Soteria Intelligence is excited to announce the company’s research and development focused on creating the next generation of social media threat intelligence solutions with the power to learn and become more effective over time.
Instead of taking an approach that looks at combinations of keywords, conversations on a map or other social media analytics that produce a high number of recurring false positives, Soteria Intelligence is implementing machine learning to use false positives, vetted by analysts, as educational tools that continually improve system accuracy.
The company is also training its system with proprietary data on past social media threats and, through the understanding of false positives and integration of historical data, combined with natural language processing, image recognition, sentiment analysis and other functionality, Soteria Intelligence is revolutionizing the way social media threats are identified and assessed.
“As someone who has spent the past 10 years guiding large organizations throughout the world on complex social media initiatives while using social media analytics tools along the way, I understand where they shine and fall short. I also see what’s needed to accurately identify threatening social media behavior on the horizon,” stated Aaron Schoenberger, Founder and CEO of Soteria Intelligence.
Soteria Intelligence’s objective is to provide social media threat assessment technologies with the ability to detect sarcasm, differentiate between “I had a bomb dinner after the movies” versus “I am going to bomb the movies after dinner,” and so much more. Recent advances in machine learning have enabled such strides.
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