Most large enterprises have well-formulated data breach response plans that are the clear-headed output of cross-functional teams across, privacy, data security, compliance and IT. However, when teams look to put these plans into action, panic often ensues. Exacerbating the panic is that data breach assessment is typically slow and difficult to perform accurately - especially with high data volumes. But there is a better way.
On November 3rd, California voted to ratify Prop 24 ballot initiative that expands and extends the regulations originally set down in the California Consumer Privacy Act (CCPA), which has been in effect since the start of this year. The amended legislation now known as the California Privacy Rights Act further extends what was the first state data privacy law in the US.
Generally regarded as a necessary evil, redactions plague industries such as legal, life sciences, and financial services with countless hours and costs associated with the tedious, mundane work of omitting privileged, protected, and personal information from documents. In this installment of Revisiting Automatic Redaction, we take a closer look at the necessity of it and how AI can help automate this arduous process.
Protected Health Information, often referred to as PHI, is any personal information contained in a patient’s medical record and obtained during the course of medical treatment that, if disclosed, could reveal the identity of the patient. For many years healthcare providers and insurance companies freely exchanged and disclosed PHI. Unfortunately, this exchange of information often resulted in people losing or being denied health insurance due to newly onset or pre-existing conditions. However, that all changed in 1996 when Congress enacted the Health Insurance Portability and Accountability Act (HIPAA); and what originally started as a way to hold insurance companies accountable has morphed and expanded into so much more over the last couple of decades.
Life Sciences companies - and their legal representation - feel the burden of redacting sensitive information such as PII and PHI to comply with HIPAA regulations during clinical trials, adverse report filings, litigation, and more. We spoke with Leeanne Mancari, Litigator and Co-Chair of eDiscovery and Information Management Platform at DLA Piper, on the pain points she faces while representing clients in the Life Sciences sector and potential solutions to streamline the discovery process.
Holy ███ ! Text IQ Launches Auto-Redaction!
We applied our AI to auto-redaction to revolutionize the very manual, time-consuming, and risky process. You've got to see it to believe it! Check out what all the excitement is about by scheduling your demo now.
As the new working environment and privacy landscape continues to evolve, we’re here to help you adapt to it. Our Auto-Redaction product provides auto-identification and redaction of sensitive data (e.g. PI, PHI, confidential, or privileged information) at scale to align with the ever-escalating regulatory requirements.
Here’s a quick glance at how it works:
Developing a comprehensive cybersecurity strategy can be tricky since it is a multi-faceted endeavor that requires initial and regular assessments.
A data breach is the intentional or unintentional release of secure or private/confidential information to an untrusted environment.
With its General Data Protection Regulation, Europe is calling on United States companies to rethink some of their core business models and data processes. And as organizations contend with life after GDPR, many of them are finding that the only thing they need to change about their data strategy is... everything.