NOVAM monitors and automatically mitigates threats to IoT devices and provides auditing & compliance investigation for enterprise.
STO/ICO Status
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Basics
Platform | Ethereum |
---|---|
Type | ERC20 |
Accepting | ETH, Fiat |
Circulating Supply | 30% |
KYC | N/A |
Restricted Areas | N/A |
Homepage | Website URL |
White Paper | View/Download |
Bonus
About
NOVAM was inspired by the human immune system to change the way we think about cyber security, in an agnostic, autonomous, self-detecting, self-healing approach. Our goal is to protect IoT devices in connected environments with connectivity, security, scalability and interoperability in mind.
Why do we need NOVAM?
Cybercrime is anything but new. And as it’s an increasingly fertile industry, today’s cybercriminals have become as seasoned, savvy and as professional as the businesses and organizations they attack – if not more so. This advanced level of cybercrime calls for a fresh perspective with greater interest in the multifaceted nature of security breaches, malicious cyber threats and attacks. Now more than ever, an out-of-the-box product, service or solution is needed. As the digital evolution forces us to rethink what we know about cybersecurity, and shifts in digital landscape continue to expose us to new threats, NOVAM protects businesses, organizations and people with a self-healing platform that’s designed to increase tolerance as needed.
What does NOVAM do?
NOVAM uses distributed ledger technology and AI to automatically monitor and mitigate IoT threats from the secure boot chain, operating system, mobile application and network. NOVAM also provides auditing & regulatory compliance integration to threat monitoring and detection services to ensure system events are included on an immutable distributed ledger. NOVAM is the first Artificial Intelligence driven cybersecurity program utilizing DLT to increase the accuracy of its health check. NOVAM not only finds anomalies but also fixes them to boost your tech-immunity system, and even removes threats without prior knowledge of existing danger. Using machine learning and probabilistic mathematics, we plan to offer a security system that is ever-alert, always present and device agnostic.