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Cyemptive Warns About the Limitation of Artificial Intelligence for Cyber Protection

By Enterprise Security Magazine | Tuesday, November 03, 2020

Cyemptive Technologies, Inc. has alerted entities to recognize the boundaries of depending entirely on detection based Artificial Intelligence (AI) for cyber protection.

FREMONT, CA: Cyemptive Technologies, Inc. is a provider of preemptive cybersecurity products and technology and winner of the Department of Homeland Security's national competition for the most advanced border security-related solution in the market. The company has alerted entities to recognize the boundaries of depending entirely on detection based Artificial Intelligence (AI) for cyber protection. It has also outlined the first dependable solution that can address these limitations and offer actual preemptive cyber-attack prevention.

Today, almost everyone is working remotely from home, and most of the offices are either empty or partially populated, which can dramatically increase the cyber-attacks. Furthermore, the FBI's Internet Crime Complaint Center has testified a 300% increase in the number of complaints that they have received per day in 2020, compared to the pre-COVID-19 reporting. Every situation occurs in an environment where an unprecedented significant rise in remote worker access happened rapidly and unexpectedly. As per Cyemptive, most organizations have serious cyber issues even while they are deploying AI and behavioral detection technologies.

"It is critically important for people and companies to be aware of the actual level of cyber protection being provided to them when assessing risk and associated mitigation activities to avoid being lulled into a false sense of security, only to be surprised and unprepared when their systems are breached and infected," said Rob Pike, CEO, and founder of Cyemptive. "You need to ask yourself: 'Do I believe my current level of cyber protection is truly keeping me secure?' "

According to Bryan Seely, Cyemptive's Senior Security Architect and well-known cybersecurity author and expert, "AI is designed to detect hackers after the infiltration has occurred by applying learnings gathered from analysis of elements of actual attacks built up over a period of time." "Artificial Intelligence or machine learning is a detection tool based on analyzing repeated attacks in large numbers and human intervention over several months to train the AI' brain' to recognize that a signature of a particular scenario is bad and needs to be addressed. Even though AI-based industry solutions have reduced detection time of known attack profiles, it does not prevent infiltration and by definition cannot quickly detect new, unknown zero-day attacks."

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