> ## Documentation Index
> Fetch the complete documentation index at: https://standard.aiuc-1.com/llms.txt
> Use this file to discover all available pages before exploring further.

# A006: Prevent PII leakage

export const InlineClock = ({city, timeZone}) => {
  const [time, setTime] = useState('--:--:--');
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      minute: '2-digit',
      second: '2-digit',
      hour12: false,
      timeZone
    }).format(new Date()));
    update();
    const id = setInterval(update, 1000);
    return () => clearInterval(id);
  }, [timeZone]);
  return <div className="aiuc-footer-clock">
      <span className="aiuc-footer-clock-city">{city}</span>
      <span className="aiuc-footer-clock-time">{time}</span>
    </div>;
};

Establish safeguards to prevent personal data leakage through AI outputs and logs

<div className="aiuc-requirement-overview">
  <section className="aiuc-requirement-overview-section aiuc-requirement-overview-taxonomy">
    <div className="aiuc-requirement-overview-group">
      <div className="aiuc-requirement-overview-label">Keywords</div>

      <div className="aiuc-requirement-overview-pill-list">
        <span className="aiuc-requirement-overview-pill">Personal Data Leakage</span>
      </div>
    </div>
  </section>

  <section className="aiuc-requirement-overview-section aiuc-requirement-overview-details">
    <div className="aiuc-requirement-overview-detail">
      <div className="aiuc-requirement-overview-label">Application</div>
      <span className="aiuc-requirement-overview-pill">Mandatory</span>
    </div>

    <div className="aiuc-requirement-overview-detail">
      <div className="aiuc-requirement-overview-label">Frequency</div>
      <span className="aiuc-requirement-overview-pill">Every 12 months</span>
    </div>

    <div className="aiuc-requirement-overview-detail">
      <div className="aiuc-requirement-overview-label">Type</div>
      <span className="aiuc-requirement-overview-pill">Preventative</span>
    </div>

    <div className="aiuc-requirement-overview-detail">
      <div className="aiuc-requirement-overview-label">Capabilities</div>

      <div className="aiuc-requirement-overview-pill-list">
        <span className="aiuc-requirement-overview-pill">Universal</span>
      </div>
    </div>
  </section>

  <section className="aiuc-requirement-overview-section aiuc-requirement-overview-crosswalks">
    <div className="aiuc-requirement-overview-label">Crosswalks</div>

    <div className="aiuc-requirement-crosswalk-grid">
      <div className="aiuc-requirement-crosswalk-group">
        <div className="aiuc-requirement-crosswalk-heading">
          <span className="aiuc-requirement-crosswalk-title">MITRE ATLAS</span> <span className="aiuc-help-marker aiuc-crosswalk-help-marker" data-tooltip="Knowledge base of adversarial tactics, techniques and mitigation strategies for machine learning systems, similar to MITRE ATT&CK for cybersecurity" tabIndex="0">?</span>
        </div>

        <div className="aiuc-requirement-crosswalk-rule" aria-hidden="true" />

        <div className="aiuc-requirement-crosswalk-items">
          <a href="/crosswalks/mitre-atlas" title="Guardrails are safety controls that are placed between a generative AI model and the output shared with the user to prevent undesired inputs and outputs. Guard…">AML-M0020: Generative AI Guardrails</a>
        </div>
      </div>

      <div className="aiuc-requirement-crosswalk-group">
        <div className="aiuc-requirement-crosswalk-heading">
          <span className="aiuc-requirement-crosswalk-title">EU AI Act</span> <span className="aiuc-help-marker aiuc-crosswalk-help-marker" data-tooltip="EU regulation classifies AI systems by risk levels (minimal, limited, high, unacceptable) with corresponding compliance obligations" tabIndex="0">?</span>
        </div>

        <div className="aiuc-requirement-crosswalk-rule" aria-hidden="true" />

        <div className="aiuc-requirement-crosswalk-items">
          <a href="/crosswalks/eu-ai-act" title="The EU AI Act requires providers of high-risk AI systems to establish a post-market monitoring system. This system should collect and analyze data on the perfo…">Article 72: Post-Market Monitoring by Providers and Post-Market Monitoring Plan for High-Risk AI Systems</a>
        </div>
      </div>

      <div className="aiuc-requirement-crosswalk-group">
        <div className="aiuc-requirement-crosswalk-heading">
          <span className="aiuc-requirement-crosswalk-title">NIST AI RMF</span> <span className="aiuc-help-marker aiuc-crosswalk-help-marker" data-tooltip="US government framework for managing AI risks throughout the AI lifecycle with four core functions: Govern, Map, Measure, Manage" tabIndex="0">?</span>
        </div>

        <div className="aiuc-requirement-crosswalk-rule" aria-hidden="true" />

        <div className="aiuc-requirement-crosswalk-items">
          <a href="/crosswalks/nist-ai-rmf" title="Privacy risk of the AI system – as identified in the MAP function – is examined and documented.">MEASURE 2.10: Privacy risk assessment</a>
        </div>
      </div>

      <div className="aiuc-requirement-crosswalk-group">
        <div className="aiuc-requirement-crosswalk-heading">
          <span className="aiuc-requirement-crosswalk-title">OWASP Top 10</span> <span className="aiuc-help-marker aiuc-crosswalk-help-marker" data-tooltip="Curated list of the most critical security threats to LLM and generative AI systems" tabIndex="0">?</span>
        </div>

        <div className="aiuc-requirement-crosswalk-rule" aria-hidden="true" />

        <div className="aiuc-requirement-crosswalk-items">
          <a href="/crosswalks/owasp-top-10" title="Sensitive info in LLMs includes PII, financial, health, business, security, and legal data. Proprietary models face risks with unique training methods and sour…">LLM02:25 - Sensitive Information Disclosure</a>
          <a href="/crosswalks/owasp-top-10" title="Improper Output Handling involves inadequate validation of LLM outputs before downstream use. Exploits include XSS, CSRF, SSRF, privilege escalation, or remote…">LLM05:25 - Improper Output Handling</a>
          <a href="/crosswalks/owasp-top-10" title="Vectors and embeddings vulnerabilities in RAG with LLMs allow exploits via weak generation, storage, or retrieval. These can inject harmful content, manipulate…">LLM08:25 - Vector and Embedding Weaknesses</a>
        </div>
      </div>

      <div className="aiuc-requirement-crosswalk-group">
        <div className="aiuc-requirement-crosswalk-heading">
          <span className="aiuc-requirement-crosswalk-title">CSA AICM</span> <span className="aiuc-help-marker aiuc-crosswalk-help-marker" data-tooltip="Cloud Security Alliance’s AI Controls Matrix provides security controls framework specifically designed for AI/ML systems" tabIndex="0">?</span>
        </div>

        <div className="aiuc-requirement-crosswalk-rule" aria-hidden="true" />

        <div className="aiuc-requirement-crosswalk-items">
          <a href="/crosswalks/csa-aicm" title="Define, implement and evaluate processes, procedures and technical measures that ensure any transfer of personal or sensitive data is protected from unauthoriz…">DSP-10: Sensitive Data Transfer</a>
          <a href="/crosswalks/csa-aicm" title="Define and implement, processes, procedures and technical measuresto protect sensitive data throughout its lifecycle.">DSP-17: Sensitive Data Protection</a>
          <a href="/crosswalks/csa-aicm" title="Provide employees with access to sensitive organizational and personal data with appropriate security awareness training and regular updates in organizational…">HRS-12: Personal and Sensitive Data Awareness and Training</a>
          <a href="/crosswalks/csa-aicm" title="Define, implement and evaluate processes, procedures and technical measures for the transfer and sub-processing of personal data within the service supply chai…">DSP-13: Personal Data Sub-processing</a>
          <a href="/crosswalks/csa-aicm" title="Protect information from unauthorized disclosure on managed endpoint devices with storage encryption.">UEM-08: Storage Encryption</a>
          <a href="/crosswalks/csa-aicm" title="Define, implement and evaluate processes, procedures and technical measures to ensure that personal data is processed according to any applicable laws and regu…">DSP-12: Limitation of Purpose in Personal Data Processing</a>
        </div>
      </div>

      <div className="aiuc-requirement-crosswalk-group">
        <div className="aiuc-requirement-crosswalk-heading">
          <span className="aiuc-requirement-crosswalk-title">IBM AI Risk Atlas</span> <span className="aiuc-help-marker aiuc-crosswalk-help-marker" data-tooltip="Comprehensive taxonomy of risks associated with ML models, GenAI, and AI Agents from IBM Research" tabIndex="0">?</span>
        </div>

        <div className="aiuc-requirement-crosswalk-rule" aria-hidden="true" />

        <div className="aiuc-requirement-crosswalk-items">
          <a href="/crosswalks/ibm-ai-risk-atlas" title="Inclusion or presence of personal identifiable information (PII) and sensitive personal information (SPI) in the data used for training or fine tuning the mode…">IBM 30: Training Data - Personal information in data</a>
          <a href="/crosswalks/ibm-ai-risk-atlas" title="Confidential information might be included as a part of the prompt that is sent to the model.">IBM 45: Inference - Confidential data in prompt</a>
          <a href="/crosswalks/ibm-ai-risk-atlas" title="Personal information or sensitive personal information that is included as a part of a prompt that is sent to the model.">IBM 55: Inference - Personal information in prompt</a>
          <a href="/crosswalks/ibm-ai-risk-atlas" title="When personal identifiable information (PII) or sensitive personal information (SPI) are used in training data, fine-tuning data, seed data for synthetic data…">IBM 72: Output - Exposing personal information</a>
        </div>
      </div>

      <div className="aiuc-requirement-crosswalk-group">
        <div className="aiuc-requirement-crosswalk-heading">
          <span className="aiuc-requirement-crosswalk-title">Cisco AI Security Framework</span> <span className="aiuc-help-marker aiuc-crosswalk-help-marker" data-tooltip="Comprehensive AI threat landscape taxonomy identifying 19 attacker objectives with 150+ subtechniques from Cisco" tabIndex="0">?</span>
        </div>

        <div className="aiuc-requirement-crosswalk-rule" aria-hidden="true" />

        <div className="aiuc-requirement-crosswalk-items">
          <a href="/crosswalks/cisco-ai-security-safety-framework" title="Actors determine whether a specific data point, record, or individual was included in a model's training dataset, exposing sensitive information about training…">AITech-8.1: Membership Inference</a>
          <a href="/crosswalks/cisco-ai-security-safety-framework" title="Actors intentionally or unintentionally cause sensitive information to be exposed through model outputs, API responses, or system behaviors. This includes leak…">AITech-8.2: Data Exfiltration / Exposure</a>
          <a href="/crosswalks/cisco-ai-security-safety-framework" title="Actors trigger the unintentional or unauthorized exposure, leakage, or sharing of data, model parameters, or system details to parties who should not have acce…">AITech-8.3: Information Disclosure</a>
          <a href="/crosswalks/cisco-ai-security-safety-framework" title="Actors exploit insufficient sanitization, validation, filtering, or security controls applied to content generated by models or agents before it is passed to d…">AITech-12.2: Insecure Output Handling</a>
        </div>
      </div>
    </div>
  </section>
</div>

<section className="aiuc-requirement-control-evidence">
  <div className="aiuc-requirement-control-evidence-headings">
    <h2>Control activities</h2>
    <h2>Typical evidence</h2>
  </div>

  <div className="aiuc-requirement-control-evidence-group">
    <div className="aiuc-requirement-control-evidence-label">
      <span>Should include</span> <span className="aiuc-help-marker" data-tooltip="Organizations must demonstrate core controls to meet the requirement. Auditors may accept alternative implementations that achieve equivalent outcomes." tabIndex="0">?</span>
    </div>

    <div className="aiuc-requirement-control-evidence-row">
      <div className="aiuc-requirement-card aiuc-requirement-control-card">
        <div className="aiuc-requirement-control-item">
          <span className="aiuc-requirement-control-bullet" aria-hidden="true" />

          <p><strong>Implementing safeguards to prevent personal data leakage through AI system outputs and logs.</strong> For example, filtering prompts and outputs for personal identifiers before storage or display, implementing automated PII detection and redaction in system logs, preventing retention of outputs containing sensitive personal information, or blocking responses that would expose personal identifiers.</p>
        </div>
      </div>

      <div className="aiuc-requirement-card aiuc-requirement-evidence-card">
        <div className="aiuc-requirement-evidence-title">A006.1 Config: PII detection and filtering</div>
        <p>Configuration or code output demonstrating filtering of LLM inputs and/or outputs for personal identifiers - may include keyword checks or regex patterns detecting PII (e.g. names, emails, SSNs, phone numbers), scrubbing functions removing personal data before storage or logging, output filtering blocking responses containing personal identifiers, log redaction configuration removing PII from application or system logs, or structured logging with PII isolation controls.</p>

        <div className="aiuc-requirement-evidence-meta">
          <div className="aiuc-requirement-evidence-meta-group">
            <div className="aiuc-requirement-evidence-meta-label">Category</div>
            <a href="/evidence/technical-implementation">Technical Implementation</a>
          </div>

          <div className="aiuc-requirement-evidence-meta-group">
            <div className="aiuc-requirement-evidence-meta-label">Typical location</div>

            <div className="aiuc-requirement-evidence-pill-list">
              <span className="aiuc-requirement-evidence-pill">Eng: LLM output filtering logic</span>
              <span className="aiuc-requirement-evidence-pill">Eng: User LLM input filtering logic</span>
            </div>
          </div>

          <div className="aiuc-requirement-evidence-meta-group">
            <div className="aiuc-requirement-evidence-meta-label">Capabilities</div>

            <div className="aiuc-requirement-evidence-pill-list">
              <span className="aiuc-requirement-evidence-pill">Universal</span>
            </div>
          </div>
        </div>
      </div>
    </div>
  </div>

  <div className="aiuc-requirement-control-evidence-group">
    <div className="aiuc-requirement-control-evidence-label">
      <span>May include</span> <span className="aiuc-help-marker" data-tooltip="Supplemental controls demonstrating additional safeguards. Recommended when particularly relevant to the organization’s use case." tabIndex="0">?</span>
    </div>

    <div className="aiuc-requirement-control-evidence-row">
      <div className="aiuc-requirement-card aiuc-requirement-control-card">
        <div className="aiuc-requirement-control-item">
          <span className="aiuc-requirement-control-bullet" aria-hidden="true" />

          <p><strong>Integrating with existing data loss prevention (DLP) systems to monitor and block outputs containing personal data in violation of policy.</strong></p>
        </div>
      </div>

      <div className="aiuc-requirement-card aiuc-requirement-evidence-card">
        <div className="aiuc-requirement-evidence-title">A006.2 Config: DLP system integration</div>
        <p>Output pipeline integration with a DLP system to scan and block PII policy violations - may include DLP integration code scanning AI outputs before delivery to users, DLP configuration rules for PII detection, or logs showing blocked outputs containing personal data.</p>

        <div className="aiuc-requirement-evidence-meta">
          <div className="aiuc-requirement-evidence-meta-group">
            <div className="aiuc-requirement-evidence-meta-label">Category</div>
            <a href="/evidence/technical-implementation">Technical Implementation</a>
          </div>

          <div className="aiuc-requirement-evidence-meta-group">
            <div className="aiuc-requirement-evidence-meta-label">Typical location</div>

            <div className="aiuc-requirement-evidence-pill-list">
              <span className="aiuc-requirement-evidence-pill">Engineering Code</span>
            </div>
          </div>

          <div className="aiuc-requirement-evidence-meta-group">
            <div className="aiuc-requirement-evidence-meta-label">Capabilities</div>

            <div className="aiuc-requirement-evidence-pill-list">
              <span className="aiuc-requirement-evidence-pill">Universal</span>
            </div>
          </div>
        </div>
      </div>
    </div>
  </div>

  <p className="aiuc-requirement-alternative-evidence">Organizations can submit alternative evidence demonstrating how they meet the requirement.</p>
</section>

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        <span className="aiuc-footer-codeblock-text">AIUC-1 requirements for agent data, privacy, security, safety, reliability, accountability, and societal risk.</span>
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        <span className="aiuc-footer-codeblock-text">Crosswalks to AI regulations, standards, and security frameworks.</span>
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