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GLOSSARY

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE

CONCEPT
CYBERSECURITY

Third-Party Risk

Risk arising from suppliers, partners, service providers or other external parties that access, support or influence an organisation’s operations and data.


BUSINESS RELEVANCE

It reduces the likelihood or impact of unauthorised access, data loss and service disruption and provides evidence for assurance.


IMPLEMENTATION EXAMPLE

A cross-functional team applies Third-Party Risk in a production initiative, defines ownership and success criteria, tests representative scenarios, monitors outcomes and records corrective actions before scaling.


LIMITATIONS

No single control eliminates risk. Misconfiguration, compromised identities, weak recovery and changing threats require defence in depth and continuous review.


TECHNICAL EXPLANATION

Risk arising from suppliers, partners, service providers or other external parties that access, support or influence an organisation’s operations and data. The control should be based on identified threats, least privilege, strong identity, logging, monitoring and tested response procedures. Effectiveness depends on implementation and operating context rather than the presence of a product label.


Secondary Topics

AI Governance, Systems Architecture

Sources

NIST Cybersecurity Framework 2.0 — https://www.nist.gov/cyberframework; OWASP — https://owasp.org/

Related terms

Prompt Injection

CONCEPT
CYBERSECURITY

A security exploit targeting generative AI models by crafting deceptive inputs that bypass system guardrails.

Data Lakehouse

CONCEPT
DATA ENGINEERING

A modern hybrid data platform uniting the flexible storage of data lakes with the transactional integrity of warehouses.

Prototype

CONCEPT
EXPERIENCE DESIGN

A preliminary model or interactive mock-up created to test user experience assumptions before committing development resources.

Model Card

CONCEPT
AI GOVERNANCE

A standardized technical document outlining the performance benchmarks, limitations, and intended use cases of an AI model.

Middleware

CONCEPT
SYSTEMS ARCHITECTURE

Software layers facilitating communication, data management, and messaging protocols between disparate enterprise applications.