Nice, BRN and opportunities in Cybersecurity:Current Market...

Nice, BRN and opportunities in Cybersecurity:

Current Market Outlook

As the world adopts digitalization across increasingly more sectors,
markets, and everyday use cases, the damage generated from cybercrimes
is only going to increase unless robust solutions are developed to
take preemptive measures.
With loT having been deemed the most vulnerable to cyber attacks due to
the limitations of the underlying technology, many applications are
considered a huge security risk for feasible organizational use and smart
home appliances.



According to the World Economic Forum, approximately $5.2 trillion USD in global
revenue will be at risk across 2019 to 2023 due to cyberattacks, making cybersecurity
a large-scale concern for organizations, governments, and individuals alike.

Cybersecurity Solutions Development Challenges

The Machine Learning (ML) aspect of Artificial Intelligence (AI) has proven to provide the most value since it allows the detection of cyber threats and takes measures before a vulnerability is fully exploited. Although it currently provides a safety net it comes at a high cost from a financial and power-usage perspective and will only be a temporary solution since ML and AI can be developed for malicious purposes also.
Due to the necessity of high processing power, storage, and energy for AI solutions to be implemented, the current technology landscape heavily limits AI applications in the cybersecurity space.

BrainChip Technology applications in Cybersecurity

The Akida platform provides an optimal backbone for AI-enhanced cybersecurity ecosystems due to the high processing power and storage generated at low energy costs making it applicable in a wide variety of security applications. Our methodology revolves around deep behavioral analytics and real- time monitorization of the raw traffic stream generated by loT devices leading to a feasible implementation across multiple sectors and markets.

Eliminating human security
vulnerabilities

With the Akida Platform, cybersecurity systems can learn
and analyze each pattern of your behavior from typical Internet
activity to typing and scrolling speed. Any behavior which stands
out from your standard pattern will be flagged and
countermeasures will be deployed in real-time to ensure an optimal
reaction to ongoing cyberattacks.
For organizations, this would mean eliminating the human aspect
of security risk entirely as it would develop a behavior profile for
each employee and prevent any malicious intent.

Robust loT Cybersecurity solutions

The Akida Platform enables AI applications for cybersecurity systems, which can monitor network traffic streams for Wi-Fi dependent technology such as drones, robotics, and lot
Monitoring the raw traffic stream of loT devices identifies if there is an ongoing cyberattack since the data traffic would also have to be directed to the attacker to make device highjacking a possibility.