Codegres.org VS Tangerin AI

Tangerin AI's answer:

Tangerin AI resolves every signal against a proprietary catalog of more than 6,000 AI tools recording data risk, processing country, retention policy and whether the vendor trains on customer data. Most governance tools ask you to declare which AI systems you use; Tangerin AI detects the ones nobody declared — Shadow AI — and turns each into auditable evidence. It is also built for Brazilian regulation first: LGPD and ANPD Resolution 19/2024 alongside ISO 42001 and the EU AI Act, cross-walked so one piece of evidence satisfies equivalent controls across frameworks.

Tangerin AI's answer:

Three reasons. Coverage of Brazilian and Latin American regulation that global vendors treat as an afterthought: LGPD, BACEN 4.893, SUSEP 638 and ANS RN 452 come pre-configured, not as custom work. Detection instead of self-declaration: an endpoint agent or agentless log ingestion finds unapproved AI use, so the inventory reflects reality rather than a questionnaire. And published pricing in a category where almost every vendor hides it — plans start at R$ 497/month with a 14-day free trial, and setup takes about 15 minutes.

Tangerin AI's answer:

IT leaders, CISOs, DPOs, compliance and risk teams, and executives at Brazilian and Latin American companies — typically organizations from 25 to 2,000 workstations whose employees already use AI tools, and which cannot yet answer which ones, at what risk, or with what evidence for an auditor. Regulated sectors are the sharpest fit: financial services, insurance, health plans, and any company transferring personal data abroad under ANPD standard contractual clauses.

Tangerin AI's answer:

Next.js and TypeScript on the web, PostgreSQL as the data layer, lightweight native agents for Windows, macOS and Linux, and agentless ingestion from existing NGFW, SSE and SIEM systems. The catalog of more than 6,000 classified AI tools is proprietary and maintained in-house.

Tangerin AI's answer:

Tangerin AI was built by specialists in cybersecurity, IT and project delivery with more than 20 years serving mid-sized and large companies across Brazil and Latin America — and who are heavy AI users themselves. We watched adoption move far faster than control: employees pasting company data into LLMs that train on what they receive, with no policy, no inventory and no evidence to show for it. The exposure was widespread and the market answering it was thin. So we brought our own body of knowledge into a product and built technology of our own for it, designed for companies of every size, focused on the Brazilian market first and the global market next.