Data Security for AI · Claude

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AccuroAI/Data Security

Secure Claude conversations.

Inline inspection of every Claude prompt and response — claude.ai, API, claude-code, and MCP-enabled tools. PII, PHI, source, and customer data never leaves your perimeter.

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Data Security for AI · Claude — AccuroAI dashboard

Sound familiar?

The problems this exists to solve.

Claude is in your codebase now

Claude Code and IDE integrations mean the prompt isn't a paragraph anymore — it's your repository. Source and secrets flow out as 'context' by design.

MCP multiplies the surface

Every MCP server an employee wires up gives Claude a new tool it can call — file systems, databases, internal APIs — with no one reviewing what crosses that boundary.

Three doors, one policy gap

claude.ai in the browser, the API in your products, Claude Code in terminals. Three entry points, usually zero consistent controls across them.

● Live redaction · nothing leaves your browser

Paste sensitive data. Watch it disappear.

AccuroAI intercepts every Claude prompt inline — PII, PHI, credentials, and addresses are masked before the request leaves your network.

Raw input · paste anything

Claudeclaude.ai

Hi team — following up on my convo with Sarah.

Customer: [NAME]
Email: [EMAIL]
Phone: (XXX) XXX-XXXX
SSN: XXX-XX-XXXX
Credit card: XXXX-XXXX-XXXX-XXXX

Please push the [SECRET] to the vault, and add her address: [ADDRESS].

Her DOB is XX/XX/XXXX. Medical record #[MED_ID].

● AccuroAI redacted 9 sensitive fields before sending

I can help with that follow-up for the customer record. Note that I received the message with sensitive fields already redacted by your security policy — I'll work with the sanitized version to keep your data safe.

● 9 redactions

● Name·1

● Email·1

● Phone·1

● SSN·1

● Card·1

● Secret·1

● Address·1

● DOB·1

● MedID·1

Capabilities

Built for enterprise AI.

Prompt & response DLP

Redact sensitive data in both directions. Stops exfiltration via conversation.

MCP tool inspection

Every tool call Claude makes — inspected, logged, and policy-gated.

Claude Code guardrails

Source-code and secret scanning before Claude Code sends your repo to the cloud.

Usage analytics

Per-team, per-user Claude usage. Know where the value is — and the risk.

In practice

How it works for your team, day to day.

Both directions, all three surfaces

AccuroAI inspects Claude traffic where it originates — browser sessions on claude.ai, API calls from your services, and Claude Code on developer machines — with one policy engine and the same 40+ classifiers, at sub-38ms. PII, customer data, and credentials are redacted before Anthropic ever receives them.

claude.ai, API, and Claude Code under one policy

Prompt and response inspected in both directions

Endpoint coverage reaches terminals, not just tabs

MCP tool calls, policy-gated

Tool calls are where conversations become actions. Each MCP call Claude makes — what tool, what arguments, what comes back — is logged and evaluated against policy, so a prompt-injected instruction to read ~/.aws/credentials gets stopped as an action, not discovered in a postmortem.

Every MCP tool call inspected and logged

Argument-level policy: what the tool may touch

Injection-driven tool abuse blocked at execution

Guardrails for Claude Code specifically

Before Claude Code ships repository context to the cloud, AccuroAI scans it for secrets, keys, and protected source — 60+ secret types — and redacts or blocks per policy. Developers keep the productivity; the security team keeps the audit trail of exactly what left each machine.

Secret and key scanning before context upload

Repo-level rules for protected source paths

Per-developer, per-project usage attribution

FAQ

The questions we hear most.

Doesn't Anthropic already offer enterprise controls?

Anthropic controls what happens after your data arrives — retention, training use. AccuroAI controls what arrives in the first place, and covers the personal accounts and side channels an enterprise agreement can't see.

How does MCP inspection work without breaking tools?

Calls are evaluated inline against policy; allowed calls pass through untouched. Only calls that trip a rule — a sensitive path, an unsanctioned destination — are blocked or held for approval, with a logged reason.

Will developers notice latency in Claude Code?

Inspection stays inside the sub-38ms p99 envelope — imperceptible next to model response time.

Does this cover the Claude API inside our own product?

Yes — API traffic is inspected with the same policies, so your customer-facing Claude features inherit the same data guarantees as internal use.