A
- Access Control
- Agile Development
- AI Analytics
- AI Marketing
- Anomaly Detection
- App Code Obfuscation
- App Security
- Application Development
- Application Hardening
- Application Infrastructure
- Application Management
- Application Modernization
- Application Programming Interface (API)
- Application Security Testing (AST)
- Application Transformation
- Applied Artificial Intelligence
- Artificial Intelligence
- Asset Management
- Authentication
- Authorization
- Automated Machine Learning
- Automation Solutions
B
- Behavior-Driven Development (BDD)
- Behavioral Analysis
- Big Data
- Big Data Analytics
- Big Data Visualization
- Binary Analysis
- BlueOps Vulnerabilities
- Bug Bounty Programs
- Build Automation
- Building Analytics
- Building Management System
- Building Technologies
- Business Analytics
- Business Continuity Planning
C
- Chatbots
- CI/CD Tools
- Cloud Configuration
- Cloud Consulting
- Cloud Infrastructure
- Cloud Managed Services
- Cloud Management
- Cloud Migration Solutions
- Cloud Security
- Cloud Workspace
- Code Analysis Tools
- Compliance
- Configuration Management
- Container Security
- Continuous Delivery (CD)
- Continuous Deployment
- Continuous Integration (CI)
- Continuous Monitoring
- Conversational AI
- Credential Management
- Cross-Site Scripting (XSS)
- Cryptography Compliance Audits
- Customer Experience Strategy
- Customer Intelligence
- Cyber Security
D
- Data Analytics
- Data Loss Prevention
- Data Migration
- Data Platform
- Data Privacy
- Data Science
- Data Transformation
- Deep Learning
- Denial of Service (DoS)
- Dependency Scanning
- DevOps
- DevSecOps Pipeline
- Digital Engineering
- Digital Forensics
- Digital Transformation
- Disaster Recovery
- Distributed Version Control System (DVCS)
- Dynamic Application Security Testing (DAST)
E
- Embedded Engineering
- Encryption Key Management
- Endpoint Security
- Energy data analytics
- Energy Management
- Enterprise Application Services
- Enterprise Resource Planning (ERP)
- Enterprise Service Management (ESM)
- Ethical Hacking
- Event Logging
- Exploit Development
F
- False Positive
- File Integrity Monitoring
- Fileless Malware
- Firewall Configuration
- Forward Chaining Rules
- Fraud Detection
- Fraud Intelligence
- Fuzz Testing
- Fuzzy Logic
G
H
I
- Identity and Access Management (IAM)
- Incident Response
- Industrial IoT (IIoT)
- Industry 4.0
- Infrastructure as Code (IaC)
- Infrastructure Security
- Innovation Product Design
- Innovation Product Development
- Integration Testing
- Intelligent Automation
- Intelligent Process Automation
- Interactive Application Security Testing (IAST)
- Internet of Things (IoT)
- Internet of Things Platform
- Internet of Things Strategy
- Intrusion Detection System (IDS)
- IT/OT Convergence
J
- Jailbreaking
- Jamming Attacks
- Java Security
- JSON Web Tokens (JWT)
- Julia Programming Language
- Just-In-Time (JIT) Compilation
K
- Kernel Security
- Key Management Service (KMS)
- Knowledge-Based Authentication (KBA)
- Kubernetes Security
L
M
- Machine Learning (ML)
- Malware Analysis
- Man-in-the-Middle (MitM) Attacks
- Marketing Analytics
- Marketing Automation
- Marketing Technology
- Memory Protection
- Microservices
- Mobile Applications Security Testing (MAST)
- Mobile Device Management (MDM)
- Multi-Factor Authentication (MFA)
N
- Natural Language Processing (NLP)
- Network Intrusion Detection
- Network Segmentation
- Neural Network
- Next-Generation Firewalls (NGFW)
- NIST Compliance
- Non-Repudiation
O
- OAuth Protocol
- Obfuscation Techniques
- Offline Authentication
- Omnichannel Commerce
- Omnichannel Customer Experience (CX)
- Omnichannel Marketing
- Open API
- Open Web Application Security Project (OWASP)
- Open-Source Security
- Operational Efficiency
- Operations Intelligence
- Operations Strategy
- Orchestration Tools
- Out-of-Band (OOB) Authentication
P
- Patch Management
- Penetration Testing (Pen Testing)
- Phishing Detection
- Pipeline as Code
- Port Scanning
- Privileged Access Management (PAM)
- Process Analysis
- Process Automation
- Process Innovation
- Process Mapping
- Process Technology
- Protocol Analysis
Q
- Quality Assurance (QA)
- Quality Engineering and Assurance
- Quality Management Services
- Quantum Cryptography
- Quarantine Procedures
- Query Injection
R
- R Language
- Ransomware Protection
- Red Team Assessments
- Remediation
- Remote Collaboration
- Risk Assessment
- Risk Assessment Automation
- Robotic Process Automation (RPA)
- Rootkit Detection
- Runtime Application Self-Protection (RASP)
S
- Sandbox Environments
- Secure Coding Practices
- Security Automation
- Security Awareness Training
- Security Champions
- Security Information and Event Management (SIEM)
- Security Orchestration
- Security Posture
- Shift-Left Security
- Smart City
- Smart Home
- Smart Manufacturing
- Smart Meters
- Smart Products
- Smart Spaces
- Software as a Service (SaaS)
- Software Composition Analysis (SCA)
- Software Defined Networking (SDN)
- Software Development Life Cycle (SDLC)
- Static Application Security Testing (SAST)
- Structured Data
T
- Telehealth
- Telemedicine
- Test Automation
- Test-Driven Development (TDD)
- Thick Data
- Threat Hunting
- Threat Intelligence
- Threat Modeling
- Tokenization
- Trade Finance Process Automation
- Trojan Detection
- Two-Factor Authentication (2FA)
U
- UEFI Secure Boot
- Unified Device Management
- Unified Threat Management (UTM)
- Unstructured Data
- URL Filtering
- User Behavior Analytics (UBA)
- User Experience Design
- User Provisioning
V
- Vendor Risk Management
- Version Control Systems
- Virtual Reality (VR)
- Virus Scanning
- Voice Biometrics
- VPN Configuration
- Vulnerability Assessments (VA)
- Vulnerability Management
- Vulnerability Remediation
W
- Web Application Firewall (WAF)
- Web Security Standards
- White Box Testing
- Wi-Fi Protected Access (WPA)
- Wireless Security
X
Y
Z
GDPR Compliance
Simple Definition for Beginners:
GDPR compliance refers to adhering to the General Data Protection Regulation (GDPR), a set of EU regulations designed to protect individuals’ personal data by defining how organizations collect, process, store, and manage such data.
Common Use Example:
Companies ensure GDPR compliance by implementing data protection policies, obtaining user consent for data processing, securing data storage, appointing a Data Protection Officer (DPO), and adhering to GDPR principles for data privacy and security.
Technical Definition for Professionals: GDPR compliance involves implementing measures, practices, policies, and controls to ensure adherence to the General Data Protection Regulation (GDPR), a comprehensive EU data protection law aimed at safeguarding the privacy rights of individuals and harmonizing data protection rules across EU member states. Key aspects and requirements of GDPR compliance include:
- Data Protection Principles: Adhering to GDPR principles, including lawfulness, fairness, transparency, purpose limitation, data minimization, accuracy, storage limitation, integrity, confidentiality, and accountability in handling personal data.
- Lawful Basis for Processing: Identifying and documenting lawful bases for processing personal data, such as consent, contract performance, legal obligations, vital interests, public tasks, legitimate interests, or specific situations outlined in GDPR Article 6.
- Data Subject Rights: Respecting data subjects’ rights, including the right to access, rectify, erase, restrict processing, data portability, object to processing, and not be subject to automated decision-making.
- Data Processing Activities: Documenting data processing activities, purposes, categories of data subjects, data categories, recipients, data transfers, retention periods, security measures, and data protection impact assessments (DPIAs) as required by GDPR Articles 30-35.
- Privacy Notices: Providing clear, concise, transparent, and easily accessible privacy notices to data subjects, informing them about data processing activities, purposes, legal bases, data retention, rights, and contact information.
- Consent Management: Obtaining valid, informed, explicit, freely given, and revocable consent from data subjects for processing their personal data, especially for sensitive data categories or cross-border data transfers.
- Data Security Measures: Implementing technical and organizational measures to ensure data security, confidentiality, integrity, resilience, encryption, pseudonymization, access controls, incident response, data breach notification, and data protection by design and by default.
- Data Transfer Mechanisms: Ensuring lawful data transfers outside the EU/EEA by using appropriate safeguards, such as standard contractual clauses (SCCs), binding corporate rules (BCRs), adequacy decisions, data protection agreements, or approved certification mechanisms.
- Data Protection Officer (DPO): Appointing a Data Protection Officer (DPO) if required under GDPR Article 37, responsible for advising on data protection, monitoring compliance, cooperating with supervisory authorities, and serving as a point of contact for data subjects and regulators.
- GDPR Documentation: Maintaining documentation of GDPR compliance efforts, policies, procedures, records of processing activities, data protection impact assessments, data breach incidents, data subject requests, consent mechanisms, and third-party contracts.
Achieving GDPR compliance requires a holistic approach to data protection, privacy management, risk assessment, legal compliance, data governance, employee training, data subject rights management, and cooperation with data protection authorities.
GDPR Compliance
