Overview
Rethink the Way Data is Governed Across Your Organization
The means for enforcing data management policies have changed.
Reduce Reliance on Data Creators
Ensuring your workforce consistently follows data management policies has always been challenging. As the volume and variety of data created and consumed grows exponentially, the inconsistent, manual approach is untenable. Cloud computing, artificial intelligence and machine learning enable you to apply and enforce data governance policies consistently, and directly manage data risk across enterprise systems.
Shift from Application- to Data-Centric Management
Instead of relying on administrators and application access controls to manage data and access, implement a common framework and governance platform. The framework enables you to provide consistent data naming, structures, and standards. The data governance platform directly applies the framework to data from systems across your organization and enables your legal and compliance teams to manage risks while providing secure access to business teams.
Manage Data Based on its Value and Risk
The growth in data across enterprises is extraordinary. Driven by AI and analytics, organizations try to derive insight from all types of data. As data ages, its value decreases, while risk associated with a data breach, legacy systems, regulatory fines, and appearing in headlines for the wrong reasons increase. When the risk outweighs the value, it is time to retire data from the operational system to more cost-effective, secure platforms where it can be retained, managed for legal discovery, mined for its value, and disposed according to your policies.
Governance
Streamline Data Management, Discovery and Compliance Across your Organization’s Systems
With a single platform, manage the storage, privacy, security, retention, and disposition requirements of all your critical or sensitive data.
Know What Data to Manage
Automatically analyze, migrate, tier, and replicate data from operational systems to our governance platform, in accordance with your data management policies. This is possible without disrupting users or risking vendor lock-in. Data can be collected from all types of systems in real-time – communication, collaboration, file system, content management, and structured business applications, stored in its native format; and secured while ensuring accessibility based on user entitlements and business need (e.g., eDiscovery, analytics).
Trust and Control Your Data
Our unique, dedicated SaaS platform, which can be deployed in your own infrastructure, gives you greater control of your data’s storage and processing costs, storage location, ingestion and search performance, security protocols, encryption keys, and user entitlements than any other solution on the market. Policy-driven data governance ensures your data is managed consistently, efficiently, and cost-effectively to meet your organization’s legal, regulatory and business requirements.
Selectively and Securely Access
Archive360’s platform aggregates information from multiple sources across your organization following data mesh principles. This provides IT, legal, compliance, records managers, business analysts and users with self-service access to the platform based on your organization’s strictly controlled policies. Users gain access through our enterprise search capabilities that can scale to process petabytes of data and billions of records. Analytical capabilities enable data scientists and analysts to build analytical data models for data-driven decisions.
Archive360 Named a Leader in the first-ever
2025 Gartner® Magic Quadrant™
for Digital Communications Governance and Archiving Solutions
Architecture
Leverage an Architecture Built for the Future
Combine data from multiple domains to drive compliance, AI/ML models and analytical decisions.
Highly Scalable & Extensible Architecture
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Collect
Our expansive connector capabilities enable you to ingest data from systems across domains with the highest level of integrity and security. Archive360’s platform is uniquely designed to scale to process any type and volume of data so you can balance your schedule and costs. The platform is highly extensible and constantly updated as new critical sources of data emerge.
Manage
Our data management layer can perform extensive analysis and enrichment of incoming data including natural language processing (NLP), classification, metadata enrichment, text extraction from images, audio and video transcription, language translation, object, and entity extraction, and sentiment analysis. Our policy layer enables your compliance team to define and automatically enforce controls for retention, security, compliance, and privacy related obligations.
Access
Our enterprise search and query engine enable your workforce including legal teams, auditors, analysts, data scientists and end users to find and work with the data they need using the platform’s tools or its secure APIs for third-party applications, supporting many different use cases including eDiscovery, advanced data analysis, and low-code application access interfaces.
Compliance
Automate Regulatory, Legal, and Operational Data Compliance
Control data compliance across enterprise systems from a single interface.
Centralize data compliance oversight
Global organizations must adhere to a myriad of privacy, security, statutory, and regulatory requirements. Addressing each of these requirements in different systems or processes only leads to ineffective controls and unneeded costs. Archive360 provides a single platform to define, monitor and automatically ensure adherence to a wide range of data compliance requirements.
Control data production, retention, and consumption
Highly regulated organizations operating in a global environment face constant regulatory oversight, inquiries, examinations, and potential fines. From regulations with extensive record keeping requirements to data privacy that not only establish processing and security requirements but include the affirmative obligation to delete information, Archive360’s platform delivers broad capabilities to securely access information, while enforcing retention, usage, and disposition requirements.
Balance global and local requirements
Varied legislation regarding individual rights to how their data is managed and protected as well as where data lives has become a top concern for many global companies. Countries throughout Europe, Asia, the Middle East, as well as the U.S. are establishing statutes and regulations, requiring certain classes of information and workloads remain within their jurisdiction. Archive360’s platform was designed from day one to meet a diverse set of data compliance requirements no matter where customer-controlled cloud-environments must be deployed.
Security
Face Near Constant Cyber-Threats Head on
Security by design and default.
Greater control of infrastructure security
The Archive360 platform is purpose-built for hybrid environments, using the latest cloud security technologies and practices. Deployed in dedicated cloud tenants for each customer, you retain ultimate control of your tenant security. It enables you to deploy your preferred security applications for monitoring, vulnerability scanning, and logging, integrating directly with your SIEM. This gives you control not found in other cloud-service offerings and delivers more seamless integration into your security programs.
Greater control of
data access
In addition to role-based access control (RBAC), Archive360 provides attribute-based access control (ABAC), such as case status, project schedule, IP address, and SHA-256 level encryption at multiple levels (tenant, file, and specific file content – field, word, or phrase) to ensure the right people or applications have the right access to your data, under the right conditions. By moving sensitive operational data to our platform, you eliminate unnecessary privileged user access to file content. Even Archive360 administrators are restricted from accessing file content unless specifically entitled.
Greater control of data security
Secure, encrypted channels are used for data in transit, with full chain of custody to verify receipt and authenticity of ingested data. Archive360’s Security Gateway enables you to maintain encryption keys separate from your cloud tenant, and completely outside the control of Archive360. This provides high levels of data security, and assures you are involved in any third-party requests for your data. We also support data immutability, not only to meet regulatory requirements, but also to serve as a trusted source for secure data to mitigate the impact of ransomware threats.
Artificial Intelligence (AI) and Machine Learning (ML)
Mitigate Data Risks and Gain Operational Insights
Leverage the power of AI/ML to facilitate compliance and make better business decisions.
Tailor AI and ML to your specific needs
Archive360 brings a modern, flexible, and pragmatic approach to AI/ML. Instead of integrating a single AI or ML tool into the platform, you can deploy different AI and ML technologies and models to meet your requirements. For example, at ingestion you can leverage Microsoft Azure AI services to enrich and help classify your data sets and enforce policy requirements or run your own or a different vendor’s NLP and entity extraction routines to enrich metadata for downstream use.
Gain insights to build and train models
Our data management model enables you to use advanced tools to query our NoSQL database, and perform complex analysis related to data in the platform to help build and train your models. Your applications can also leverage our metadata or content indexes to apply ML models as part of a regulatory or legal investigation, providing targeted, in-place analysis or preservation of relevant content.
Protect against generative AI risks
Archive 360’s platform enables you to develop your own models, trained on your data, and executed within your controlled environment so you limit the privacy, IP, and security risks that your data can be incorporated into vendor models outside your organization’s control. You also retain total ownership of the model, the underlying data, and any new information generated as part of the process.
