These technical-control mappings show how supported BitDrip capabilities can support an organization's compliance work. They do not guarantee compliance, prevention, or detection; validate coverage and configuration for your environment.
Each row is a detection rule category built into BitDrip. Each column is a compliance framework. A check mark identifies a technical mapping to evaluate; it is not certification that a legal requirement is satisfied.
| Rule Category | GDPR | HIPAA | PCI DSS v4 | SOC 2 | ISO 27001 | CCPA |
|---|---|---|---|---|---|---|
| PII Names, emails, phones, addresses, SSNs, DOB, IPs | ✓ | ✓ | Partial | ✓ | ✓ | ✓ |
| PHI Medical records, diagnosis codes, medications, insurance IDs | ✓ | ✓ | — | ✓ | ✓ | ✓ |
| PCI / Payment Card numbers (Luhn), CVV/PIN, bank accounts, SWIFT/IBAN | ✓ | — | ✓ | ✓ | ✓ | ✓ |
| Credentials API keys, passwords, OAuth tokens, JWTs, SSH private keys | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Proprietary Data Classification markers, internal hostnames, project codenames | ✓ | — | — | ✓ | ✓ | — |
| Agentic Actions MCP tool calls, shell commands, DB connection strings in agent output | ✓ | ✓ | ✓ | ✓ | ✓ | Partial |
| Audit Log Tamper-evident hash-chain evidence for supported recorded policy decisions | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Architecture Customer-controlled supported paths, TLS inspection, bounded portal data path | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Each section lists specific articles or control numbers, what BitDrip enforces against them, and the mechanism used. Coverage notes are honest about scope.
GDPR governs processing of personal data in its scope. BitDrip capabilities may support selected technical-control objectives when validated and configured for the deployment; they do not replace legal analysis or organisational obligations such as governance, assessments, and data-subject workflows.
| Article / Requirement | What BitDrip Enforces | How |
|---|---|---|
| Art. 5(1)(c) Data minimisation |
Can block detected personal data on supported configured AI paths | PII Detection and blocking of personal identifiers (names, emails, phone numbers, addresses, national ID numbers, DOB) in outbound AI requests. Policy can block, warn, or redact. |
| Art. 9 Special category data |
Detects health and biometric data before it reaches AI services | PHI Rules targeting ICD-10 codes, diagnosis terms, medication names, medical record numbers, and insurance IDs. High-confidence detection with immediate-block option. |
| Art. 25 Data protection by design |
Customer-controlled evaluation can apply policy before forwarding on supported paths | Architecture The customer-controlled proxy and policy engine evaluate supported configured paths before forwarding to external AI services. The separate commercial portal has the bounded data path described in the privacy notice. |
| Art. 32 Security of processing |
Enforces encryption in transit; generates evidence of technical controls | Architecture Audit Supported configured proxy paths use authenticated TLS connections and can produce policy-decision evidence. Validate protocol configuration and the deployed audit fields before relying on the mapping. |
| Art. 83 Administrative fines |
Provides documented evidence that technical controls were in place | Audit Tamper-evident, hash-chained audit log exportable for DPA investigations. Demonstrates due diligence and existence of technical safeguards at the time of any alleged violation. |
HIPAA's Security Rule includes administrative, physical, and technical safeguards for electronic protected health information (ePHI). BitDrip capabilities can support selected technical safeguards, including access, audit, integrity, and transmission-security controls, when validated and configured for the organization's environment.
| Section | Capability mapping | How |
|---|---|---|
| §164.312(a)(1) Access controls |
Applies per-user policy and records identity on supported configured AI interactions | Audit Supported user groups can have different policy actions. Validated audit configurations can associate supported policy decisions with an authenticated identity. |
| §164.312(b) Audit controls |
Records and retains hardware and software activity logs for ePHI access events | Audit Tamper-evident audit records can contain timestamp, user, action, matched rule, and service endpoint. Confirm deployed fields, export behavior, and customer-controlled retention before relying on them. |
| §164.312(c)(1) Integrity |
Ensures audit records have not been altered or destroyed | Audit Hash-chain integrity: each audit log entry includes a SHA-256 hash of the previous entry. Any tampering breaks the chain and is detectable during export verification. |
| §164.312(e)(1) Transmission security |
Protects ePHI in transit between your users and AI services | Architecture BitDrip operates as a TLS interception proxy for supported configured paths. Validate TLS behavior, application compatibility, and certificate trust before relying on the control; pinned and proxy-bypassing applications are outside this coverage. |
| §164.514(b) Minimum necessary |
Blocks PHI from being included in AI prompts beyond what is required | PHI 29 detection rules covering the PHI categories most likely to appear in AI prompts: medical record numbers, ICD-10 diagnosis codes, condition and disease names, medication names, insurance member IDs, dates of service, provider names, and patient account numbers. |
PCI DSS v4.0 includes controls for protecting cardholder data and sensitive authentication data (SAD). BitDrip can detect supported patterns and apply configured policy actions on validated proxy paths; organizations must assess detector coverage, bypass paths, and the rest of their cardholder-data environment.
| Requirement | What BitDrip Enforces | How |
|---|---|---|
| Req 3.3 SAD protection |
Can detect and block supported sensitive-authentication-data patterns on configured paths | PCI Dedicated detection rules for CVV/CVC codes, card PINs, and full magnetic stripe data patterns. Immediate-block policy option with violation logged. |
| Req 3.4 PAN rendering |
Detects primary account numbers (PANs) in outbound AI traffic | PCI Luhn-algorithm-validated detection for Visa, Mastercard, Amex, and Discover card number formats. Reduces false positives dramatically compared to regex-only approaches. Violation triggers block or redaction. |
| Req 7.2 Access control systems |
Logs which user triggered which policy decision for access review purposes | Audit Credentials User-identity-tagged audit evidence can support least-privilege access reviews. Credential detection can apply configured actions to supported API-key and service-token patterns. |
| Req 10.2 Audit log implementation |
Generates audit evidence that can support customer-defined retention and review controls | Audit Validated audit configurations can record user, event, time, result, origin, and affected-resource fields. Confirm deployed event coverage, hash-chain verification, and customer-controlled retention. |
| Req 12.3.2 Annual risk assessment |
Provides violation data and trend reports for the targeted risk analysis (TRA) | Audit Compliance dashboard generates per-framework violation reports exportable as evidence for annual risk assessment documentation. |
SOC 2 Type II is the de facto security assurance standard in B2B SaaS. It requires documented evidence that controls were operating effectively over a defined audit period. BitDrip contributes controls and supporting evidence across the Security (CC) Trust Service Criteria — particularly logical access, transmission, monitoring, and vendor risk management — which are areas directly impacted by uncontrolled AI tool usage.
| Criterion | What BitDrip Enforces | How |
|---|---|---|
| CC6.1 Logical access security |
Can detect supported credential and sensitive-data patterns in configured AI paths | Credentials PII Detection of API keys (OpenAI, AWS, GCP, GitHub, Stripe, etc.), passwords in context, OAuth tokens, JWTs, and private SSH keys. Access to AI services is logged per user identity. |
| CC6.2 Prior to issuing credentials |
Detects credentials being inadvertently exposed via AI interactions before revocation can occur | Credentials Real-time detection and blocking of credential patterns in prompts and AI responses. Violation triggers immediate alert, enabling rapid revocation workflow. |
| CC6.7 Transmission and disclosure |
Controls and monitors disclosure of information to AI service providers | Architecture Audit Supported configured AI traffic is proxied and evaluated before forwarding. Validate each application path; bypassing, pinned, and unsupported traffic requires separate controls. |
| CC7.2 Monitoring of system components |
Provides anomaly detection and alerting for AI usage policy violations | Audit Violation rate monitoring, per-user anomaly detection, and SIEM export (CEF/JSON). Threshold-based alerting configurable in the compliance dashboard. |
| CC9.2 Vendor and business partner risk |
Provides visibility into data shared with AI service vendors (ChatGPT, Claude, Gemini, etc.) | Audit Per-vendor traffic reports show volume, violation counts, and blocked requests by AI provider. Supports vendor risk assessment documentation for SOC 2 auditors. |
ISO 27001:2022 Annex A includes controls addressing data leakage prevention (A.8.12) and information transfer (A.5.14). The mappings below can support an organization's evaluation of BitDrip as one technical control; applicability and inclusion in an ISMS remain the organization's and auditor's decisions.
| Control | What BitDrip Enforces | How |
|---|---|---|
| A.5.14 Information transfer |
Enforces policies governing the transfer of information to AI service providers | Proprietary PII Policy rules can apply to supported configured outbound AI paths. Transfer rules are configurable per user group, provider, and data classification, with block, warn, or log actions. |
| A.8.2 Information classification |
Detects classified and proprietary information markers before transmission | Proprietary Detection of internal classification labels: CONFIDENTIAL, INTERNAL, PROPRIETARY, RESTRICTED, and custom markers configurable per organisation. Source code file paths with internal hostname patterns also detected. |
| A.8.12 Data leakage prevention |
Provides configurable DLP controls for supported detection categories and AI paths | PII PHI PCI Credentials 29 detection rules across 6 categories covering the data types most likely to appear in AI prompt leakage incidents. BitDrip is purpose-built as an AI-channel DLP control. |
| A.8.16 Monitoring activities |
Provides continuous monitoring and logging of AI channel activity | Audit Policy evaluation on supported configured AI requests, audit evidence, SIEM export, and threshold alerting can support monitoring controls. Customer storage configuration governs retention. |
| A.8.20 Networks security |
Enforces TLS inspection and network-layer policy on AI traffic | Architecture BitDrip operates as a network-layer HTTPS proxy. TLS termination and re-encryption let it inspect configured supported traffic paths. Applications that bypass the proxy, use certificate pinning, or use unsupported transports require separate controls. |
The CCPA and its CPRA amendment give California residents rights over their personal information and impose obligations on businesses to protect that data. The "reasonable security" standard (§1798.81.5) is a key enforcement point — businesses must implement appropriate technical measures. AI tools present a novel risk vector: employee use of ChatGPT, Claude, or Gemini can result in California resident personal information being sent to third-party AI providers, triggering CCPA obligations.
| Section | What BitDrip Enforces | How |
|---|---|---|
| §1798.100 Right to know |
Creates an audit trail of personal information categories disclosed to AI providers | Audit PII Validated recorded events can identify the supported category and provider involved. Per-user and per-provider reports may support an organization's disclosure-mapping work but do not establish legal fulfilment. |
| §1798.140(o) Personal information definition |
Detects personal information as broadly defined under CCPA | PII CCPA's PI definition is broad: names, addresses, IP addresses, email addresses, government IDs, biometric data, browsing history, inferences. BitDrip's PII rules cover the technically detectable subset of this definition in text form. |
| §1798.150 Data breach liability |
Reduces breach risk by blocking PI before it reaches AI service providers | PII Credentials A successful block on a supported configured path stops that request before forwarding. Detector misses, bypass paths, policy choices, and other transfers require separate assessment and controls. |
| §1798.81.5 Reasonable security |
Provides documented technical safeguards for personal information handling | Architecture Audit Supported-path policy evaluation, authenticated connections, per-user evidence, and verified tamper-evident records may contribute to an organization's broader reasonable-security evidence. They do not establish legal compliance by themselves. |
BitDrip provides configurable technical controls that can support selected framework objectives on validated paths. The mappings above assist technical evaluation; they are not a legal opinion, certification, or guarantee of control effectiveness.
BitDrip does not replace your legal counsel, a qualified Data Protection Officer, a PCI QSA, a certified ISO 27001 auditor, or a licensed CPA performing a SOC 2 audit. Compliance with any regulation requires a combination of technical controls, organisational policies, staff training, contractual measures, and ongoing governance — only some of which BitDrip addresses.
Compliance requirements vary by jurisdiction, industry, and the specific nature of your data processing activities. Always engage qualified legal and compliance professionals before making regulatory claims.
We can walk your security or compliance team through exactly how BitDrip maps to your specific regulatory obligations and help you gather the evidence artefacts your auditor needs.