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
Tokenization
Simple Definition for Beginners:
Tokenization is a process of substituting sensitive data with non-sensitive tokens to protect it from unauthorized access.
Common Use Example:
When making a payment online, your credit card number is tokenized, replacing it with a unique token that can be used for transactions without revealing the actual card details.
Technical Definition for Professionals:
Tokenization is a security technique that replaces sensitive data, such as credit card numbers or personal identifiers, with non-sensitive tokens. Key aspects of tokenization include:
- Data Substitution: Replacing sensitive data elements with unique tokens that have no intrinsic value.
- Token Mapping: Maintaining a mapping table that links tokens to their original data for reversibility.
- Data Security: Protecting sensitive data at rest and in transit by using tokens that are meaningless outside the system.
- Token Format: Tokens can be numeric or alphanumeric, generated using encryption or randomization techniques.
- Compliance: Tokenization is often used to comply with data protection regulations like PCI DSS for payment data security.