Assured Information Security (AIS) is pleased to announce that the U.S. Patent and Trademark Office has issued the company two new patents in October 2024, expanding AIS’s intellectual property (IP) and raising its portfolio to 24 issued patents with multiple currently pending.
“Expanding our patent portfolio is central to our mission of advancing cybersecurity solutions that can adapt to evolving threats,” said Michael Sieffert, Chief Engineer at AIS. “These new patents introduce breakthrough methods in malware prevention and data modeling. One patent enhances proactive malware defense by tracking process behavior, selectively presenting ‘canary files’ to suspicious processes and terminating them based on a malice scoring system. The second patent focuses on a novel approach to data modeling, enabling more precise feature selection through an iterative process that optimizes resource allocation. Together, these patents exemplify AIS’s commitment to building technologies that address complex cybersecurity challenges with efficiency and precision.”
Patent Details:
U.S. Patent Number: 12,124,568: PREVENTION AND REMEDIATION OF MALWARE BASED ON SELECTIVE PRESENTATION OF FILES TO PROCESSES
Malware prevention and remediation is provided by monitoring actions performed by processes and maintaining indications of which processes are trusted; selectively presenting canary files to these processes, which includes presenting the canary files to processes not indicated as being trusted and hiding the canary files from processes indicated as being trusted, and where the monitoring includes monitoring for access of canary files with change privileges; scoring each of the processes based on the actions performed, including any access of canary files with change privileges, which scoring produces a malice score for each process; and automatically terminating any process for which its malice score indicates at least a threshold level of malice in the execution of the process.
Invention is credited to AIS employees Sean LaPlante and Patrick McHarris.
Patent Details:
U.S. Patent Number: 12,131,230: FEATURE EQUIVALENCE AND DOCUMENT ABNORMALITY THRESHOLD DETERMINATION
A method includes, as part of establishing a feature merging threshold (α) for determining equivalence between two features, selecting a set of candidate α values, partitioning training data into a plurality of groups, establishing a model Wα for each α value of the set of candidate α values, iteratively performing: selecting a next group of training data of the plurality of groups of training data; adding the selected next group of training data to a training set; and for each α value in the set of candidate α values: training the Wα for the α value using the training set, and evaluating a size of Wα, the size comprising a number of features included in the model, and choosing the feature merging threshold α based on the iteratively performing.
Invention is credited to former AIS employees Daniel Scofield and Craig Miles.
To view the complete list of AIS patents, click here.
