Indemnity
A contractual obligation by one party (the indemnitor) to compensate the other party (the indemnitee) for specified losses, costs, or liabilities that the indemnitee incurs. In the EU AI Act vendor context, indemnities typically cover: regulatory penalties attributable to vendor-side non-compliance, and third-party claims attributable to the vendor's component. An indemnity between private parties does not change who the regulator pursues but creates a financial recovery path between the contracting parties.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A contractual obligation by one party (the indemnitor) to compensate the other party (the indemnitee) for specified losses, costs, or liabilities that the indemnitee incurs. In the EU AI Act vendor context, indemnities typically cover: regulatory penalties attributable to vendor-side non-compliance, and third-party claims attributable to the vendor's component. An indemnity between private parties does not change who the regulator pursues but creates a financial recovery path between the contracting parties.
A contractual promise by the vendor to cover specified losses (for example legal or regulatory harm caused by their system). Its value depends on what the vendor's own insurance actually covers, which for AI products is an increasingly narrow question. (see Topic 8.3)
A contractual promise by one party to cover another party's losses if a specified claim arises. AI-vendor IP indemnities promise to defend customers against certain third-party copyright claims, subject to carve-outs.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The vendor interrogation: questions that expose what the sales deck hides · Shipping AI and Surviving the Incident, Certified AI Governance Professional (CAIGP)
- Who owns the output: IP, training-data provenance, and the liability chain when AI work goes wrong · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- Contractual Risk Allocation with AI Vendors · Regulatory Interplay and Liability, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Indemnity starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Tiers vendors by use and impact, requests evidence instead of promises, tests in the customer's context, and plans monitoring and exit.
2 lessons on this page teach it as a primary outcome.
Turns controls into enforceable obligations: data use, change notice, audit rights, incident duties, subcontractors, IP, exit and deletion.
One lesson on this page teach it as a primary outcome.
Traces where data came from, what transformed it, who owns each hop and where it flows downstream, so a number can be defended.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Third-Party AI Risk Analystneeds it at depth
- AI Vendor Risk Managerneeds it at depth
- Third-Party Cyber Risk Managerneeds it at depth
- Chief Information Officer, technology leadership editionneeds it at depth
- Privacy Analystneeds working knowledge
- Chief Audit Executive, AI audit editionneeds working knowledge
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: NIST AI RMF GOVERN 6 and MANAGE 3; ISO/IEC 42001 Annex A supplier controls; GDPR Article 28; EU AI Act value-chain obligations.
One interview question about it
A business unit wants to buy an AI tool next week. What do you ask the vendor, what evidence do you require, and what would make you say no?
Asked of candidates for ai vendor due diligence and third-party risk. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Privacy and data protection carries it as a claim to back up: Processor and vendor review is routine privacy work.
- Cybersecurity and IT carries it as a claim to back up: Supplier security assessment is routine.
- Nonprofit program and grants oversight carries it as a claim to back up: Reviewing grant and vendor agreements for data terms is vendor review.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.