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

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
Risk arising from suppliers, partners, service providers or other external parties that access, support or influence an organisation’s operations and data.
It reduces the likelihood or impact of unauthorised access, data loss and service disruption and provides evidence for assurance.
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.
No single control eliminates risk. Misconfiguration, compromised identities, weak recovery and changing threats require defence in depth and continuous review.
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.
AI Governance, Systems Architecture
NIST Cybersecurity Framework 2.0 — https://www.nist.gov/cyberframework; OWASP — https://owasp.org/
A security exploit targeting generative AI models by crafting deceptive inputs that bypass system guardrails.
A modern hybrid data platform uniting the flexible storage of data lakes with the transactional integrity of warehouses.
A preliminary model or interactive mock-up created to test user experience assumptions before committing development resources.
A standardized technical document outlining the performance benchmarks, limitations, and intended use cases of an AI model.
Software layers facilitating communication, data management, and messaging protocols between disparate enterprise applications.