Built for Enterprise Governance
Governance without data exposure, designed for enterprise security review.
Security Posture
ThinkNEO does not train models. Retention of governance metadata is configurable per tenant. Security documentation available upon request.
Security & Compliance
- Tenant Isolation: Isolated tenant architecture with strict workspace boundaries.
- Role-Based Access Control (RBAC): Controlled access by role and workspace-level permissions.
- Immutable Usage Logs: Immutable per-request event history for audits and investigations.
- Encrypted Key Storage: Secure handling and storage of provider API credentials.
- Exportable Audit Reports: Structured governance records ready for finance and compliance workflows.
- SIEM-Ready Logs: Streamable event data for enterprise monitoring and detection systems.
- SSO-Ready Architecture: Architecture prepared for enterprise identity and access integrations.
- SOC 2 Alignment: SOC 2 Type II alignment in progress.
Runtime Threat Defense
ThinkNEO security is built for live AI execution, not only static controls. Runtime guardrails are designed to block unsafe behavior before it reaches models, tools, or downstream systems.
- Prompt injection defense with context integrity checks before policy-approved tool execution.
- Jailbreak defense with risk scoring and monitor or enforce actions based on policy thresholds.
- Secret leakage prevention for credentials, internal tokens, keys, and sensitive operational identifiers.
- Exfiltration prevention for outbound tool actions and response payloads with boundary-aware controls.
- Per-request and per-session risk scoring to support escalation workflows and incident handling.
Contextual Data Security And AI-Specific DLP
Enterprise AI requires controls beyond generic PII masking. ThinkNEO applies policy to business-sensitive context and data flow behavior across prompts, retrieval context, model output, and tool actions.
- Context-aware classification for contracts, source code, pricing data, internal documentation, and strategic IP.
- Masking, tokenization, and redaction controls with policy modes tied to runtime risk level.
- AI-specific DLP policies for prompts, retrieval chunks, generated outputs, and action payloads.
- Data residency and boundary policy support by tenant, workspace, model path, and operational region.
- Oversharing prevention for internal knowledge surfaces and external response channels.
- Data lineage visibility from source context through prompt, model decision, output, and resulting action.
Risk Scoring And Enforcement Modes
Runtime controls are most effective when they are risk-aware. ThinkNEO is designed to combine scoring, thresholding, and intervention modes for predictable security operations.
- Unified risk scoring context across request, session, workflow, and governed agent actions.
- Policy thresholds scoped by tenant, workspace, use case, and sensitivity class.
- Monitor-to-enforce rollout path with explicit approval and rollback discipline.
- Escalation pathways for human review when risk exceeds operational confidence levels.
- Tuning workflows to reduce false positives while preserving defensive coverage.
Data Residency And Boundary Governance
Boundary controls are essential for enterprise deployment. ThinkNEO policy design supports residency-aware routing and destination-aware action controls.
- Boundary policy support by tenant, workspace, region, and deployment environment.
- Model-path and provider-path restrictions for workloads with residency requirements.
- Connector egress controls with destination allowlists and policy-governed outbound behavior.
- Cross-boundary event visibility for incident response and compliance review workflows.
- Default-deny operating posture for high-sensitivity data paths and high-risk actions.
Evidence, Lineage, And Compliance Operations
Security controls are operationally useful only when they are observable and reviewable. ThinkNEO is designed to provide evidence quality for security, engineering, and compliance functions.
How It Works
From zero to full governance in four steps.
- Connect Providers: Secure adapters integrate with major AI platforms: OpenAI, Anthropic, Google Gemini, xAI, Mistral, OpenRouter, and any OpenAI-compatible endpoint. Supports standard OpenAI chat, completions, and embeddings patterns used in production.
- Redirect API Calls: Use ThinkNEO's OpenAI-compatible base URL to route requests through governance.
- Apply Governance: Set budgets, routing rules, and model access policies enforced before execution.
- Monitor & Optimize: Track usage, detect anomalies, export reports, and optimize model allocation in real time.
AI Provider Agnostic by Design
Production-ready adapters across leading AI providers: OpenAI • Anthropic • Google Gemini • xAI • Mistral • OpenRouter.
- Provider-Specific Adapter Layer: Handles authentication quirks, rate limits, metadata normalization, token accounting differences, and error mapping.
- Model Policy Controls: Allow or deny specific models per workspace, team, or environment.
- Real-Time Monitoring: Live dashboards for finance and operations teams with immediate usage visibility.
- Rate Controls & Guardrails: Apply usage guardrails by key, team, and environment to prevent overrun incidents.
Security Deep Dives
Explore the detailed public architecture behind observability, runtime guardrails, and governance workflows.
- Explore Deep Observability
- Explore Runtime Guardrails
- Explore Governance & Compliance
Request Security Overview
Security review available on request