9April 2021· Older data is not relevant due to outdated and not updated taggingBeware Half DaaS solutionsMany organizations (and vendors) will try to solve the sharing problem forcing use of a common platform. This solution is typically ineffective, as publishers are not motivated to adopt changes because changes add work and create new human error. DaaS does not place any new burdens on your current staff, because it enables sharing from what already exists and automates integration using neural networks and natural language processing, which minimizes burden on publishers.Technologies Technologies were intentionally left out of the article because technologies change but the why and how are constant. A good DaaS implementation should be able to use any technology stack ­ if someone tells you that DaaS is dependent on a specific tool, they don't understand the problem. Default to open when possible.Use Case: Ingestion CIOs need to ingest large, high volume streams of data. This includes structured, unstructured data, images, and PDFs. Cloud hosted open source data processing frameworks can ingest at a rate that was unachievable a few years ago. Using these frameworks and the knowledge of DaaS, we have been able to process up to 5000 records a second for one of our clients, storing them in the right application and adding information and knowledge to a live dashboard. This streaming ingestion architecture can easily scale to whatever the current needs dictate using horizontal cloud scaling models, and allows our clients to plug in any analytical algorithms they need, such as machine-learning for high throughput automated redaction.RedactionDaaS and cloud based ingestion allow us to implement redaction on the fly - adjusting who has access to what data based on both rule and role based redaction. By example, a report that has both secret and top secret information can be processed to show only secret and lower to the secret cleared role and the top secret and below to the top secret role, If a piece of content is ruled confidential on the fly it can be redacted and scrubbed from the system. Utilizing OCR we can redact images and pixel regions to remove classified or PII areas. Finally, DaaS and cloud based redaction allow us to apply machine learning methods that can identify additional information that is sensitive when combined, that a human may have missed. MTBrian Skapura
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