover from cyber incidents.
Insider Threat Detection: Identifying and mitigating risks posed by employees or contractors who may harm the organization.
Internet of Things (IoT) Security: Securing devices and networks connected to the internet, such as smart home devices, to prevent unauthorized access.
Intrusion Detection Systems (IDS): Monitoring network traffic for suspicious activity and potential threats.
Malware Analysis: Investigating and understanding the behavior and impact of malicious software.
Malware: Malicious software designed to harm or exploit any programmable device or network. This includes viruses, worms, Trojans, ransomware, etc.
Network Access Control (NAC): Restricting network access to authorized users and devices.
Network Traffic Analysis: Monitoring and analyzing network traffic to identify potential threats and anomalies.
Open Source Intelligence (OSINT): Collecting and analyzing publicly available information to identify threats and vulnerabilities.
Quantum Computing and Cryptography: Exploring the impact of quantum computing on current cryptographic methods and developing quantum-resistant algorithms.
Ransomware: A type of malware that encrypts a victim's files and demands payment (ransom) to restore access to the data.
Root Cause Analysis (RCA): Investigating the underlying causes of a cyber incident to prevent recurrence.
SIEM: Aggregating and analyzing security data to detect and respond to threats.
Sandboxing: Isolating applications in a controlled environment to prevent malware from affecting other parts of a system.
Security Data Lakes: Centralized repositories for storing and analyzing large volumes of security data to gain insights and improve threat detection.
Security Operations Center (SOC): A centralized unit that monitors, detects, and responds to cybersecurity incidents.
Security Token Offerings (STOs): A method of raising capital through tokenized digital securities that are compliant with regulatory frameworks.
Threat Detection and Response Platforms: Integrating tools and technologies to detect and respond to cyber threats in real-time.
Threat Intelligence: Gathering and analyzing information about threats to enhance security defenses.
Threat Modeling and Analysis: Identifying potential threats and vulnerabilities to develop effective defense strategies.
User and Entity Behavior Analytics (UEBA): Monitoring user and system behavior to identify anomalies and potential threats.
Zero-Day Exploits: Vulnerabilities in software that are unknown to the software developer and can be exploited by hackers.
Zero-Day Vulnerability Management: Proactively identifying and patching vulnerabilities before they can be exploited by attackers.

Respond¶

Business Continuity Planning (BCP): Ensuring critical business functions continue during and after a cyber incident.
Crisis Communication: Managing communication during a cyber incident to maintain trust and transparency.
Cybersecurity Insurance: Providing financial protection against losses resulting from cyber incidents and breaches.
Cybersecurity Leadership and Strategy: Developing and implementing strategic plans to guide an organization’s cybersecurity efforts.
Digital Forensics: Collecting and analyzing digital evidence to investigate cyber incidents.
Disaster Recovery Planning (DRP): Developing strategies to recover IT systems and data after a disruptive event.
Ethical Hacking: Also known as penetration testing, ethical hacking involves testing a system's security to find vulnerabilities that could be exploited by attackers.
Incident Command System (ICS): A standardized approach to managing cybersecurity incidents and coordinating response efforts.
Incident Response: The process of responding to and managing a security breach or attack to minimize damage.
Insider Threat Detection and Mitigation: Identifying and addressing risks posed by insiders with access to sensitive data.
Insider Threat Detection and Mitigation: Identifying and addressing risks posed by insiders with access to sensitive data.
Insider Threats: Security risks that come from within an organization, often by employees or contractors with access to sensitive data.
Phishing: A technique used by attackers to trick people into giving out personal information by pretending to be a trustworthy source.
Post-Incident Review: Analyzing incidents after they occur to identify lessons learned and improve security practices.
Proactive Security Measures: Implementing strategies and technologies to anticipate and prevent potential threats.
Red Team/Blue Team Exercises: Conducting simulated attacks and defenses to test and improve security posture.
Red Team/Blue Team Exercises: Conducting simulated attacks and defenses to test and improve security posture.
Red Teaming and Blue Teaming: Red teams simulate attacks to test defenses, while blue teams defend against these simulated attacks, enhancing overall security.
Resilience Testing: Assessing an organization’s ability to withstand and recover from cyber incidents.
Root Cause Analysis (RCA): Investigating the underlying causes of a cyber incident to prevent recurrence.
Security Audits and Assessments: Conducting evaluations to assess an organization’s security posture and compliance.
Security Awareness Metrics: Measuring the effectiveness of security awareness training and programs within an organization.
Security Awareness Training: Educating employees and users about cybersecurity best practices to prevent human errors and social engineering attacks.
Security Champion Programs: Identifying and training individuals within an organization to advocate for security best practices.
Security Operations Center (SOC): A centralized unit that monitors, detects, and responds to cybersecurity incidents.
Security Policy Enforcement: Implementing mechanisms to ensure compliance with security policies and procedures.
Social Engineering: Manipulating people into divulging confidential information, often through psychological tricks.
Tabletop Exercises: Simulating cyber incidents to test and improve incident response capabilities.
Third-Party Security Audits: Independent evaluations of an organization’s security posture by external experts.
Threat Intelligence: Gathering and analyzing information about potential or current threats to help organizations anticipate and mitigate attacks.

Recover¶

Artificial Intelligence in Cybersecurity: Using AI and machine learning to enhance threat detection, response, and prevention.
Blockchain and Distributed Ledger Security: Securing decentralized systems and ensuring the integrity and confidentiality of transactions.
Business Impact Analysis (BIA): Assessing the impact of disruptions on critical business functions and processes.
Continuous Integration/Continuous Deployment (CI/CD) Security: Securing the software development pipeline to prevent vulnerabilities during integration and deployment.
Critical Infrastructure Protection (CIP): Safeguarding essential services and assets, such as power grids and water systems, from cyber threats.
Cyber Resilience: The ability of an organization to continue operating effectively despite experiencing cyber attacks or incidents.
Cyber Resilience: The ability of an organization to continue operating effectively despite experiencing cyber attacks or incidents.
Cyber Threat Hunting: Proactively searching for and identifying threats within an organization’s network.
Cybersecurity Architecture: Designing and implementing secure infrastructures that protect against cyber threats.
Cybersecurity Compliance: Adhering to laws, regulations, and standards related to data protection and cybersecurity.
Cybersecurity Leadership and Strategy: Developing and implementing strategic plans to guide an organization’s cybersecurity efforts.
Cybersecurity Workforce Development: Building skills and competencies within the cybersecurity workforce to address emerging threats and challenges.
Data Loss Prevention (DLP): Strategies and tools to prevent unauthorized access and transmission of sensitive data.
Digital Forensics and Incident Investigation: Analyzing digital evidence and conducting investigations to understand the scope and impact of cyber incidents.
Digital Transformation and Security: Balancing innovation and security as organizations adopt new technologies and digital processes.
Disaster Recovery Planning (DRP): Developing strategies to recover IT systems and data after a disruptive event.
Disaster Recovery Planning (DRP): Developing strategies to recover IT systems and data after a disruptive event.
Forensics and Incident Analysis: Investigating cyber incidents to understand how they occurred and how to prevent future occurrences.
Post-Incident Review: Analyzing incidents after they occur to identify lessons learned and improve security practices.
Post-Quantum Cryptography: Developing cryptographic algorithms resistant to quantum computing attacks.
Quantum Key Distribution (QKD): Using quantum mechanics to secure communication channels and distribute encryption keys.
Resilience Testing: Assessing an organization’s ability to withstand and recover from cyber incidents.
Resilience Testing: Assessing an organization’s ability to withstand and recover from cyber incidents.
Secure Internet of Things (IoT) Protocols: Developing and using protocols to protect IoT devices and networks from cyber threats.
Secure Internet of Things (IoT) Protocols: Developing and using protocols to protect IoT devices and networks from cyber threats.
Security Audits and Assessments: Evaluations of an organization’s security posture to identify weaknesses and recommend improvements.
Security Awareness Training: Educating employees and users about cybersecurity threats and best practices.
Security Configuration Management: Ensuring systems and applications are configured securely to minimize potential attack surfaces.
Self-Healing Systems: Technologies that automatically detect, diagnose, and repair security issues without human intervention.
Supply Chain Security: Protecting against risks posed by third-party vendors and suppliers.

Happy learning

Antonio Feijao UK