Solutions

Community-Driven Security Powered by Web3

By harnessing the power of online communities, we can crowd source threat intelligence in a secure and anonymous manner through blockchain technology, thus creating a safer internet for all. Interlock is dedicated to providing users with enterprise-grade security and incentivizing them to share security data with the Interlock Network. With blockchain, we can bring together individuals and enterprises to collaborate on threat intelligence and utilize the data they generate to create a more comprehensive threat intelligence dataset. This type of collaboration was not possible before Web3 due to the lack of incentive and coordination.

AI Threat Detection + Crowdsourced Threat Intel = Better Security

Interlock's browser security extension, fueled by the native utility token $ILOCK, protects users from online threats like phishing, scams, and bad downloads. AI-based threat detection enables the extension to detect novel scams and never-before-seen phishing sites, crucial in protecting people, especially in the crypto and Web3 space. Interlock's future blockchain-based version adds a human element to improve security, where users can inform Interlock about potentially dangerous sites and get rewarded with $ILOCK. This incentivized security approach creates a stronger network, product, and safer internet for everyone. AI and human interaction together create smarter security products, preventing zero-day attacks and improving the overall security of the internet.

The Technology: AI Threat Detection Powers Our Products

AI Threat Detection allows our products to detect novel scams and never-before-seen phishing sites, which is crucial in protecting people from scam sites, especially in the crypto and Web3 space. As new products come into the market, so do new phishing sites that try to drain wallets or steal funds. With our AI, instead of simply blocking known blacklisted sites, it will also allow for the blocking of new ones. The prevention of zero-day attacks is crucial in battling newly-introduced scams. The system is trained on a dataset of known good and known bad websites and uses this training data to make predictions about new websites it encounters. It uses feature selection to identify key characteristics of a website that may indicate if it is malicious or not. Additionally, it also uses information from various sources, such as safe browsing lists, to make its predictions and protect users from new, unseen malicious websites. ThreatSlayer, our advanced browser security extension, has been trained on extensive datasets of known crypto scams, phishing links, dangerous URLs, malware, and more to ensure a robust line of defense against cyber threats. As part of our commitment to transparency and fostering community-driven improvements, ThreatSlayer's code is open-source. You can access and contribute to our codebase on GitHub, which encourages collaboration and continuous enhancement of our cybersecurity solution.