WalledAI is a sovereign AI governance infrastructure that sits between your employees, agents, and any LLM (GPT-4, Claude, Gemini, Llama, Mistral, Copilot). It masks sensitive data before it reaches the model, blocks prompt injections, validates outputs against ground truth, and logs every interaction for audit - with sub-30ms latency.
Both. WalledAI provides runtime guardrails (Redact, Protect, Correct) and the governance layer around them: data classification, role-based access control, policy enforcement, audit trails, and compliance reporting. It is purpose-built for enterprises that need lifecycle oversight, not just inline filtering.
Models need the shape of your question to answer well, not your raw customer data. WalledAI masks PII and proprietary content before the prompt leaves your boundary, then restores the real values in the response - so employees get full AI productivity with zero data exposure.
Yes. Every prompt, response, masking action, policy decision, and user identity is captured in an immutable, queryable audit log. The Governance Dashboard generates audit-ready evidence packages, board-level reports, and regulator-facing exports on demand. Logs can be streamed to your SIEM (Splunk, Sentinel, Elastic) or kept fully on-premise.
For every AI interaction WalledAI records: timestamp, user, role, department, model used, original prompt class, masked entities and types, policy version applied, validation outcome, output disposition, and any human override. This gives auditors a complete chain of custody from input to output.
Yes. The Governance Dashboard produces pre-built evidence packages mapped to MAS TRM, EU AI Act, PDPA, HIPAA, SOC 2, and FCA. Reports include policy inventories, control coverage, incident timelines, and exportable logs that examiners can review directly.
WalledAI covers the runtime layer of the AI lifecycle - data ingress, prompt governance, output validation, incident detection, and post-hoc audit. It integrates with model risk management, MLOps, and GRC tools so risk assessments, model registries, and policy approvals stay in your existing systems while WalledAI enforces them at runtime.
WalledAI maps directly to the EU AI Act, NIST AI RMF, ISO/IEC 42001, MAS TRM and FEAT (Singapore), PDPA, HIPAA, GDPR, SOC 2, and FCA expectations. Each control is linked to specific platform features, so you can show auditors exactly which WalledAI capability satisfies which requirement.
Yes. WalledAI addresses the EU AI Act's requirements for high-risk AI systems, including data governance, transparency, human oversight, logging, and post-market monitoring. The Governance Dashboard maintains the technical documentation and event logs the Act mandates.
Yes. WalledAI is built in Singapore and is listed by IMDA. It aligns with the Model AI Governance Framework, the GenAI Governance Framework, and AI Verify testing principles, and is designed for organisations operating under PDPA and MAS guidance.
WalledAI is complementary. Credo AI, Holistic AI, watsonx.governance, and Domino focus on policy registry, model risk, and lifecycle documentation. WalledAI focuses on the runtime control plane: masking, prompt injection blocking, hallucination detection, and per-interaction enforcement. Many enterprises run a GRC platform for documentation and WalledAI for real-time enforcement and audit-grade interaction logs.
Yes. WalledAI governs Microsoft 365 Copilot, Copilot Studio agents, and Azure OpenAI deployments through gateway, browser, or API integration. It masks sensitive data before prompts reach Copilot, blocks prompt injection in Copilot Studio agents, validates grounded responses, and logs every interaction for audit.
Microsoft Purview focuses on data classification and DLP inside the Microsoft estate. Noma Security focuses on agent security posture. WalledAI complements both by adding multi-modal PII masking, prompt injection and jailbreak prevention, hallucination detection, and runtime audit logs that work across Copilot, custom agents, and any external LLM - in one governance layer.
WalledAI is model and vendor agnostic. It governs ChatGPT, Claude, Gemini, Copilot, Llama, Mistral, and any open-weight or self-hosted model, across browser, API, agent, and on-prem deployments.
Yes. WalledAI supports on-premise, private cloud, and fully air-gapped deployment. Your data, prompts, masking maps, and audit logs never leave your infrastructure - critical for financial services, healthcare, defence, and government workloads.
No. WalledAI never uses customer prompts, responses, or data to train any AI model. All processing is governed by your policies and stays within your deployment boundary.
WalledAI streams logs to SIEMs (Splunk, Sentinel, Elastic), exports evidence to GRC platforms (Credo AI, Archer, ServiceNow GRC), and integrates with identity providers (Okta, Entra ID, Ping) for RBAC. Webhooks and APIs let you wire WalledAI into any incident response or model risk workflow.