Self-Sovereign Identity for more Freedom and Privacy - ESelfKey
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Will AI Turn Malicious?! Protect Yourself Now!

The subject of artificial intelligence (AI) has been at the top of most discussions since the beginning of this year due to its immense and ever-growing potential. But the more opportunities AI offers, the more bad players aim to use it to exploit vulnerabilities in online security systems. How will you protect yourself against malicious […]
10 6 月 2023
SelfKey
AI looking at the screen. A robot.

The launch date of ESelfKey iD is getting closer! 

If you haven’t already, make sure you sign up to get the good news directly to your email!

Dear ESelfKey Astronauts, 

As the power of artificial intelligence (AI) continues to advance, cybercriminals are increasingly eager to exploit its potential. Each day, new and alarming techniques for hacking, breaching, and cybercrime emerge, posing a significant threat to the security of our valuable and sensitive personal data.

The widespread adoption of AI and machine learning in 2023 has made it mainstream, but it also brings risks. Large language model-based AI systems (LLMs) can generate realistic human-like text and code, making them attractive tools for cybercriminals to create advanced malware. 

This poses a challenge for cybersecurity as this malware can evade security measures and cause more damage. The availability of LLM technology may democratize cybercrime, attracting both experienced criminals and newcomers to experiment with cyber attacks.

LLMs also assist in crafting convincing phishing emails by eliminating errors that usually raise suspicion. Moreover, AI systems can generate fake voices to deceive voice identification systems or scam individuals. 

However, AI can be used to combat cybercrime by analyzing vast amounts of data and continuously learning to identify and counter threats. 

In this regard, ESelfKey is utilizing the potential of AI when developing decentralized solutions, with the purpose of enhancing digital security. As recovering from data breaches can be a long, tedious and nightmarish experience, prevention is an absolute must. 

Therefore, ESelfKey proposes the following: 

ESelfKey iD - a novel method of digital identity verification which uses AI-Powered Proof of Individuality with the aim of preventing unlawful access to private accounts and systems by malicious bots or identity thieves. 

ESelfKey iD also utilizes proof of individuality (POI) staking as a method of enhancing digital security. By practicing recurrent selfie checks, it aims to make sure that the individual attempting to access an account is the true and authentic owner of said account.

Through this, ESelfKey is striving to contribute to a more secure, decentralized digital future, by aiming to reduce the risk of data breaches and identity theft.

To stay ahead in this ever-evolving landscape, it is essential to maintain a constant race against emerging threats, harnessing the potential of new technologies to both counter cybercrime and defend against it. 

⚡Visit ESelfKey DAO Whitepaper to learn more about decentralized systems and ESelfKey’s proposed decentralized solutions.

Featured article:

Tokenization - Could it Protect Your Digital Identity?

With the fast-paced evolution of modern technology, it’s crucial that we become familiar with the innovative concepts that will shape our digital future. 

For this purpose, ESelfKey aims to provide a comprehensive guide on tokenization, its benefits, its challenges, and how it may enhance digital privacy and security.

​Read more

In case you missed it:

Web3: Incredible Advantages and Unexpected Risks

The internet has revolutionized society in every field, facilitating work, communication and learning like the world has never seen before. And now, its horizon seems to expand even further.

As we step into an incredibly immersive and innovative version of the World Wide Web, we have to make sure that we are familiar with two important concepts: Advantages and Risks.

Read more

Crypto News

Could watches and fitness trackers spot disease and pandemic threats?

Researchers at the University of South Australia are testing wearable technology that uses consumer-grade devices like smartwatches to detect early signs of infection. By measuring changes in sleep, skin temperature, breathing, and heart rate, they aim to train an artificial intelligence algorithm to identify when someone is getting sick. 

The researchers hope to use AI algorithms to detect early signs of immune responses and enable individuals to make informed decisions about their health and social interactions. The technology could potentially lead to a future where outbreaks are better managed and targeted quarantine measures reduce the need for lockdowns.

Read more

Quote of the week

"There is no harm in repeating a good thing." - Plato

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Note:

We believe the information is correct as of the date stated, but we cannot guarantee its accuracy or completeness. We reserve the right not to update or modify it in the future. Please verify all information independently.

This communication is for informational purposes only. It is not legal or investment advice or service. We do not intend to offer, solicit, or recommend investment advisory services or buy, sell, or hold digital assets. We do not solicit or offer to buy or sell any financial instrument.

This document may contain statements regarding future events based on current expectations. However, some risks and uncertainties could cause results to differ. The views expressed here were based on the information that may change if new information becomes available.

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