Safety Detectives: Please share your company background, how you got started, and your mission.
Sovereign Intelligence: I started Sovereign Intelligence in 2014 to help people make better decisions. As an attorney and former clandestine intelligence officer with NCIS, I knew the value of intelligence collection and was shocked to learn how poorly decisions were made based on biased assumptions, siloed data sets, and overall poor collection.
SD: What is the main service your company offers?
SI: Aurora is a revolutionary SaaS platform focused on exploring and answering questions via an intuitively driven artificial intelligence and a game-like user experience.
Aurora is designed to bring an enhanced level of confidence surrounding the discovery of answers for two reasons: (1) our proprietary ability to know where to look among the vast libraries of data across the internet, and (2) our model-free organic learning and contextual gravity approach to mitigate bias and observe otherwise indecipherable data patterns.
SD: What is something unique that helps you stay ahead of your competition?
SI: Sovereign’s edge consists of data analytics breakthroughs such as contextual gravity, a disruptive user interface, automated crawlers, and other techniques related to social engineering, access to prohibitive libraries of unique data, a patentable system architecture of the highest encryption capacity, and the application of a revolutionary intuitive artificial intelligence method called organic learning, making Aurora a sense-making machine with an inexhaustible capacity to learn.
SD: What do you think are the worst cyberthreats today?
SI: Most “cybersecurity providers” act like mercenaries, scaring and then chasing clients for exorbitant fees with services that attempt to patch or fix vulnerabilities after the hack or interruption in service has occurred.
We prefer to frame the problem with cybersecurity, not in reference to the “threat” or bad actor, but in terms of whether the right thinking is being accomplished to proactively prevent disruption of service, etc. This is done with aggressive intelligence collection well beyond the network parameter. We are not a CVE repair shop. Aurora would help you go after the way bad actors think by observing their language patterns then intuitively assessing actuarial risk so that decision-makers can confidently and proactively prevent attacks.