CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) vs Veeam PrivacyOps AI agents (Consent Agent, DSR and Assessment agents)
CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) (Thomson Reuters) and Veeam PrivacyOps AI agents (Consent Agent, DSR and Assessment agents) (Veeam Software (Securiti AI, a Veeam company)) are both listed in the Risk category of Agent Index. They share no framework tags in our dataset. Only CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) is tagged for TX-RAMP.
| Field | ||
|---|---|---|
| Vendor | Thomson Reuters | Veeam Software (Securiti AI, a Veeam company) |
| HQ | Canada · North America | United States · North America |
| Primary category | Risk | Risk |
| Also listed in | Risk, Compliance | Risk, Compliance |
| Summary | Agentic investigation tool built on Thomson Reuters CLEAR public-records data. From a plain-language question it plans and runs searches across CLEAR data and the open web, resolves conflicting records and returns concise cited findings with a record of the searches it ran, for AML, fraud, program-integrity and law-enforcement investigators. | Privacy-operations agents on Veeam's DataAI Command Platform: a generally available Consent Agent that builds, tests, monitors and auto-remediates consent across sites and downstream systems, plus announced DSR intake-form and assessment-autofill agents. |
| Framework tags (Agent Index) | TX-RAMP | — |
| Frameworks (vendor-claimed) | FedRAMP (In Process) | GDPR, CCPA/CPRA, EU AI Act |
| Capabilities / tasks | case investigation, aml, fraud detection, government compliance | consent, dsr automation, privacy management, risk assessment, remediation |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://legal.thomsonreuters.com/en/products/clear-investigate | https://www.veeam.com/company/press-release/veeam-advances-operational-privacy-and-ai-governance-for-the-agentic-era-on-the-dataai-command-platform.html |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://legal.thomsonreuters.com/en/products/clear-investigate | https://www.veeam.com/company/press-release/veeam-advances-operational-privacy-and-ai-governance-for-the-agentic-era-on-the-dataai-command-platform.html |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) or Veeam PrivacyOps AI agents (Consent Agent, DSR and Assessment agents). Open a pair page or the use-case table — this is not a ranking.
- AiPrise AI agents (AML Agent, Website Agent and Document Agent) — KYC/KYB and compliance platform whose AI agents review AML screening hits (sanctions, PEP, adverse media) and recommend a decision under the customer's AML policy, check business websites for legitimacy and risk with ongoing monitoring, and review documents, with an analyst confirming the outcome. · AiPrise AI agents (AML Agent, Website Agent and Document Agent) pair comparison
- CleverChain AI agents (VERA autonomous due diligence and LUMA screening) — KYB, KYC, AML and third-party due-diligence platform where the VERA agent runs end-to-end investigations (ownership chain, business activity, sanctions and adverse media) into a cited, policy-mapped report, and LUMA handles AML screening and ongoing monitoring, with analysts approving high-risk decisions. · CleverChain AI agents (VERA autonomous due diligence and LUMA screening) pair comparison
- Data Adhikaar DPDPA agents (ten-agent compliance fabric) — India DPDP Act compliance platform run by ten scoped agents for data discovery and RoPA, consent, data principal rights requests, breach response, DPIAs, regulatory intelligence, policy drafting, processor risk and audit evidence, with human approval gates for Board notifications, policy publication and severity downgrades. · Data Adhikaar DPDPA agents (ten-agent compliance fabric) pair comparison
- Genpact Transaction Monitoring Analyst (Banking Analyst Suite) — Generally available agentic AML module for banks: a central orchestrator coordinates specialised agents that gather data, analyse transactions and customer behaviour, review prior alerts and deliver a decision-ready Level 1 alert recommendation with documented rationale, with analysts making every final decision. · Genpact Transaction Monitoring Analyst (Banking Analyst Suite) pair comparison
- Oscilar Agent Hub (AML, sanctions, fraud and onboarding agents) — Risk-decisioning platform with 30+ orchestrated agents on a shared risk memory, including AML L1 review, sanctions screening dispositions, adverse media, EDD dossier, SAR narrative, fraud L1 review, fraud-network and KYB review agents, where every recommendation is confirmed by a human analyst. · Oscilar Agent Hub (AML, sanctions, fraud and onboarding agents) pair comparison
- VAAS AI risk agents (KYC/KYB, AML and onboarding risk decisions) — Brazilian risk and compliance decisioning platform whose AI agents read the full KYC/KYB dossier, compare it with current regulation, flag risks such as adverse-media homonyms, and suggest a justified decision with a confidence level for the analyst to validate, with continuous re-analysis when a monitored person or company changes. · VAAS AI risk agents (KYC/KYB, AML and onboarding risk decisions) pair comparison
- Vulcan Justinian (AI agent for government legal, regulatory and permitting work; VulcanGov) — AI agent for US government knowledge workers, grounded in a large corpus of federal and state statutes, regulations, court cases and fiscal data. It runs 50-state research in parallel with citations, monitors legal changes, reviews permit applications against the code, drafts memos and comment responses, and builds internal tools inside the agency boundary.
Use-case comparisons
- AML and transaction-monitoring AI agents — 32 listings (Anti-money-laundering, transaction monitoring and financial-crime investigation)
- Privacy operations AI agents — 11 listings (Privacy programme operations, DSRs, consent, data discovery and privacy assessments)
- US public-sector and FedRAMP AI agents — 24 listings (US government, FedRAMP and public-sector compliance or security operations)
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