What regulations are Sei's AI agents trained on?

Our agents are trained on FDCPA, TCPA, TILA, UDAAP, RESPA, Fair Housing Act, and HMDA. For document intelligence, we support Fannie Mae, Freddie Mac, and HUD guidelines, plus your internal policies and lender overlays.

How securely is borrower data handled?

We deploy within private VPCs with sandboxed environments per customer. We are PCI DSS L1 and SOC2 Type II certified with regular penetration testing. We never train on your data.

How is Sei different from other Voice AI platforms?

Sei is purpose-built for regulated finance. Every interaction is audited against regulations and your rulebooks with strict guardrails to prevent leakage of sensitive borrower information.

Does Sei integrate with my LOS and contact center?

Yes. We integrate with ICE, Genesys, RingCentral, Salesforce, and other loan management systems, CRMs, and CCaaS platforms with custom integration support during onboarding.

How long does it take to deploy?

Most customers are live within weeks, not months. We handle onboarding, policy ingestion, and integration setup with a dedicated account manager.

Can Sei incorporate my company's SOPs and guidelines?

Sei is built for customisation. Bring your own policies, servicing guidelines, and SOPs. Our agents adapt to your specific workflows and compliance requirements.

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Tag: cybersecurity

2 articlestagged “cybersecurity”

All AI agents (36)compliance (19)voice AI (19)mortgage (17)comparisons (13)underwriting (12)mortgage servicing (6)voice ai (6)automation (6)servicing (5)collections (5)income calculation (5)document intelligence (5)financial services (5)Regulation X (4)lending (4)regulated finance (4)Regulation Z (3)CFPB (3)RESPA (3)FinCEN (3)fair lending (3)FDCPA (3)quality control (3)ECOA (3)banking (3)ROI (3)QA (3)UDAAP (2)consumer protection (2)BSA/AML (2)HMDA (2)ADMT (2)call monitoring (2)debt collection (2)cybersecurity (2)identity verification (2)Regulation B (2)banking AI (2)Regulation E (2)insurance (2)follow-ups (2)customer experience (2)regulation (2)AI (2)Regulation CC (1)funds availability (1)deposit servicing (1)check holds (1)LO Compensation (1)Reg Z 1026.36 (1)vendor management (1)HELOC (1)consumer lending (1)KYC (1)EDD (1)commercial banking (1)notice of error (1)request for information (1)elder financial exploitation (1)Senior Safe Act (1)Adult Protective Services (1)Corporate Transparency Act (1)BOI reporting (1)CDD Rule (1)escrow analysis (1)Ability to Repay (1)Qualified Mortgage (1)RESPA Section 8 (1)mortgage referrals (1)kickback (1)MSA (1)Regulation C (1)LAR (1)SAFE Act (1)NMLS (1)MLO licensing (1)Regulation G (1)GLBA (1)Safeguards Rule (1)FTC 314 (1)Interagency Guidelines (1)AI vendors (1)UCC Article 4A (1)wire fraud (1)commercially reasonable (1)Regulation J (1)California CCPA (1)CPPA (1)automated decisionmaking (1)contact center (1)mortgage origination (1)lead conversion (1)lead qualification (1)Regulation F (1)7-in-7 rule (1)incident notification (1)36-hour rule (1)bank service provider (1)non-qm (1)pre-underwriting (1)Colorado SB 26-189 (1)automated decision-making (1)state AI law (1)force-placed insurance (1)voice cloning (1)deepfake (1)caller authentication (1)NIST 800-63 (1)point of sale (1)ocr (1)CFPB 1071 (1)small business lending (1)OFAC (1)sanctions (1)beneficial ownership (1)SCRA (1)servicemembers (1)DOJ enforcement (1)prompt injection (1)AI security (1)red team (1)OWASP (1)TRID (1)TILA-RESPA (1)Loan Estimate (1)Closing Disclosure (1)chatbots (1)open banking (1)CFPB 1033 (1)personal financial data rights (1)data security (1)error resolution (1)EFTA (1)disputes (1)NYDFS (1)Part 500 (1)AI governance (1)third-party risk (1)FCRA (1)furnisher accuracy (1)Regulation V (1)credit reporting (1)TCPA (1)consent management (1)one-to-one consent (1)BSA (1)AML (1)SAR (1)transaction monitoring (1)disparate impact (1)loss mitigation (1)third-party risk management (1)TPRM (1)FFIEC (1)AI vendor management (1)vendor due diligence (1)adverse action (1)AI credit decisions (1)model risk management (1)SR 11-7 (1)NIST AI RMF (1)governance (1)credit unions (1)NCUA (1)hallucinations (1)grounding (1)retrieval (1)guardrails (1)build vs buy (1)AI strategy (1)vendor selection (1)total cost of ownership (1)claims processing (1)handoffs (1)AI assistant (1)finance-grade (1)deployment (1)IVR (1)cost analysis (1)metrics (1)best practices (1)implementation (1)call center (1)claims (1)voice biometrics (1)security (1)monitoring (1)playbook (1)conversational AI (1)pricing (1)complaints (1)fintech (1)scale (1)

Compliance

The Interagency 36-Hour Computer-Security Incident Notification Rule Applied to Bank AI Systems

The OCC's Part 53, the FDIC's Part 304 Subpart C, and the Federal Reserve's Part 225 Subpart N gave banks a 36-hour clock on notification incidents. The architecture we run so an AI agent failure, a model-vendor outage, or a prompt-injection-driven exfiltration is detected, classified, and reported inside the window.

Jun 12, 202612 min read

Compliance

NYDFS Part 500 and the AI Cybersecurity Letter: What New York-Regulated Institutions Have to Build

New York's Part 500 is fully phased in and its October 2024 AI guidance tells covered entities how to apply it to AI risk. The controls that matter for an AI agent: phishing-resistant authentication, privileged access on the model store, AI vendor diligence, and data minimization.

May 24, 20266 min read

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Embed Sei AI in your workflows

Tell us about your operations. We'll show you how Sei handles borrower calls, processes loan documents, and monitors compliance for mortgage lenders and banks.

Deploy in weeks, not months
Trained on FDCPA, TCPA, TILA, UDAAP, and RESPA
SOC 2 Type II and PCI DSS L1 certified
Integrates with your LOS, CRM, and telephony

👉Our AI agents platform is now PCI DSS L1 certified!

Tag: cybersecurity

The Interagency 36-Hour Computer-Security Incident Notification Rule Applied to Bank AI Systems

NYDFS Part 500 and the AI Cybersecurity Letter: What New York-Regulated Institutions Have to Build

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