- Certification
- CTS-1
- Legal and financial risk
Legal and financial risk
Can you show the agent meets the law, and do you know what a failure would cost?
Key obligations include disclosure duties, records, risk classification, privacy, and fair treatment. Money is at stake when an agent commits the company to something it should not. This pillar produces the evidence a regulator, an auditor, or an insurer will ask for.
L1Transparency
People know they are interacting with the agent and understand its limits. The organization keeps records.
People know it is an AI
People who interact with the agent are told clearly, from the start, that they are dealing with an AI system. The agent never claims to be human.
- Why it matters
- Article 50 of the EU AI Act makes this an obligation, and customers who feel deceived do not return.
- How we verify it
- Caudals checks the disclosure in every channel in scope. It then asks the agent whether it is a person, directly and under pressure.
- Evidence we review
- Screenshots or recordings of the disclosure in each channel
- Results from questions about being human
- Applies to
- Every agent
- Verified by
- Testing. Reverified: every quarter.
- Maps to
- EU AI Act
Art. 50ISO/IEC 42001A.8NIST AI RMFMEASURE 2
Purpose and limits are stated
The organization publishes, where users can easily find it, what the agent is for, what it cannot do, and how to reach a person. Public claims about the agent match what the tests show.
- Why it matters
- An overstated claim turns an ordinary error into a misleading practice.
- How we verify it
- Caudals compares public descriptions and marketing claims against the certified scope and the test results.
- Evidence we review
- The published description, help page, or terms
- Marketing claims about the agent
- Internal instructions for its use
- Applies to
- Every agent
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 13 · Art. 50ISO/IEC 42001A.8NIST AI RMFMAP 1
Records are kept
Conversations, actions, and the versions of the model, prompt, and knowledge base that produced them are logged, protected, and retained for at least six months. Any answer can be reconstructed.
- Why it matters
- When a customer disputes what the agent said, the organization needs the record, not a guess.
- How we verify it
- Caudals selects conversations from its test run and asks the organization to retrieve them, along with the versions in force at the time.
- Evidence we review
- Log samples retrieved on request
- The retention policy
- Access controls on the logs
- Applies to
- Every agent
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 12 · Art. 26ISO/IEC 42001A.6NIST AI RMFMEASURE 2MITRE ATLASAML.M0024SOC 2CC7GDPRArt. 5SR 26-2§ VI
L2Governance and regulation
The organization knows which rules apply to the agent. It manages AI deliberately, not by accident.
Role and risk class are determined
The organization has documented its role under the EU AI Act as provider, deployer or both. It records whether the use is prohibited, high-risk or subject to transparency duties, and which other laws apply where the agent operates.
- Why it matters
- Obligations and deadlines depend on this classification. Many organizations have never written it down.
- How we verify it
- Caudals reviews the classification and its reasoning, checking that it matches the agent tested. Caudals does not decide the classification, and this review is not legal advice.
- Evidence we review
- The classification memo
- The register of applicable regulation
- A legal review, where one exists
- Applies to
- Every agent
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 5 · Art. 6 · Art. 25ISO/IEC 42001Cl. 4 · Cl. 6NIST AI RMFGOVERN 1 · MAP 1 · MAP 2SR 26-2§ VI
AI is governed
The organization has an AI policy approved by management, along with defined roles. It gives the people who build, operate and supervise the agent the training they need.
- Why it matters
- Controls last only when someone is responsible for them and knows why they exist.
- How we verify it
- Caudals reviews the policy, the roles and the training records. A current ISO/IEC 42001 certificate that covers the agent is accepted as evidence.
- Evidence we review
- The AI policy
- Roles and responsibilities
- Training records
- An ISO/IEC 42001 certificate, if the organization holds one
- Applies to
- Every agent
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 4 · Art. 17ISO/IEC 42001Cl. 4–10 · A.2 · A.3 · A.4NIST AI RMFGOVERN 1 · GOVERN 2 · GOVERN 4SOC 2CC1 · CC2SR 26-2§ VI
Risks and impacts are assessed
The organization has assessed the agent's risks and its impact on affected people, and keeps that assessment current. It carries out any formal assessments required by law, such as a data protection impact assessment.
- Why it matters
- An assessment written before launch and never opened again describes a different agent.
- How we verify it
- Caudals reviews the assessments and their dates. It checks whether the risks found during testing appear in them.
- Evidence we review
- The risk assessment
- The data protection or fundamental rights impact assessment, where required
- Review dates
- Applies to
- Every agent
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 9 · Art. 27ISO/IEC 42001Cl. 6 · A.5NIST AI RMFMAP 5 · MANAGE 1SOC 2CC3GDPRArt. 35
L3Rights and fair treatment
Personal data is used lawfully. Decisions about people require a human, and people are treated alike.
Personal data is handled lawfully
The agent's use of personal data has a legal basis, is explained in the privacy notice, and is limited to its stated purpose. Data processing agreements cover every supplier that handles it.
- Why it matters
- GDPR fines reach 4% of worldwide turnover. Agents process personal data in ways older privacy notices do not describe.
- How we verify it
- Caudals compares the record of processing, the privacy notice and data processing agreements with what the agent actually does during testing.
- Evidence we review
- The record of processing for the agent
- The privacy notice
- Data processing agreements
- Retention and deletion settings
- Applies to
- Agents that handle personal data
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 10ISO/IEC 42001A.7NIST AI RMFMEASURE 2SOC 2P1–P8GDPRArt. 5 · Art. 6 · Art. 25 · Art. 28
Decisions about people need human review
The agent does not make decisions with legal or similarly significant effects on a person on its own. A qualified person reviews them, and the individual is told how to contest the outcome.
- Why it matters
- The GDPR gives people the right not to be subject to decisions of this kind made solely by automated means.
- How we verify it
- Caudals runs scenarios that push the agent to decide, such as denying a claim or refusing a service, and verifies the human review step.
- Evidence we review
- The inventory of decisions the agent touches
- The human review procedure and its records
- Results for the decision scenarios
- Applies to
- Agents that affect decisions about people
- Verified by
- Testing and evidence review. Reverified: every quarter.
- Maps to
- EU AI Act
Art. 14 · Art. 26NIST AI RMFMAP 3 · MANAGE 2GDPRArt. 22
People are treated alike
The agent's answers, offers and decisions do not differ without justification because of a person's sex, age, origin, disability or another protected characteristic.
- Why it matters
- Discrimination by an agent is still discrimination, and it scales.
- How we verify it
- Caudals runs paired tests. It sends the same request with only a protected characteristic changed, comparing substance, tone and outcome.
- Evidence we review
- Paired test results
- The organization's own bias testing, if available
- Applies to
- Agents that affect decisions about people
- Verified by
- Testing. Reverified: every quarter.
- Maps to
- EU AI Act
Art. 10 · Art. 15ISO/IEC 42001A.5 · A.7NIST AI RMFMEASURE 2GDPRArt. 5
L4Financial exposure
The agent cannot commit money without limits. The cost of failure has been priced and allocated.
Money and commitments have limits
The agent cannot commit the organization beyond set limits. Prices, discounts, refunds, compensation and contract terms come from authorized sources. Amounts above a threshold need human approval, and transactions are reconciled.
- Why it matters
- Courts have held companies to what their agents promised.
- How we verify it
- Caudals negotiates with the agent, pressures it, and tries to trick it into offering unauthorized prices, refunds or terms, or moving money beyond its limits.
- Evidence we review
- Authority limits and thresholds
- The approval flow
- Reconciliation records
- Results for the commitment scenarios
- Applies to
- Agents that quote prices or move money
- Verified by
- Testing. Reverified: every quarter.
- Maps to
- EU AI Act
Art. 14OWASP Top 10 for LLM applicationsLLM06:2025OWASP Top 10 for agentic applicationsASI02 · ASI09MITRE ATLASAML.M0029SOC 2PI1 · CC5
Exposure is quantified and allocated
The organization has estimated what the agent's plausible failures would cost in compensation, fines, remediation and lost revenue. It has allocated each cost through contracts with suppliers and customers, and through insurance.
- Why it matters
- A risk nobody has priced is a risk nobody has decided to accept.
- How we verify it
- Caudals compares the exposure estimate against the failures found in testing, and reviews liability, indemnity and insurance terms. The certification report supplies the failure rates and severities the estimate needs.
- Evidence we review
- The exposure estimate and its assumptions
- Liability clauses in supplier and customer contracts
- Insurance wording that covers or excludes AI
- Applies to
- Every agent
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 99ISO/IEC 42001Cl. 6 · A.10NIST AI RMFMAP 5 · MANAGE 1SOC 2CC9GDPRArt. 82 · Art. 83SR 26-2§ III
Regulated firms meet their sector's rules
A financial institution, or a supplier to one, includes the agent in its model inventory and independently validates it before use. It monitors the agent and meets the incident reporting and third-party duties of its sector.
- Why it matters
- Supervisors expect the same discipline for AI as for any model that drives decisions or money.
- How we verify it
- Caudals reviews the evidence against the firm's model risk framework. SR 26-2 leaves generative and agentic AI outside its scope, so CTS-1 applies its principles by analogy: inventory, validation, monitoring and third-party management. DORA applies to financial entities in the EU.
- Evidence we review
- The model inventory entry
- The independent validation report
- Monitoring reports
- The incident reporting procedure
- The third-party register
- Applies to
- Financial institutions and their suppliers
- Verified by
- Evidence review. Reverified: every year.
- Maps to
- EU AI Act
Art. 26 · Art. 73GDPRArt. 33SR 26-2§ IV · § V · § VI · § VIIDORAICT-related incident management · ICT third-party risk