ASIC

Australian Securities and Investments Commission

Tracked since 11 Nov 2025 · 4 revisions (3 changes) · last change 1 May 2026

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ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s Policy for the responsible use of AI in government (the policy). The policy provides mandatory requirements for government departments and agencies. This page provides details of ASIC’s implementation of those requirements. (Template language)

ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems.

ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation.

Why ASIC uses AI or is considering its adoption

ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI.

Classification of AI use according to usage patterns and domains

ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk.

As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification.

The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency (DTA):

The table below describes AI usage at ASIC.

Usage pattern | Description
---|---
Analytics for insights | Identifies patterns, produces insights, and extracts information within structured and unstructured data
Workplace productivity | Automates routine tasks, helps manage workflows and supports staff with administrative activities
Decision making and administrative action | Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker
Image processing | Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material

The table below demonstrates ASIC domains where AI is used at ASIC.

Domain | Description
---|---
Compliance and fraud detection | Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk
Corporate and enabling | Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency
Law enforcement, intelligence, and security | Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering
Service delivery | Enhances efficiency of internal services

Classification of use where the public may directly interact with, or be significantly impacted by AI or its outputs, without human review

ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement.

Measures to monitor the effectiveness of deployed AI systems and protect the public against negative impacts

ASIC has governance structures and processes in place and is continuously developing these in alignment with whole-government initiatives. For example:

Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the Australian AI Ethics Principles and implements the Australian Government’s Policy for the responsible use of AI in government. (Template language)

AI assurance and risk management process

We are participating in whole-of-government initiatives to develop an AI assurance process comprising of AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities.

For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the National framework for the assurance of AI in government.

ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken.

Our AI board is the primary governance body for AI which oversees the design, development, deployment and use of AI in ASIC. This includes approval of AI use cases and making recommendations for improvements, risk mitigation, and ongoing monitoring and compliance.

We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved:

  • regular monitoring and evaluation of performance,
  • adoption of robust security measures and access control, including monitoring for abnormal security activities, and
  • implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable.

Compliance with the requirements under the Policy for responsible use of AI in government (Template language)

AI accountable official and chief AI officer (Template language)

ASIC’s Senior Executive Leader, Data, Analytics and AI is the accountable official under the policy and the chief AI officer under the APS AI Plan 2025. (Template language)

Strategic position on AI adoption

ASIC is currently developing a Data, Digital and AI Strategy which will outline ASIC’s strategic position on AI adoption.

Internal AI use case register and use case accountability

ASIC maintains an internal register of AI use cases that captures the minimum required fields outlined in the Standard for accountability. Each use case has a designated accountable use case owner.

Operationalising the responsible use of AI and AI impact assessment

ASIC has established an AI policy, AI board and AI use case assessment that integrates all provisions of the DTA’s AI impact assessment tool. This includes assessment of AI use cases by ASIC’s AI board and reporting of any high-risk use cases to the DTA. ASIC also has existing risk incident management processes which includes AI incidents.

ASIC will be implementing the Australian Public Service Academy’s (APSC) AI in government fundamentals as a mandatory training for all ASIC staff. In addition, we implement role-based training programs and a series of organisation-wide AI training sessions. Data literacy is also a core capability within ASIC’s learning and development syllabus.

Updates and more information (Shared with 1 other agency)

This transparency statement was most recently updated on 27 February 2026. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months.

If you have questions or seek more information about this AI transparency statement please submit an online enquiry.

Update publication date | Update comment
---|---
28 February 2025 | Publication of first AI transparency statement
27 February 2026 | Reviewed to reflect the updated Policy for responsible use of AI released in December 2025

Statement text © Australian Securities and Investments Commission, reproduced for transparency tracking (most agency content is CC BY 4.0 — check the original for specifics).

Revision history

  1. updated -35
    View diff
    ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy "Australian Government's Policy for the responsible use of AI in government") (the policy). The policy provides mandatory requirements for government departments and agencies. This page provides details of ASIC’s implementation of those requirements. ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems. ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation. ## Why ASIC uses AI or is considering its adoption ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI. ## Classification of AI use according to usage patterns and domains ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk. As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification. The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency (DTA): The table below describes AI usage at ASIC. Usage pattern | Description \ ---|--- \ Analytics for insights | Identifies patterns, produces insights, and extracts information within structured and unstructured data \ Workplace productivity | Automates routine tasks, helps manage workflows and supports staff with administrative activities \ Decision making and administrative action | Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker \ Image processing | Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material The table below demonstrates ASIC domains where AI is used at ASIC. Domain | Description \ ---|--- \ Compliance and fraud detection | Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk \ Corporate and enabling | Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency \ Law enforcement, intelligence, and security | Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering \ Service delivery | Enhances efficiency of internal services ## Classification of use where the public may directly interact with, or be significantly impacted by AI or its outputs, without human review ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement. ## Measures to monitor the effectiveness of deployed AI systems and protect the public against negative impacts ASIC has governance structures and processes in place and is continuously developing these in alignment with whole-government initiatives. For example: ### ASIC’s AI policy Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the [Australian AI Ethics Principles](https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-principles/australias-ai-ethics-principles) and implements the [Australian Government’s Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy). ### AI assurance and risk management process We are participating in whole-of-government initiatives to develop an AI assurance process comprising of AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities. For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the [National framework for the assurance of AI in government](https://www.finance.gov.au/government/public-data/data-and-digital-ministers-meeting/national-framework-assurance-artificial-intelligence-government). ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken. ### AI board Our AI board is the primary governance body for AI which oversees the design, development, deployment and use of AI in ASIC. This includes approval of AI use cases and making recommendations for improvements, risk mitigation, and ongoing monitoring and compliance. ### Foundational technologies We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved: *- regular monitoring and evaluation of performance, *- adoption of robust security measures and access control, including monitoring for abnormal security activities, and *- implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable. ## Compliance with the requirements under the Policy for responsible use of AI in government ### AI accountable official and chief AI officer ASIC’s Senior Executive Leader, Data, Analytics and AI is the accountable official under the policy and the chief AI officer under the [APS AI Plan 2025](https://www.digital.gov.au/sites/default/files/documents/2025-11/APS%20AI%20Plan%202025.pdf). ### Strategic position on AI adoption ASIC is currently developing a Data, Digital and AI Strategy which will outline ASIC’s strategic position on AI adoption. ### Internal AI use case register and use case accountability ASIC maintains an internal register of AI use cases that captures the minimum required fields outlined in [the Standard for accountability](https://www.digital.gov.au/ai/ai-in-government-policy/accountability). Each use case has a designated accountable use case owner. ### Operationalising the responsible use of AI and AI impact assessment ASIC has established an AI policy, AI board and AI use case assessment that integrates all provisions of the DTA’s AI impact assessment tool. This includes assessment of AI use cases by ASIC’s AI board and reporting of any high-risk use cases to the DTA. ASIC also has existing risk incident management processes which includes AI incidents. ### Staff training on AI ASIC will be implementing the Australian Public Service Academy’s (APSC) AI in government fundamentals as a mandatory training for all ASIC staff. In addition, we implement role-based training programs and a series of organisation-wide AI training sessions. Data literacy is also a core capability within ASIC’s learning and development syllabus. ## Updates and more information This transparency statement was most recently updated on 27 February 2026. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months. If you have questions or seek more information about this AI transparency statement please submit an [online enquiry](https://asic.gov.au/about-asic/contact-us#online?get/landingPage/). Update publication date | Update comment \ ---|--- \ 28 February 2025 | Publication of first AI transparency statement \ 27 February 2026 | Reviewed to reflect the updated Policy for responsible use of AI released in December 2025
  2. updated +1232
    View diff
    ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy "Australian Government's Policy for the responsible use of AI in government") (the policy). The policy provides mandatory requirements for [accountable officials](https://www.digital.gov.au/policy/ai/accountable-officials "Accountable officials") of government departments and agencies, and their [](https://www.digital.gov.au/policy/ai/accountable-officials)[transparency statements](https://www.digital.gov.au/policy/ai/transparency-statements "Transparency statements"). This page provides details of ASIC’s implementation of those requirements. ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems. ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation. ## Why ASIC uses AI or is considering its adoption ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI. ## Classification of AI use according to usage patterns and domains ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk. As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification. The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency (DTA): The table below demonstratesdescribes AI usage and patterns at ASIC. **Usage pattern** | **Description** ---|--- Analytics for insights | Identifies patterns, produces insights, and extracts information within structured and unstructured data Workplace productivity | Automates routine tasks, and helps manage workflows and supports staff with administrative activities Decision making and administrative action | Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker Image processing | Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material The table below demonstrates ASIC domains where AI is used at ASIC. **Domain** | **Description** ---|--- Compliance and fraud detection | Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk Corporate and enabling | Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency Law enforcement, intelligence, and security | Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering Service delivery | Enhances efficiency of internal services ## Classification of use where the public may directly interact with, or be significantly impacted by AI or its outputs, without a human intermediary or interventionreview ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement. ## Measures to monitor the effectiveness of deployed AI systems, suchand asprotect governancethe orpublic processesagainst negative impacts ASIC currently has governance structures and processes in place and is continuously developing others.these Wein arealignment alsowith buildingwhole-government workforce capabilityinitiatives. For example: ### ASIC’s AI policy Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the [Australian AI Ethics Principles](https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-principles/australias-ai-ethics-principles) and implements the [Australian Government’s Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy). ### Our AI assurance frameworkand risk management process We are participating in whole-of-government initiatives to develop an AI assurance frameworkprocess comprising of AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities. For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the [National framework for the assurance of AI in government](https://www.finance.gov.au/government/public-data/data-and-digital-ministers-meeting/national-framework-assurance-artificial-intelligence-government). ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken. ### AI board AnOur AI board is the primary governance body for AI which oversees the design, development, deployment and use of AI byin ASIC. This includes approval of AI use cases and making recommendations for improvements, risk mitigation, and ongoing monitoring and compliance. ### Foundational technologies We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved: * regular monitoring and evaluation of performance, * adoption of robust security measures and access control, including monitoring for abnormal security activities, and * implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable. ## Compliance with the requirements under the Policy for responsible use of AI in government ### PeopleAI capabilitiesaccountable official and chief AI officer WeASIC’s areSenior implementingExecutive role-basedLeader, trainingData, programsAnalytics forand AI. Weis havethe alsoaccountable developedofficial aunder seriesthe ofpolicy organisation-wideand the chief AI trainingofficer sessionsunder tothe address[APS ourAI immediatePlan needs2025](https://www.digital.gov.au/sites/default/files/documents/2025-11/APS%20AI%20Plan%202025.pdf). ### DataStrategic literacyposition on AI adoption ASIC is alsocurrently developing a coreData, capabilityDigital withinand AI Strategy which will outline ASIC’s learningstrategic andposition developmenton syllabusAI adoption. ### EffortsInternal toAI identifyuse case register and protectuse thecase publicaccountability ASIC againstmaintains negativean impactsinternal register of AI For ouruse regulatorycases andthat enforcementcaptures activities,the ASICminimum usesrequired well-understoodfields systemsoutlined thatin have[the clearStandard andfor proven benefitsaccountability](https://www. Our riskdigital.gov.au/ai/ai-basedin-government-policy/accountability). approachEach isuse alignedcase tohas thea Australiandesignated Governmentaccountable AIuse Assurancecase Frameworkowner. AI### systemsOperationalising developedthe byresponsible ouruse dataof analyticsAI teams and procuredAI fromimpact externalassessment ASIC partnershas areestablished usedan withinAI ASIC.policy, TheseAI areboard describedand underAI theuse usagecase patternsassessment andthat domainsintegrates sectionall provisions of thisthe statement. ASICDTA’s dataAI andimpact assessment tool. This includes assessment of AI governanceuse practicescases includeby privacy,ASIC’s ethics,AI board and securityreporting assessments.of Inany allhigh-risk use cases ofto AIthe use,DTA. humanASIC reviewalso orhas oversightexisting isrisk involvedincident beforemanagement anyprocesses actionwhich isincludes takenAI incidents. ### AccountableStaff officialtraining on AI ASIC’s Seniorwill Executivebe Leader,implementing Data,the AnalyticsAustralian andPublic Service Academy’s (APSC) AI isin thegovernment accountablefundamentals officialas undera themandatory policytraining for all ASIC staff. **Update publicationIn date**addition, |we **Updateimplement comment** role---|--- 28based Februarytraining 2025programs |and Publicationa series of firstorganisation-wide AI transparencytraining statement sessions. Data literacy is also a core capability within ASIC’s learning and development syllabus. ## Updates and more information This transparency statement was createdmost recently updated on 2827 February 20252026. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months. If you have questions or seek more information about this AI transparency statement please submit an [online enquiry](https://asic.gov.au/about-asic/contact-us#online?get/landingPage/). Update publication date | Update comment ---|--- 28 February 2025 | Publication of first AI transparency statement 27 February 2026 | Reviewed to reflect the updated Policy for responsible use of AI released in December 2025
  3. updated -52
    View diff
    # Artificial intelligence transparency statement ASIC’s Artificial intelligence (AI) transparency statement is issued further to the Australian Government’s [Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy "Australian Government's Policy for the responsible use of AI in government") (the policy). The policy provides mandatory requirements for [accountable officials](https://www.digital.gov.au/policy/ai/accountable-officials "Accountable officials") of government departments and agencies, and their [](https://www.digital.gov.au/policy/ai/accountable-officials)[transparency statements](https://www.digital.gov.au/policy/ai/transparency-statements "Transparency statements"). This page provides details of ASIC’s implementation of those requirements. ASIC is Australia’s integrated corporate, financial services, consumer credit and markets regulator. ASIC’s work helps maintain the integrity of Australia’s financial system and protects consumers from harm. We do this by undertaking a range of regulatory activities that will be improved by developing and deploying AI systems. ASIC is committed to safe, responsible, and transparent use of AI and will comply with applicable laws and regulation. ## Why ASIC uses AI or is considering its adoption ASIC has an extensive remit, and AI can make us more effective and efficient. Given the rapid adoption of AI in financial services, our ability to regulate the use of AI in this sector will also be enhanced by gaining expertise in and experience with AI. ## Classification of AI use according to usage patterns and domains ASIC has adopted the definition of AI used in the policy. This definition is broad and potentially includes technologies and systems not commonly considered as AI. We manage AI systems by taking a risk-based approach. For example, we scrutinise more closely and apply tighter controls to AI systems that present the most risk. As a law-enforcement agency, there may be occasions when we do not disclose the use of AI in connection with surveillance and enforcement activity, and this transparency statement should be read subject to that qualification. The following tables describe how ASIC is currently using AI, as prescribed by the Digital Transformation Agency: The table below demonstrates AI usage and patterns at ASIC. **Usage pattern** | **Description** ---|--- Analytics for insights | Identifies patterns, produces insights, and extracts information within structured and unstructured data Workplace productivity | Automates routine tasks and helps manage workflows Decision making and administrative action | Supports decision making by guiding, assessing, or by making a recommendation to a human decision maker Image processing | Identifies patterns and objects within images (such as nudity) to prevent exposure of ASIC staff to inappropriate material The table below demonstrates ASIC domains where AI is used at ASIC. **Domain** | **Description** ---|--- Compliance and fraud detection | Supports identification and summarisation of patterns and anomalies in data to detect fraudulent activities and risk Corporate and enabling | Supports corporate functions by automating processes, optimising resource allocation, and improving operational efficiency Law enforcement, intelligence, and security | Supports enforcement and intelligence activities by analysing data from various sources, and by aiding in intelligence gathering Service delivery | Enhances efficiency of internal services ## Classification of use where the public may directly interact with, or be significantly impacted by AI, without a human intermediary or intervention ASIC does not use AI in any manner that allows direct interaction with the public or significantly impacts the public, without human oversight or involvement. ## Measures to monitor the effectiveness of deployed AI systems, such as governance or processes ASIC currently has governance structures in place and is developing others. We are also building workforce capability. For example: ### ASIC’s AI policy Our AI policy sets organisational responsibilities and considerations for developing, deploying, and using AI. Our AI policy is aligned with the principles underpinning the [Australian AI Ethics Principles](https://www.industry.gov.au/publications/australias-artificial-intelligence-ethics-principles/australias-ai-ethics-principles) and implements the [Australian Government’s Policy for the responsible use of AI in government](https://www.digital.gov.au/policy/ai/policy). ### Our AI assurance framework We are participating in whole-of-government initiatives to develop an AI assurance framework comprising AI controls, measurement and assessment, monitoring and reporting, roles and responsibilities. ### AI board An AI board oversees the design, development, deployment and use of AI by ASIC. ### Foundational technologies We are investigating and adopting fit-for purpose technology to support the use of AI. This has involved: * regular monitoring and evaluation of performance, * adoption of robust security measures and access control, including monitoring for abnormal security activities, and * implementation of explainable AI methods to ensure the AI systems are interpretable, explainable and understandable. ### People capabilities We are implementing role-based training programs for AI. We have also developed a series of organisation-wide AI training sessions to address our immediate needs. Data literacy is also a core capability within ASIC’s learning and development syllabus. ## Efforts to identify and protect the public against negative impacts of AI For our regulatory and enforcement activities, ASIC uses well-understood systems that have clear and proven benefits. Our risk-based approach is aligned to the Australian Government AI Assurance Framework. AI systems developed by our data analytics teams and procured from external partners are used within ASIC. These are described under the usage patterns and domains section of this statement. ASIC’s data and AI governance practices include privacy, ethics, and security assessments. In all cases of AI use, human review or oversight is involved before any action is taken. ## Accountable official ASIC’s Senior Executive Leader, Data, Analytics and AI is the accountable official under the policy. **Update publication date** | **Update comment** ---|--- 28 February 2025 | Publication of first AI transparency statement ## Updates and more information This transparency statement was created on 28 February 2025. It will be updated to reflect significant changes in our approach to AI, and at least every twelve months. If you have questions or seek more information about this AI transparency statement please submit an [online enquiry](https://asic.gov.au/about-asic/contact-us#online?get/landingPage/).
  4. first tracked +6967

    First tracked revision.