Home » Text IQ Bests Top Providers at Identifying Critical Personal Data

Text IQ Bests Top Providers at Identifying Critical Personal Data

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[August 03, 2021]













Text IQ, a Top 100 AI company applying artificial intelligence (AI) to identify sensitive data, announced today that its solution for identifying personal information outperformed AWS, Microsoft and Google (News – Alert) in a real-life comparison of AI recall and precision.


As companies across the globe increasingly come under siege by bad actors and must constantly remain vigilant against data breaches, Text IQ’s AI has proven to be fundamentally superior at recognizing social security numbers, health records, account numbers and other sensitive data – all while requiring substantially less human review and expense.


The finding is significant because in the event of a data breach, which could easily encompass thousands or millions of documents, companies must both quickly and completely determine the type of personal information compromised. Using AI solutions with poor recall means missing too many instances of vital and relevant data. It also requires humans to spend countless hours checking for false positives.


“We’re thrilled that Text IQ’s AI solution for identifying personal information not only outperformed the top cloud providers, but did so in a real-life data breach scenario,” said Apoorv Agarwal, Text IQ CEO and co-founder. “Creating a system that searches great volumes of unstructured data sources while requiring a minimum of human review is a tough technical hurdle to overcome. But Text IQ’s talented staff of engineers succeeded in designing and building a solution demonstrably better than those offered by some of the world’s largest technology companies.”


As part of Text IQ’s continuous effort to improve AI solutions, the company compared its performance against some of the biggest players in the sector: AWS (Macie and Comprehend), Google (Cloud Data Loss Prevention) and Microsoft (News – Alert) Azure (Text Analytics). The real-life dataset, provided by a willing client eager to help support this type of research, included 12,287 documents that had undergone AI and human review and were known to include personal information. The evaluation measured the percentage of relevant documents returned from the search process by Text IQ’s Brain and the APIs from the three cloud providers.


The test results were evaluated by F-score, a measure of a model’s accuracy on a dataset that combines the precision and recall results. Text IQ, with an F-Score of 0.65, was 30% more effective in returning the relevant personal information than the next best solutions, Microsoft Azure and AWS Comprehend with F-Sores of 0.50 and 0.49 respectively. Text IQ was 50% better than AWS Macie (0.43) and 3x better than Google (0.14).




With respect to precision, Text IQ performed even better, delivering results that ranged from 55% to 83% better than the APIs from the three cloud providers. A higher precision score results in far fewer false positives that require human review to weed out.


“Text IQ’s results in finding PI in this large dataset were more accurate-by far-to the next best solution,” commented Richard Lutkus, partner at Seyfarth Shaw, the law firm that oversaw the test. “The quality of results resulted in a reduced need for human review and saved the client-and its insurer-six figures.”


The problem for many solutions on the market is that they solve for broad, generic cases – casting a wide net. Because these tools were built for general purposes, they over capture and the data quality they return is very imprecise. In contrast, Text IQ created a tool precisely to solve this kind of identification problem while reducing human input and costs.


Examples of personal information found by Text IQ but not discovered by the cloud provider solutions include a list of doctors, their dates of birth and DEA controlled substance prescribing license numbers; termination notices to employees that include social security numbers; COVID-19 lab test results with patient names and dates of birth; employee resumes with name and contact information; and lists of patients and their telephone numbers.


“People have a reasonable expectation that the companies they do business with will do everything they can to protect their privacy,” said Omar Haroun, Text IQ co-founder and COO. “Unfortunately, when a breach occurs, even companies with the best intentions don’t have the technology to do a fast and accurate search for sensitive information. With our demonstrably better approach, companies get a more accurate result, faster and at less cost.”


To read more about these findings and learn how Text IQ and Seyfarth Shaw partnered to successfully address this particular data breach, please read the case study at textiq.com/cs-when-accurate-id-of-pi-is-critical-text-iq-is-the-best.


ABOUT TEXT IQ

Text IQ is a Top 100 AI company trusted by some of the world’s largest enterprises and government agencies. With a re-imagined approach to identifying, managing and mitigating risk in enterprise data, Text IQ’s pioneering AI technology uncovers 90% of sensitive information at a 75% reduction in cost and time. Enterprises, law firms, and government organizations have used Text IQ’s AI to identify and protect sensitive and confidential information, reduce risk, elevate their privacy programs, and create fair and inclusive workplaces. Read more about Text IQ on TechCrunch, VentureBeat, Fortune, Forbes, and Axios.


Recently, Text IQ joined forces with Relativity, a unicorn and leading data platform, which has more than 300,000 users in over 49 countries and serves thousands of organizations globally-primarily in legal, financial services and government sectors, and 198 of the Am Law 200. By joining hands with Relativity, we are excited to realize our shared vision of helping customers organize their data, discover the truth, and act on it.






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