On Privacy-aware Information Lifecycle Management (ILM) in Enterprises: Setting the Context Marco Casassa Mont Hewlett-Packard Labs Bristol, UK

Presentation Outline  Background & Privacy Concepts  What is Information Lifecycle Management (ILM)?  What is Identity Management (IDM)?  Current Privacy Management in Enterprises  Moving Towards Privacy-Aware ILM in Enterprises  Conclusions

Presentation Outline  Background & Privacy Concepts  What is Information Lifecycle Management (ILM)?  What is Identity Management (IDM)?  Current Privacy Management in Enterprises  Moving Towards Privacy-Aware ILM in Enterprises  Conclusions

PRIVACY Regulations (incomplete list …) Regulatory Compliance (Example of Process) Privacy: An Important Aspect of Regulatory Compliance for Enterprises

Privacy Policies Limited Retention Limited Disclosure Limited Use Limited Collection Consent Purpose Specification Privacy Rights Privacy Permissions Privacy Obligations Privacy Policies for Personal Data: Core Principles

Identity Management Solutions Information Lifecycle Management Solutions Enterprise Identity Information/ Confidential Data Management of Data/Confidential Data in Enterprises Others (ad-hoc, etc.) Systemic Approaches …

Presentation Outline  Background & Privacy Concepts  What is Information Lifecycle Management (ILM)?  What is Identity Management (IDM)?  Current Privacy Management in Enterprises  Moving Towards Privacy-Aware ILM in Enterprises  Conclusions

Information Lifecycle Management (ILM) Information Lifecycle Management (ILM) is a comprehensive Approach to Manage Information Systems’ Data and associated “Metadata” from Creation and Initial Storage to the time when it becomes Obsolete and is Deleted:  Deal with User Practices  Automate Storage Procedures  Information Retrieval Information Lifecycle Management Automates:  Process of Organising Data into Separate Tiers  Data Migration between Tiers based on Policies

Information Lifecycle Management (ILM) Information Lifecycle Management (ILM) provides degrees of support for the following Information/Data Management Phases: Assessment Data Analysis Classification Automation Review

Information Lifecycle Management (ILM) Information Lifecycle Management (ILM) Automation Technologies: ILM Policy Engine Search and Classify ILM Policy Audit Information/ Document Mover Secure Access Source: “Data Protection and Information Lifecycle Management Ed. Prentice Hall, Author: Petrocelli”

Information Lifecycle Management (ILM) Current Privacy Management Capabilities:  Little or No Explicit Management of Privacy Policies  Limited Privacy Capabilities, such as Data Retention/Deletion and Access Control  No Advanced Support for Privacy Obligations  Proprietary/Ad-hoc Solutions  Lack of Integration/Interoperability with Other Solutions

Presentation Outline  Background & Privacy Concepts  What is Information Lifecycle Management (ILM)?  What is Identity Management (IDM)?  Current Privacy Management in Enterprises  Moving Towards Privacy-Aware ILM in Enterprises  Conclusions

Identity Management (IDM) Enterprise Identity Management Solutions deal with the Management of Digital Identities, User Accounts and User Profiles. Provide services to Applications. Support core Functionalities:  Authentication, Authorization, Audit  User Provisioning and Account Management  Data Storage  Links to Legacy Systems and Data Consolidation

Identity Management (IDM) State-of-the-Art of Identity Management Solutions: Privacy Mgmt Directories Meta- Directories Virtual Directories Data Repository Components Authentication Authorization Auditing Security Components Provisioning Longevity Lifecycle Components Single Sign-On Personalization Consumable Value Components Self Service Management Components Fed. Mgmt User Mgmt Access Control Databases

Identity Management (IDM) Current Privacy Management Capabilities:  Limited Management of Privacy Policies  Focus Mainly on Privacy-Aware Access Control  No Real Support for Privacy Obligations  Proprietary/Ad-hoc Solutions  Lack of Integration/Interoperability with Other Solutions

Presentation Outline  Background & Privacy Concepts  What is Information Lifecycle Management (ILM)?  What is Identity Management (IDM)?  Current Privacy Management in Enterprises  Moving Towards Privacy-Aware ILM in Enterprises  Conclusions

Personal Data Applications & Services PEOPLE ENTERPRISE Privacy Legislation (EU Laws, HIPAA, COPPA,SOX, GLB, Safe Harbour, …) Customers’ Expectations Internal Guidelines Regulatory Compliance Customers’ Satisfaction Positive Impact on Reputation, Brand, Customer Retention Enterprise Privacy Management Impact on Enterprises and Opportunities Regulations, Standards, Best Practices Enterprise IT Infrastructure IT Alignment Policy Enforcement Policy Development Transparenc y Monitoring Reporting Effective Enterprise Privacy depends on Good Governance Practices

Data Governance in Enterprises  Personal Data and Digital Identities  Handled with “Identity Management” Solutions (IDM) …  Subject to Privacy Policies  (Sensitive) Documents and Other Data  Handled with “Information Lifecycle Management” Processes and Solutions (ILM) and Other Approaches …  Might Contain Personal Data …  If so, Subject to Privacy Policies

Current IDM and ILM Solutions Exists a Dichotomy between:  “Identity Management” Solutions (IDM) …  “Information Lifecycle Management” Processes and Solutions (ILM)… Various Reasons:  Different Nature of Managed Information  Different Business Requirements  Different Information Usage Patterns Identity Management (IDM) Identity Management (IDM) Information Lifecycle Management (ILM) Information Lifecycle Management (ILM)

IDM and ILM: Common Aspects … Current Dichotomy Doesn’t Help To Manage Privacy  Both handle Confidential Data  Both need to Address Privacy Management  No Integrated Management of Privacy Policies  Duplication of Efforts  Privacy still based on Human Processes:  Prone to Mistakes and High Costs

Requires Well-Planned, Systemic and Ongoing Efforts:  Privacy Policies and Preferences can Change over time  Data and Confidential Documents can be subject to different Privacy Laws  Data needs to be Disposed or Transformed over time Enterprise Privacy Management [1/2]

Enterprise Privacy Management [2/2] Privacy-aware Access Control  Most of Privacy Solutions (+ R&D Work) currently focusing here Privacy Obligation Management  No “Privacy-aware” Solutions are really available …  Obligations dictate Duties and Expectations …  Obligations are Transversals to ILM and IDM:  Impact on Information Lifecycle Management (Retention, Deletion, Notifications, Transformation, etc.)  Impact on Identity Information/ Identity Management  Under-emphasised Area … Privacy Rights Privacy Permissions Privacy Obligations Privacy Rights Privacy Permissions Privacy Obligations

Identity Management Solutions Information Lifecycle Management Solutions Enterprise Identity Information/ Confidential Data Privacy Obligations Focus on Privacy-aware Information Lifecycle Management

Open Issues Issues to be Addressed to enable Privacy-Aware Information Lifecycle Management: Lack of Automation  Lack of Automation  Human-based Processes  High Cost, Prone to Mistakes Lack of Integration (e.g. ILM and IDM)  Lack of Integration (e.g. ILM and IDM)  Duplication of Efforts  Lack of Centralization

Presentation Outline  Background & Privacy Concepts  Current Privacy Management in Enterprises  What is Information Lifecycle Management (ILM)?  What is Identity Management (IDM)?  Moving Towards Privacy-Aware ILM in Enterprises  Conclusions

Privacy-aware Information Lifecycle Management “Privacy-Aware Information Lifecycle Management is the Process of Ensuring that the Lifecycle of Personal and Confidential Data (inclusive of any Confidential Document) is Managed according to stated Privacy Policies, Users’ Preferences and Enterprise Privacy Guidelines”

Privacy-aware Information Lifecycle Management  Requirements, Core Properties and Features  HP Labs Current R&D Work in this Area  Next Steps

Requirements [1/2] Dictated by Privacy Laws, Best Practices, Common Sense:  Enterprise should clearly state the Purposes for collecting personal/confidential data and Processing Criteria  Openness and Transparency over Enterprise Processes  People should:  Be enabled to express their Privacy Preferences (e.g. Deletion)  Be Notified of changes affecting the management of their personal data  Retain a degree of Control on their data  Lifecycle of Data driven by all these Aspects

Requirements [2/2]  Enforcement and Compliance Checking of Privacy Obligations Importance of Automating the Handling Privacy Obligations to Enable Privacy-Aware Information Lifecycle Management Importance of doing this across ILM and IDM Solutions

Privacy-aware Information Lifecycle Management Solutions Expected Core Properties and Functionalities:  Explicit Modelling of Personal/Confidential Data  Explicit Representation of Privacy Policies ( e.g. Obligations )  Integrated Management of these Policies ( e.g. Security Policies )  Deployment and Enforcement of these Policies:  Leveraging IDM and ILM Infrastructures  Integrated Monitoring and Checking for Compliance

Privacy-aware ILM: Our Approach HP Labs R&D Work on Privacy Obligation Management Usage of an Obligation Management System (OMS) as Foundation of Privacy-aware ILM, across ILM and IDM Solutions

Obligation Management System Obligations Scheduling Obligations Enforcement Obligations Monitoring Personal Data (PII) Data Subjects Administrators ENTERPRISE Obligation Management System (OMS): Model Privacy Obligations Privacy Preferences

OMS to Enable Privacy-aware ILM [1/3] Obligation Management System (OMS):  Centralised Modelling and Abstraction of Managed Data  Centralised Representation and Authoring of Privacy Obligations  Orchestrates the Deployment, Enforcement and Monitoring of Obligations within Existing ILM and IDM Systems

OMS to Enable Privacy-aware ILM [2/3] Obligation Management System Obligation Management System ILM Systems IDM Systems Other … Data RepositoriesDoc. Repositories Other Storage … Enterprise Information Policy Control Policy Control Policy Control Privacy Preferences Privacy Policies & Models

Identity Management Solution (IDM) Identity Management Solution (IDM) Information Lifecycle Management Solution (ILM) Information Lifecycle Management Solution (ILM) Obligation Management System (OMS) Data Abstraction and Modelling Obligation Policy Representation & Lifecycle Mgmt Obligation Deployment & Enforcement Obligation Monitoring Users Data + Privacy Preferences Adaptors Administrators Obligation Policies Models ENTERPRISE Deploy Policies & Enforce Monitor & Compliance Check OMS to Enable Privacy-aware ILM [3/3]

Current Status and Next Steps OMS System: HP Labs Proof of Concept  Integrated with IDM Solution  Exploring its Integration with ILM Solution Need to Further Explore some Security Implications First Step Towards Privacy-aware ILM  Current Objective: Create Awareness of Privacy-aware ILM Work in Progress …

Presentation Outline  Background & Privacy Concepts  Current Privacy Management in Enterprises  What is Information Lifecycle Management (ILM)?  What is Identity Management (IDM)?  Moving Towards Privacy-Aware ILM in Enterprises  Conclusions

Conclusions  Importance of Privacy Management for Enterprises  Obligation Management is Key to Privacy-aware Information Lifecycle Management  Current Obligation Management: underestimated, ad-hoc, …  Need to Centralise Obligation Policies for their Enforcement/Monitoring & Integrate with current ILM and IDM Solutions  Importance of Creating Awareness of Need for a Comprehensive, Enterprise-wide Privacy-aware Information Lifecycle Management  HP Labs: Work in Progress …