Finding Critical Junctures in the ‘Haystack’ of Unstructured Data

There is a lot to like and laud about human beings, but at the same time, nothing deserve that honor more than our ability to grow on a consistent basis. We say this because the stated ability has already fetched the world some huge milestones, with technology appearing as a rather unique member of the group. The reason why technology’s credentials are so anomalous is purposed around its skill-set, which was unprecedented to realize all the possibilities for us that we couldn’t have imagined otherwise. Nevertheless, a closer look should be able to reveal how the whole runner was also very much inspired by the way we applied those skills across a real world environment. The latter component was, in fact, what gave the creation a spectrum-wide presence and made it the ultimate centerpiece of every horizon. Now, having such a powerful tool run the show did expand our experience in many different directions, but even after reaching so far ahead, this prodigious concept called technology will somehow keep on delivering the right goods. The same has grown to become a lot more evident in recent times, and assuming one new GRC-themed development pans out just like we envision, it will only propel that trend towards greater heights over the near future and beyond.

HaystackID, a specialized eDiscovery services firm supporting law firms and corporate legal departments, has officially announced the launch of a new product called Protect Analytics AI™ Suite. Like the name suggests, the stated product basically compiles artificial intelligence (AI) enabled services to enhance the efficiency and effectiveness of identifying, analyzing, and reporting on sensitive information within large unstructured datasets. According to certain reports, Protect Analytics AI Suite comes decked up with company’s existing solutions in Protect Analytics AI – Sensitive Data Identification, Protect Analytics AI – Entity Extraction, and Protect Analytics AI – Deploy, to rethink cybersecurity-centric incident responses, breach investigations, and notification actions. This rethink, once realized, should instigate a reduction of time to precision insight, as well as time to action from weeks to just a few hours. Talk about the whole value proposition on a slightly deeper level, we begin from the role of Protect Analytics AI – Sensitive Data Identification, which leverages AI algorithms to detect and classify sensitive data across a vast range of document types and data sets. Next up, we must get into Protect Analytics AI – Entity Extraction, a solution that became available in Q1 of 2024 to help you in deploying generative AI techniques to detect, identify, suppress, or extract entities like signature blocks, names, places, organizations, and other relevant information from datasets. Such a function becomes all the more useful once you consider its use cases around compliance checks, due diligence, cyber incident response, and legal discovery. Then, we have Protect AI – Deploy, which is set to hit the deck in Q2 of 2024. Upon launching, the solution will make it possible for you to deploy Protect Analytics AI’s engine right within a customer’s infrastructure. This should do a whole lot to reduce data transfer times, while simultaneously handing the user greater control over data analysis process. Not just that, building upon its ability to embrace the client’s original workflow, the service will also install HaystackID’s analytics directly into a user environment, thus enhancing their data security and processing efficiency.

“Data complexity and security concerns are escalating with technological advancements, demanding more sophisticated cybersecurity tools and techniques,” said Michael Sarlo, Chief Innovation Officer and President of Global Investigations & Cyber Incident Response Services at HaystackID. “Addressing this challenge, HaystackID continues to enhance the Protect Analytics AI Suite, delivering powerful tools like Sensitive Data Identification and the soon-to-be-released Entity Extraction and Deploy services. These innovations ensure rapid, accurate analysis and bolster data protection. As the digital landscape becomes increasingly intricate, the necessity for advanced, AI-driven discovery and security solutions becomes even more critical.”

Given the capabilities that we covered, HaystackID’s new Protect Analytics AI Suite can easily conceive a wide assortment of cross-functional features, features that you can enable through a combination of custom development and multimodal integration with best-of-breed AI and large language model (LLM) tools. These key functions include, for instance, interactive visualizations. By working alongside tools like Microsoft Power BI, the suite will make a point to bring data visualizations that allow users to sort query, and analyze sensitive data swiftly. Almost like an extension to its knowhow in classifying sensitive data, the suite further proposes us a function in customizable risk categories. These categories, you see, instantly free up the space for us to prioritize data breach notifications as per their severity, and manage overall risk exposure. Hold on, we still have a couple of bits left to unpack, considering we still haven’t discussed the suite’s ability to generate sensitive data density scoring. Here, you can calculate a specific density score for important data present within documents and gain a better perspective on most critical areas of a dataset. Rounding the highlights is a possibility to containerize deployment of Protect Analytics AI Suite. The stated containerization can be done especially to avail the incentive of flexibility and scalability, factors which will make the suite fitting for various IT infrastructures and workflows.

“HaystackID’s commitment to technological advancement is exemplified through the latest updates to our Protect Analytics AI Suite, which now benefits from the capabilities of generative AI,” said John Brewer, Chief Artificial Intelligence Officer and Chief Data Scientist at HaystackID. “Our approach is one of balance—refining our suite with AI enhancements to complement and elevate the precise nature of eDiscovery and cybersecurity tasks. We’ve carefully calibrated the integration of AI to support and strengthen data analysis, ensuring our solutions remain innovative and in line with the practical realities of legal and compliance work.”

Founded in 2011, HaystackID has risen up the ranks by providing innovative cyber discovery services, enterprise solutions, and legal discovery offerings to leading law firms, corporate legal departments, and other organizations. The company has done so through a host of cutting-edge solutions like Global Advisory, Discovery Intelligence, HaystackID Core®, AI-enhanced Global Managed Review services powered by ReviewRight®, and more. HaystackID’s excellence in what it does can also be understood once you consider it has been repeatedly recognized as a trusted service provider by prestigious publishers such as Chambers, Gartner, IDC, and The National Law Journal etc. In case you still need some convincing, then it might be worth your while to know that the company has already collaborated with various heavyweights including Duke University, Roadrunner Transportation Systems, Ropes & Gray, Sullivan Stricker, Fox Rothschild, Allianz Global, FINRA, Staples, MIT, and the Harford Financial Services Group.


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