AI Access to Production.
Governed. Auditable. Safe.
DataGrout gives security and GRC teams the MCP server security layer they can actually approve — mTLS identity, policy-enforced scopes, PII redaction, outbound-only private connectors, and cryptographic audit trails on every agent action. MCP security best practices enforced at the infrastructure level, not in prompts.
Why Security Teams Block AI Access
The problem isn't that AI agents are inherently unsafe. It's that there's no governing infrastructure between the agent and your production systems.
No safe path to give agents production access
Security teams block AI access to crown-jewel systems because there's no governed integration path. The result: automation stalls, teams build shadow scripts, and nobody has visibility.
Credential exposure is a when, not an if
API keys and service account tokens get copied into scripts, shared in Slack, and checked into repos. Once they leak, there's no clean way to limit the blast radius.
Audit questions go unanswered
'What data did our agents access last week?' shouldn't take days to answer. But when tool calls are made outside a governed layer, audit trails simply don't exist.
PII and regulated data end up in model context
Without infrastructure-level redaction, sensitive fields — SSNs, payment data, personal health information — flow into LLM prompts and logs. Compliance teams can't allow it.
Governance lives in the platform, not in prompts — DataGrout is the AI agent governance platform your security team can approve.
Most AI governance is implemented as instructions in a prompt. The problem: prompts can be overridden by jailbreaks, re-phrasing, or model updates. DataGrout's controls are architectural — SemanticGuard policies, logic.constrain rules, and flow.request-approval gates live at the infrastructure layer. An agent cannot talk its way past them.
SemanticGuard
Runtime policy at the tool-call layer — blocks disallowed operations before the API call happens, regardless of what the agent was instructed to do.
logic.constrain
Persistent Prolog-backed rules that enforce themselves across every matching workflow automatically. Define once — enforced everywhere, forever.
flow.request-approval
Human-in-the-loop gate on any consequential action. Pauses the workflow and routes to a named approver before any write or delete executes.
Nine Layers of MCP Security. One Tool Call.
Every MCP agent tool call passes through a sequential enforcement stack — from cryptographic identity at the network edge to a tamper-evident execution receipt at the end.
Machine Identity (mTLS & DataGrout CA)
Agents prove identity at the TLS layer with a certificate signed by the DataGrout CA — FIPS 140-2 Level 2 validated, private key never extracted from hardware. Stolen keys are just souvenirs.
Network Controls
IP allowlisting and automatic kill switch — credentials auto-revoke the moment they're used from an unrecognized IP.
Policy Cascade
Rules inherit downward: User Settings → Server Defaults → Integration Overrides → Upstream MCP Servers. Lower tiers can override, never escape.
SemanticGuard (Runtime)
Side-effect control, destructive operation blocking, OAuth scope validation, and tool allowlists — enforced before every API call.
Redactor (Output)
Auto-detects PII in tool responses and applies field-level redaction before data leaves the Hub layer. Opacity-aware: sensitive tool schemas can be withheld entirely from agent context.
Human Approval Gate (flow.request-approval)
flow.request-approval pauses any workflow and routes to a named approver before a write, delete, or any sensitive action executes. Configurable per operation type — not per-prompt instructions that can be jailbroken.
CTCs + Two-Stage Audit Trail
Cognitive Trust Certificates are two-stage: compile-time (plan formally validated safe before any tool fires) and runtime (cryptographic receipt of what actually ran). GRC can prove both that the plan was checked safe upfront and what occurred.
Warden (Injection Defense)
Three-tier prompt injection detection — canary probes, semantic intent analysis, and Prolog-backed adjudication — runs on every untrusted input. Warden verdicts integrate directly with flow.route to halt workflows before reaching downstream tools.
Cadence (Loop Detection)
Consequence-aware session tracking with separate thresholds for read, write, and destructive operations. An agent stuck retrying a DELETE is halted far faster than one retrying a read — protecting against runaway destructive loops.
What Security Teams Rely On DataGrout For
Scoped Agent Access to Production Systems
Define exactly which systems agents can read or write, at what granularity, and under which conditions — enforced at the platform layer, not scattered across prompts and env vars. Flow validates plans pre-execution so scope violations are caught before any tool fires.
- Per-connector scopes and allowlists enforced before any tool call fires
- Side-effect controls: read, write, and destructive operations each gated separately
- Policy cascade from org level → server → integration → agent
- logic.constrain stores persistent enforcement rules — 'no agent may DELETE from production', 'all writes require approval' — enforced automatically on every matching workflow, unjailbreakable by any prompt
Prompt Injection Defense
Any agent that processes untrusted input — customer submissions, vendor documents, external API responses — is a prompt injection attack surface. Warden uses three independent detection tiers so what one method misses, another catches.
- T1 — warden.canary: protocol adherence probes that detect instruction overrides in milliseconds
- T2 — warden.intent: semantic analysis that surfaces what the content is actually trying to accomplish
- T3 — warden.adjudicate: Prolog-backed rule evaluation against formal policy constraints
- Configurable thresholds per sensitivity level — strict for financial ops, lenient for low-risk interactions
- Composable with flow.route: Warden's verdict halts the workflow before any downstream tool executes
Related Solutions
Outbound-Only Data Center Access
Private Connectors reach your on-prem databases, legacy ERP, and air-gapped systems through an outbound-only encrypted tunnel — zero inbound firewall rules required. A security design your team can present to a review board.
- VPN appliance deployed inside your network, outbound-only
- mTLS authentication, unique keys per connector, instant revocation
- Full Hub policy enforcement, SemanticGuard, Redactor, and audit logging still apply
Related Solutions
Compliance-Friendly Logging & Audit
Every tool call is authenticated, authorized, and logged. CTCs are two-stage: a compile-time certificate is issued when Flow validates the plan safe pre-execution (before any tool fires), then updated with a runtime receipt after. For GRC, the compile-time CTC is the critical evidence — it proves the workflow was formally checked safe before anything ran.
- Compile-time CTC: cryptographic proof the plan was validated safe — no cycles, type-safe, policy-compliant — before any tool fired
- Runtime receipt: tamper-evident record of what each step accessed, wrote, and cost
- Shareable with auditors without granting live system access
Related Solutions
PII Redaction at the Infrastructure Layer
Redactor automatically detects and redacts PII from tool responses before data reaches agents or logs — enforced infrastructure-wide. Opacity-aware: closed or private skills can have their output schemas withheld entirely, so agents never see the raw output structure of sensitive tools.
- Auto-detects SSNs, emails, phone numbers, credit card data in tool responses
- Field-level redaction strategies: mask, fixed-length substitution, or full removal
- Opacity mode: sensitive tool output schemas can be fully withheld from agent context
- Applies at Hub layer regardless of which agent or tool triggered the call
Related Solutions
Automated Threat Intelligence & Response
Enable AI agents to consume threat intelligence feeds, correlate events across your security stack, and initiate pre-approved response actions — providing rapid detection and remediation without human intervention for known threat patterns.
- Integrates with SIEMs and threat intelligence platforms via governed Hub connectors
- Agents automatically triage, correlate, and escalate alerts with full context
- Policy-driven automated remediation for known threats — human approval gates for novel ones
- Cryptographic audit trail for every automated response action — defensible in a post-incident review
Built for Every Security & Compliance Role
CISOs
- A security architecture you can present to the board and a review committee
- Kill switches for tools, connectors, and agents without tearing down the stack
- Warden's three-tier injection defense runs on every untrusted input before it reaches downstream tools
- Agents can't override SemanticGuard or logic.constrain rules — no jailbreak works at the infrastructure layer
IT / Security Engineers
- Per-connector mTLS, IP allowlists, and outbound-only tunnels
- Private Connectors reach on-prem with zero inbound firewall rules
- Instant credential revocation scoped to a single connector
- Cadence detects stuck destructive-operation loops and halts them before damage compounds
GRC / Compliance
- Two-stage CTCs: compile-time proof the plan was validated safe before any tool fired, plus a runtime receipt of what actually ran
- flow.request-approval creates a human checkpoint on any write or delete — auditable, named approver, logged
- PII policies enforced at Hub layer via Redactor — not per-prompt patches that model updates can break
- logic.constrain rules are formal Prolog constraints — defensible in an audit as infrastructure-enforced, not instructional
A Security Design Your Team Can Approve.
Governed agent access. Cryptographic audit trails. Zero inbound firewall rules for on-prem. Built for enterprise security posture.