Built for companies that can’t afford risk.
Replicant’s platform is built from the ground up to protect every layer of the AI lifecycle, ensuring full transparency, compliance, and trust. From infrastructure to model behavior, every control is built in - not bolted on.
Data confidentiality & model governance
Replicant includes native protections that help enterprises meet data residency, privacy, and compliance obligations—without needing external tools.
- Automatic redaction of PII, payment data, and regulated content across transcripts, logs, and QA analytics.
- Granular RBAC with full audit trails for complete access transparency.
- LLM governance: Customer data is never used to train public models, and access is secured through API contracts that prohibit retention or reuse.
Industry-leading frameworks like the OWASP Top 10 are embedded into every stage of our development lifecycle.
Safe use of Generative AI
Replicant enforces comprehensive controls to support enterprise deployment of LLMs for mission-critical applications.
- Exhaustive testing for prompt injection, jailbreaks, hallucinations, and adversarial misuse.
- Guaranteed brand-safe outputs, enabled through prompt engineering, rigorous prompt testing, and model alignment guardrails.
- Pre-approved AI responses in high-risk workflows to avoid hallucinations.
- Audit visibility into all conversational behavior—what the AI said, why, and what triggered it.
Our enterprise-grade platform adheres to the NIST Cybersecurity Framework (CSF) and the NIST AI Risk Management Framework (AI RMF).
GDPR compliance
Replicant’s platform is fully aligned with the requirements of the General Data Protection Regulation (GDPR), supporting global customer service operations.
- Automated redaction of personal data.
- Personally Identifiable Information (PII), payment information, and other sensitive customer inputs are automatically redacted from AI interactions, call transcripts, analytics logs, and QA workflows.
- Access controls with full audit trails: Every interaction with customer data is logged and traceable, ensuring accountability and enabling rapid response to Data Subject Access Requests (DSARs).
- Data residency and sovereignty protections: Replicant supports secure API-based transfers that maintain data residency boundaries and comply with cross-border requirements under GDPR and similar frameworks.
- Privacy by design architecture: Replicant’s platform is engineered with GDPR’s “privacy by design and by default” principles, including encrypted storage and transport (AES-256 and TLS 1.2+), strict retention controls, and opt-out support where applicable.
Infrastructure-level security
Replicant’s platform is hosted on Google Cloud Platform (GCP) and is built with an enterprise-grade security architecture.
- SOC 2 Type 2, PCI DSS, HIPAA certifications - independently validated.
- TLS 1.2+ and AES-256 encryption for all data in transit and at rest.
- Intrusion Detection & Prevention Systems (IDPS) and continuous threat monitoring.
- Role-Based Access Control (RBAC) with Multi-Factor Authentication (MFA) built in.
Replicant: The enterprise standard for secure and safe conversational AI
Alternatives
| Features | Alternatives | Replicant |
|---|---|---|
| End-to-end encryption | Partial or layered | Built-in |
| Native redaction | Often missing or manual | Default for all data types |
| RBAC & MFA | Basic or coarse | Granular, enforced |
| Multi-vendor failover | Rarely implemented end-to-end | Across telephony, TTS, LLM |
| LLM safety | Shared models, unclear controls | No public training, audit visibility |
| Compliance | Partial or informal | SOC 2, HIPAA, PCI DSS, GDPR |
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