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
Disaster Recovery
Simple Definition for Beginners:
Disaster recovery is a plan and set of procedures designed to restore and recover IT systems and data after a natural or human-made disaster.
Common Use Example:
A company’s disaster recovery plan includes regular backups of critical data and procedures for quickly restoring systems in case of a fire or server failure.
Technical Definition for Professionals:
Disaster recovery (DR) refers to the process and strategies for restoring IT infrastructure, systems, and data following a disruptive event such as a natural disaster, cyberattack, hardware failure, or human error.
The primary goal of disaster recovery is to minimize downtime, data loss, and business disruption by implementing measures to recover critical services and operations swiftly.
Key components and practices of disaster recovery include:
- Business Impact Analysis (BIA): Assessing the potential impact of disruptions on business operations, identifying critical systems and data, and prioritizing recovery objectives.
- Risk Assessment and Mitigation: Identifying and addressing potential risks and vulnerabilities that could lead to disasters or disruptions.
- Backup and Data Replication: Regularly backing up critical data and applications, including off-site or cloud-based backups, and replicating data to ensure redundancy and availability.
- Disaster Recovery Plan (DRP): Developing and documenting a comprehensive plan that outlines procedures, roles, responsibilities, and communication protocols for responding to disasters and restoring services.
- Testing and Validation: Conducting regular tests, drills, and simulations of the disaster recovery plan to validate its effectiveness, identify gaps, and train personnel.
- High Availability (HA) Solutions: Implementing technologies and architectures that provide continuous operation and automatic failover to redundant systems or data centers.
- Recovery Time Objective (RTO) and Recovery Point Objective (RPO): Defining the maximum acceptable downtime (RTO) and data loss (RPO) for each critical system or application.
- Incident Response and Communication: Establishing procedures for notifying stakeholders, coordinating response efforts, and communicating updates during a disaster or recovery process.
Effective disaster recovery planning and implementation are essential for ensuring business continuity, mitigating financial losses, protecting reputation, and complying with regulatory requirements.
Disaster Recovery
