Glossary / Technology Leadership
Technology Leadership
CTO and CISO terminology: architecture, AI, security, and digital transformation.
A
Architecture Debt
Technical debt at the system design level—structural decisions in the architecture that were expedient at one stage but now constrain scalability, reliability, maintainability, or security.
API
Application Programming Interface—a defined contract specifying how software components communicate, enabling systems to exchange data and capabilities without exposing internal implementation details.
Artificial Intelligence & Machine Learning
AI systems that enable computers to perform tasks requiring human-like cognition—pattern recognition, language understanding, prediction, and decision-making—through machine learning from data rather than explicit programming.
C
Cloud-Native
An approach to building applications designed to exploit the scale, elasticity, and services available in cloud computing environments—using containers, microservices, dynamic orchestration, and continuous delivery.
CI/CD
Continuous Integration and Continuous Delivery—automated pipelines that merge, test, and deploy code changes frequently, enabling rapid, reliable software delivery with minimal manual intervention.
CISO
Chief Information Security Officer—the executive responsible for establishing and maintaining the enterprise vision, strategy, and program to ensure information assets and technologies are adequately protected.
D
DevOps
A cultural and technical movement that integrates software development and IT operations to shorten development cycles, increase deployment frequency, and deliver higher software quality through automation and collaboration.
DORA Metrics
Four key software delivery performance metrics developed by the DevOps Research and Assessment program: Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate.
Data Governance
The framework of policies, processes, roles, and standards that defines how data is managed across an organization—ensuring data quality, security, compliance, and accessibility for business decision-making.
Data Catalog
A metadata management tool that creates an inventory of all data assets across an organization—defining what data exists, where it lives, what it means, who owns it, and how it can be accessed.
Data Lake vs. Data Warehouse
Two data storage paradigms: a data lake stores raw data in its original format at low cost for flexible future analysis, while a data warehouse stores structured, pre-processed data optimized for SQL-based analytical queries.
Digital Transformation
The strategic integration of digital technology into all areas of a business—fundamentally changing how it operates and delivers value to customers, requiring cultural and organizational change alongside technology investment.
I
Infrastructure as Code
The practice of managing and provisioning computing infrastructure through machine-readable configuration files rather than manual processes, enabling version control, automation, and repeatable environment creation.
ISO 27001
The international standard for Information Security Management Systems—providing a systematic framework for managing sensitive information through risk assessment, controls implementation, and continuous improvement.
M
Microservices
An architectural style that structures an application as a collection of small, independently deployable services—each running in its own process and communicating over well-defined APIs.
Monolithic Architecture
A software architecture pattern where all application components—user interface, business logic, and data access—are deployed as a single, unified unit.
MSSP
Managed Security Service Provider—a third-party organization that provides outsourced monitoring and management of security systems and functions, typically including 24/7 security operations center capabilities.
MLOps
Machine Learning Operations—the discipline of deploying, monitoring, and managing machine learning models in production, applying DevOps principles to the unique challenges of ML system lifecycle management.
P
Penetration Testing
A simulated cyberattack conducted by authorized security professionals to identify vulnerabilities in systems, applications, and infrastructure before malicious actors exploit them.
Product Backlog
An ordered list of all features, bug fixes, technical improvements, and other work items for a product, maintained by the Product Owner and used to guide development team priorities.
Platform Engineering
The discipline of building and operating internal developer platforms that provide self-service infrastructure, tooling, and capabilities to product engineering teams—enabling developer autonomy without creating individual team infrastructure burden.
R
Refactoring
The process of restructuring existing code without changing its external behavior—improving code quality, maintainability, and extensibility to reduce technical debt and support future development.
REST vs. GraphQL
Two dominant web API paradigms: REST uses predefined endpoints for specific resources, while GraphQL uses a single endpoint with a flexible query language allowing clients to request exactly the data they need.
S
SOC 2
Service Organization Control 2—an auditing standard developed by the AICPA evaluating a service organization's controls over security, availability, processing integrity, confidentiality, and privacy.
SRE
Site Reliability Engineering—a discipline that applies software engineering practices to operations problems, managing production systems through code, automation, and data-driven reliability targets.
SLO, SLA, and SLI
Three interconnected reliability concepts: SLIs are metrics measuring system behavior, SLOs are internal reliability targets, and SLAs are external contractual commitments with consequences for failure.
Sprint
A fixed time-box in Scrum methodology—typically 1-4 weeks—during which a cross-functional team commits to delivering a defined set of work items toward a sprint goal.
Scrum vs. Kanban
Two widely used agile development frameworks: Scrum uses fixed-length sprints with defined ceremonies and roles, while Kanban uses continuous flow with visualized workflow stages and work-in-progress limits.
SaaS
Software as a Service—a cloud-based software delivery model where applications are hosted by the vendor and accessed via the internet on a subscription basis, eliminating on-premise installation and infrastructure management.
T
Technical Debt
The accumulated cost of shortcuts, deferred refactoring, and design compromises in a codebase—representing future work required to improve the system to the standard it would have met had it been built correctly initially.
Threat Modeling
A structured process for identifying potential threats, attack vectors, and vulnerabilities in a system design—enabling security controls to be built in during design rather than bolted on after deployment.
Technical Due Diligence
The systematic assessment of a technology company's software architecture, code quality, technical debt, security posture, and development practices conducted during M&A or investment transactions.
Technology Roadmap
A strategic plan that aligns technology investments, product development initiatives, and infrastructure improvements with business objectives over a defined time horizon.
V
Vulnerability Assessment
A systematic evaluation of security weaknesses in systems, applications, and infrastructure—identifying and prioritizing vulnerabilities to guide remediation efforts.
Vendor Lock-In
The degree to which a customer becomes dependent on a specific vendor's products or services, making switching to an alternative prohibitively expensive due to technical, contractual, or operational constraints.
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