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 (This is for Information only)
- 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
- Definition of Protocol Analysis | OrangeMantra
- 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
- Forensic Analysis
- 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
- Insider Threat Detection
- 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
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
Log Management
Simple Definition for Beginners:
Log management is the process of collecting, storing, analyzing, and managing logs or records generated by computer systems, networks, applications, and devices to track activities, troubleshoot issues, and ensure security.
Common Use Example:
An IT team uses log management tools to centralize logs from servers, routers, and applications, allowing them to identify performance issues, detect security incidents, and comply with audit requirements.
Technical Definition for Professionals:
Log management involves the systematic collection, storage, retention, analysis, and reporting of log data generated across IT infrastructure components. Key aspects of log management include:
- Log Collection:
o Gather logs from servers, applications, databases, network devices, security appliances, and endpoints using agents, collectors, or log aggregation platforms.
o Centralize logs into a unified repository or log management system for easy access, searchability, and correlation.
- Log Storage and Retention:
o Store logs securely in a structured format, such as text files, databases, or cloud storage, with appropriate encryption and access controls.
o Define retention policies based on regulatory requirements, operational needs, and security considerations to retain logs for auditing, troubleshooting, and historical analysis.
- Log Analysis and Monitoring:
o Use log analysis tools, SIEM (Security Information and Event Management) systems, or log parsing scripts to parse, normalize, and analyze log entries for patterns, anomalies, and security events.
o Monitor logs in real time for indicators of compromise (IoCs), security incidents, performance bottlenecks, system errors, and unauthorized access attempts.
- Alerting and Notification:
o Configure alert rules and thresholds based on log analysis results to trigger notifications, alerts, or automated response actions for critical events or abnormal behavior.
o Integrate log management with incident response workflows, ticketing systems, and communication channels for timely incident detection and resolution.
- Log Retrospective Analysis:
o Conduct retrospective log analysis and forensics investigations to reconstruct events, identify root causes, and analyze the impact of incidents or breaches.
o Use log data for compliance reporting, audit trails, forensic evidence, and performance optimization insights.
Log management plays a crucial role in IT operations, cybersecurity, compliance, and incident response by providing visibility into system activities, detecting security threats, and supporting proactive monitoring and analysis.
Log Management