Introducing Text IQ for Privacy, the First AI Solution to Meet the Challenges of Privacy 2.0

With the launch of Text IQ for Privacy, enterprises will be able to proactively manage personal and sensitive information hidden in large unstructured datasets, and elevate their privacy programs to meet the unprecedented demands of Privacy 2.0.

The global privacy landscape is in the midst of a tectonic shift. A new paradigm of privacy (dubbed Privacy 2.0) has emerged from the convergence of three major challenges: Rising customer expectations, new regulations such as the California Privacy Rights Act (CRPA), along with impending state and federal regulations, and the persistent threat of data breaches. These challenges are further compounded by the explosion of enterprise data, particularly unstructured data, over the last decade. 

Time for Data Privacy 2.0:  AI For Privacy Risk, Not Just Compliance Workflows

With data-centric models becoming central to how enterprises operate and compete, can they also hold themselves accountable for respecting these granular personal choices? 

Is some data more personal and private? Are there some personal details that we would prefer to share only selectively? The answer is clearly, yes.  With data-centric models becoming central to how enterprises operate and compete, can they also hold themselves accountable for respecting these granular personal choices? 

Democratizing AI for Custom Document Classification

Accurately identifying personal information (PI) and classifying documents in unstructured data at scale is hard. It’s been a challenge for most enterprises that use existing approaches to get it consistently right, even for common, general identifiers, such as Social Security numbers (SSNs).

Accurately identifying personal information (PI) and classifying documents in unstructured data at scale is hard. It’s been a challenge for most enterprises that use existing approaches to get it consistently right, even for common, general identifiers, such as Social Security numbers (SSNs). The challenge of automating identification is even more acute for types of PI that are less general, whether specific to an industry, or even a single company. 

Text IQ Series | Revisiting Automatic Redaction: An Introduction to Automatic Redaction with AI

Whether you’re personally going through the mountain of digital documentation or paying someone to do it for you, then you already know two key facts. First, this tedious process can take a long time. Second, there must be a better way. We’re happy to share the good news: we’ve built one.

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.  

Text IQ Series | Revisiting Automatic Redaction: HIPAA Redactions Can Be a Tough Pill to Swallow

Redacting PII and PHI to comply with HIPAA regulations during clinical trials has become a huge burden for Life Sciences companies. We spoke with Leeanne Mancari, a litigator at DLA Piper, on the pain points faced while representing clients in this sector and solutions to streamline the discovery process.

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. 

Launching auto-redaction

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.

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.
Request A Demo

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:

How To Integrate AI Into Your Cybersecurity Strategy

Developing a comprehensive cybersecurity strategy can be tricky since it is a multi-faceted endeavor that requires initial and regular assessments.

Data Breaches Explained

A data breach is the intentional or unintentional release of secure or private/confidential information to an untrusted environment.

Operationalizing Machine Learning for GDPR

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.