The Artificial Intelligence powered cybersecurity startup CYR3CON has now secured an amount of $1.5 Million in the funding round of Seed by the New York-based scout ventures.
Many of the cyber attacks which includes the NotPetya speak with the help of larger enterprises in seconds, which leaves the security team scrambling. To fix this, CYR3CON combined with the information and Artificial Intelligence from the malicious hacking communities to predict the cyber attacks.
The company which is funded initially from the US government, CYR3CON has gained lots of recent traction with some of the Fortune 500 companies as well as the cybersecurity service providers. The starting traction led the company to seek some of the additional capital to continue the momentum.
“After gaining insights from a variety of CSO’s and end-users, we felt that we could bring the platform to a wider market,” said Co-Founder and former DARPA Fellow Paulo Shakarian, the firm’s CEO.
“At Scout, we look for seed-stage startups that use AI in creative ways. CYR3CON exemplifies this,” stated Scout Ventures partner Wes Blackwell, “their unique combination of AI with automatically extracted hacker conversations is shifting clients from a reactive to a proactive security posture.” Blackwell will also be joining CYR3CON’s board.
The oversubscribed round also includes some of the angel investors who are also advising the company to bring some of the significant cybersecurity experience. These include Michael Sutton (former CISO, Zscaler), Aleksandr Yampolskiy (CEO, SecurityScorecard), Steven Witt (former CEO, Onyara and Partner/Co-Founder of DataTribe), and Steve Hassell, (former CIO, Emerson). More recently, CYR3CON has joined the fall cohort of Dreamit Venture’s SecureTech accelerator – which is actively introducing CYR3CON into a variety of F500 companies and follow-on investors.
The startup which is led by the CEO, CYR3CON brings a patented hybrid of Dark web mining and AI to predict and prevent the future cyber attacks before they occur. The solutions scout the hacker communities and use the algorithms of machine learning to help in prioritizing the vulnerabilities which most of the hackers intend to use in an attack.
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