Anomali announces expanded capabilities for Copilot

In today’s data-driven economy, the volume of information generated is immense, yet organizations often struggle to harness its full potential. The challenge lies in aggregating data and swiftly transforming it into actionable insights that drive informed decision-making. Anomali answers this challenge with a new release of its AI-Powered Copilot — expanding our offering from cybersecurity to address big data requirements for IT Operations and beyond. This new solution addresses the critical need for more efficient data processing and insights discovery.

From Analysts to Leaders: The Growing Need for Effective Data and Risk Analysis 

Organizations face dual challenges: detecting anomalous events swiftly and uncovering latent insights buried within petabytes of security and IT data. These tasks demand advanced analytic capabilities to process data with unprecedented speed and accuracy. The best-run organizations require visibility at the highest levels to allow operational leaders to manage security and their systems with the same level of attention as any other business risk. 

Taking Anomali Copilot from the CISO to the CIO

Anomali’s Copilot leverages AI and natural language processing (NLP) to empower every user — regardless of technical proficiency — to conduct complex data analysis. It has been a trailblazing solution tailored to address the complexities of cybersecurity. From threat detection, investigation, and response (TDIR) to full-stack next-gen security operations (SecOps), AI and Anomali’s Copilot are foundational to our suite of products and the value we have brought to our customers, long before AI was the buzz. With the newest release, Anomali Copilot can seamlessly ingest and interact with custom datasets, enabling rapid extraction of actionable insights. This extends a very successful AI-powered cybersecurity solution into adjacent use cases, including: 

Fraud Detection: This may include voter fraud (quickly and easily identify civilians that voted multiple times, identify votes that came in from the deceased, identify false registration votes, identify ineligible votes, etc.), identify unemployment fraud (currently costing anywhere from $130B to $135B over the past three years), Medicare fraud (people who are not qualified for coverage taking advantage of the system), and more — to name just a few from the (unfortunately) long list.  

Managing Supply Chain Risk: This category includes many use cases, such as identifying suppliers who are non-compliant with specific certifications and regulations. The bigger and more complex the supply chain, the more critical this requirement becomes.    

Employee/Personnel Data Analytics: Easy access to your employees’ data can mitigate risk to your business. For example, CIOs may need to quickly understand how many of their employees are in a war zone, their roles within the company, and the operational risks the organization might face if they were unavailable. The same data might also come in handy for proactively protecting a specific region of employees from the risks of a targeted cyber attack, along with their access to information.  

Augmenting Configuration Management Database (CMDB) Tools: CMDB tools keep an inventory of all devices and their configurations. However, operationalizing that data can be difficult, especially if there is a large volume of assets with limited support resources. Analyzing CMDB records can identify outdated software for updating, keep track of soon-to-be EOL machines for replacement, or create lists of assets that need patching due to potential exposure to trending vulnerabilities. Pinpointing these risks quickly and at scale (think petabytes of data in seconds) can significantly improve a company's security posture.  

Addressing Market Demands and Future Expansion

These new features underscore Anomali’s commitment to meeting the escalating demand for efficient, accurate data analysis tools. By enabling users to rapidly analyze massive datasets through customized and automated interactions, Anomali opens new avenues for innovation and operational excellence. This offering addresses current market needs while anticipating future demands, ensuring scalability and relevance in an evolving digital landscape.

Anomali’s AI-Powered Copilot represents a significant leap forward in data analytics. By integrating advanced AI capabilities with intuitive user interfaces, the tool empowers organizations to navigate complex data landscapes confidently, driving actionable insights and competitive advantage.

For more information on how Copilot can transform your organization’s data analytics capabilities, contact our team to schedule a personalized demonstration today.