From Personally Identifiable Information (PII) to confidential memos and trade secrets, much of your enterprise data is sensitive and critical to the business. The pressure to comply with regulations like GDPR or CCPA and meet the auditors’ requests has made fast and accurate discovery of sensitive data more critical than ever.
With Sinequa’s intelligent enterprise search and automated document classification, large, data-intensive organizations can ensure all sensitive data is identified,tagged, and visible in an instant.
Learn how Intelligent Search is a crucial building block in the digital workplace connecting employees to the information they need to be empowered and successful in their roles. Covered topics: Governance as a facilitator; Privacy: a perceived barrier; Current compliance stances; Data silos and complexity; Maximizing value in the business…
Real-time insights, powered by relevant information, ensure your data protection policies, your security strategy, and access control are being followed.
Reduce your risk exposure by surfacing all sensitive data, and be in a position to quickly respond to auditors’, customers’, partners’, and employees’ potential requests
Enhance your data governance strategy by enabling employees to source, share and manage the latest data across different silos, departments, and lines of business with agility.
Before year-end 2023, more than 80% of companies worldwide will be facing at least one privacy-focused data protection regulation (Gartner).
By 2023, 65% of the world’s population will have its personal information covered under modern privacy regulations, up from 10% today.
Many organizations aren't able to provide precise and efficient answers to subject rights requests (SRRs) ending up costing an average of $1400 per request.
The features of the Sinequa platform work in concert to identify all sensitive content or data across a large range of data sources, formats, languages, and structures.
Most PII is buried within large, scattered, and unstructured volumes of data. Finding it is a slow and error-prone manual process. With Sinequa, advanced machine learning algorithms can be trained to recognize any form of PII (phone numbers, license plates, social security numbers) in accordance with internal policies and other regulations from around the globe to accelerate compliance.
Classification is key for effective governance and meeting regulatory requirements while also enhancing the findability of information. Sinequa’s AI technology makes increasingly sophisticated classification projects not only possible but cost effective.
Without accurate classification and tagging, it’s impossible for enterprises to know whether their content and data contains sensitive information. In the Sinequa platform, automated tagging leverages machine learning, which learns from manual tagging and continuously improves its ability to recognize and accurately tag sensitive data.
Sinequa serves both large and complex organizations with the most complete enterprise search, on the market. Customers employ Sinequa’s intelligent search platform to connect all content (both text and data), derive meaning, learn from user interactions, and present information in context. This solves content chaos and informs employees through a single, secure interface. They get the knowledge, expertise, and insights needed to make informed decisions and do more, faster. These organizations accelerate innovation, reduce rework, foster collaboration, ensure compliance, and increase productivity.
"Two mains challenges we looked to solve: being to find people, an expert in particular field and also to be able to search though research documentation and papers; To date we have indexed over 150 million document and Search applications goes beyond R&D Search. The value that we had from Sinequa’s Enterprise Search: we unlock the knowledge from this content across a range of Search Based Applications and Search Components."
Steve Sale, Technical Architect Search & Taxonomy
Webinar - View the webcast featuring Paige, Bartley Senior Research Analyst at 451 Research, Scott Parker, Director of Product Marketing at Sinequa and Adrien Gabeur, Director Cognitive Solutions at Sinequa
Whitepaper - With the EU’s General Data Protection Regulation (GDPR) now in effect, there is a new precedent for enterprise control over data of all kinds, both structured and unstructured in nature. Learn about the challenges of GDPR, cognitive search as a compliance accelerator and Use Cases Beyond Compliance.
Webinar - View the webcast featuring Adrien Gabeur, Director of AI Solutions at Sinequa and Scott Parker, Senior Product Marketing Manager at Sinequa.
