Solutions
Policy, proof, and control for every enterprise AI request
100%
requests policy-checked
No bypass path around the AI Gateway policy decision point.
<50ms
typical PDP overhead
Inline classification and guardrails on the hot path.
7 yrs
audit retention options
Configurable hold for regulated industries.
0
raw secrets in traces
Vaulted credentials and redacted payloads by default.
Enterprise architecture
AI governance in the request path
Identity, classification, and policy execute before the model sees data—and every decision is evidence in the audit lake.
AI governance in the request path
ForgeCruxProbing Deeper, Stacking PrecisionApps & copilots
Chat, batch, SDKs
Agents
Tool-using workloads
Identity
SSO, RBAC, workload
Policy PDP
Classify • guardrail • residency
AI Gateway
Route • budget • cache
Allowed models
Region-pinned providers
PII / PHI / PCI
Prompt & completion
HITL queue
High-risk prompts
Eval gates
CI + online quality
Audit lake / SIEM
Immutable decisions
Governance in the request path
Policies execute before the model sees data and after the model responds—not as an after-the-fact report.
Evidence, not screenshots
Every allow, deny, redact, and route decision is attributable to an actor, policy version, and timestamp.
Safe speed
Teams ship new prompts and models through the same gates security already requires for APIs.
Key Capabilities
Complete AI Governance capabilities
Everything required to publish, secure, mediate, observe, and operate ai governance workloads on ForgeCrux.
Enterprise uses
Where AI governance is enforced—not documented after the fact.
- AI CoE: approved use cases, model allow lists, and spend caps
- Security: PII/PHI/PCI, injection, and residency in the request path
- Legal / GRC: immutable decisions mapped to SOC 2, HIPAA, GDPR
- Developers: playground and SDKs that cannot bypass the PDP
- Agents: every model call still hits the same policy engine
- FinOps: token and dollar budgets by org, team, and application
Installation & deployment
Put the policy decision point on the hot path.
- AI Gateway data plane in SaaS, VPC, Kubernetes, or air-gapped
- PDP co-located for <50ms typical overhead
- Connect SSO, SCIM, and workload identity before production keys
- Region pin and provider allow lists per environment
- WORM / object-store audit with configurable retention
- SIEM exporters: Splunk, Sentinel, Chronicle
Setup & onboarding
Classify, enforce, then prove.
- Inventory copilots and agents; assign data class and risk tier
- Point SDKs at ForgeCrux; block direct provider keys in production
- Codify guardrails, residency, and budgets as Git-reviewed policy
- Turn on classify → permit/redact → post-filter on completions
- Wire HITL for high-risk tiers and eval gates in CI
- Ship decision logs to SIEM and GRC with legal hold options
Security & evidence
Allow, deny, redact, and route are attributable events.
- SSO, RBAC/ABAC, and separation of duties for policy authors vs operators
- PII/PHI/PCI on prompts and completions; output schema checks
- Prompt-injection, jailbreak, toxicity, and topic controls
- Customer-managed keys and no raw secrets in traces
- Break-glass with dual control and expiry—not permanent bypass
- Kill switch per model, app, or organization
Access, data, and model controls
Who may call which model with which class of data.
- Role and attribute-based access to models and playgrounds
- Purpose limitation and approved-use-case catalogs
- Residency, sovereignty, and prohibited-provider lists
- Bring-your-own key and customer-managed encryption
- Separation of duties for policy authors vs operators
- Break-glass with dual control and expiry
Runtime safety and evaluation
Continuous proof that AI stays inside policy.
- Injection, jailbreak, toxicity, and groundedness checks
- Output schema and citation requirements
- Human review for designated risk tiers
- Offline evals on golden sets before promotion
- Drift and quality alerts in production
- Kill switch per model, app, or organization
Data flows
How requests, policies, and telemetry move through ForgeCrux in this solution.
Prompt data flow
What happens to enterprise data inside a single completion.
Ingress
TLS + identity
Classify
Labels on spans
Permit / redact
PDP decision
Model
Allowed region only
Post-filter
PII + schema + toxicity
Compliance evidence flow
How security and audit consume gateway telemetry.
Decision log
Policy version + hash
Object store
WORM / legal hold
SIEM correlate
User • app • model
Control test
SOC / HIPAA packs
Board report
Exceptions + spend
How teams run AI Governance on ForgeCrux
Classify use cases
Inventory copilots and agents; assign data class and risk tier.
Put the gateway in path
Point SDKs at ForgeCrux; block direct provider keys in production.
Codify policy
Guardrails, residency, and budgets as reviewed Git artifacts.
Wire evidence
Ship decision logs to SIEM and GRC with retention controls.
Gate releases
No prompt or model change without eval + policy sign-off.
Operate exceptions
Time-boxed waivers with owners, not permanent bypasses.
Related Products
AI Gateway
ForgeCrux AI Gateway is the single endpoint for multi-model access, intelligent routing, prompt control, guardrails, token and cost management, evaluation, and LLM observability—across OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, and self-hosted models.
Observability
ForgeCrux One Observability is the telemetry plane for APIs, LLMs, MCP tools, and agents. Platform, SRE, security, and FinOps teams ingest logs, metrics, and traces from every gateway hop, then act from one dashboard—maps, alerts, incident tools, and audit replay included.
MCP Security
ForgeCrux MCP Security puts every Model Context Protocol call on a governed path: authenticate the client, authorize the tool, inject vaulted credentials, inspect payloads, rate-limit, and write an immutable audit record.
Ready to get started with AI Governance?
Talk to our team about deploying AI Governance in your enterprise environment.