SAKSHAM
Saksham Aapka Surakshit Saathi
The problem SAKSHAM solves
Saksham is a cybersecurity service that blends high-end technology and empowered cooperation to tackle current digital security problems. For organizations, it offers AI-enabled firewalls, and a Collaborate & Share Threat Intelligence , analyze, and eliminate threats. In addition, a center for the exchange of threat intelligence enables organizations to build protection against emerging threats.
Saksham is a platform for creating awareness about cyber resilience by providing real-time insights into threats and tips for safe online practices. Rewarding them to enhance one's own role in that initiative while detection of threats is being made under conceptualized basis where a particular task could earn points as per token norms. AI integration, collaboration, and the transparent workings of blockchain help Saksham ensure that all forms of digital ecosystems- individual and enterprise- get created in a secure, scalable, and resilient form.
Challenges we ran into
Integrating an AI-based firewall into the Next.js TypeScript codebase is a crucial step toward enhancing cybersecurity, with next-generation firewalls (NGFWs) as a future approach. The AI firewall will leverage threat intelligence platforms to analyze attack patterns, identify malicious activities, and provide real-time protection. By integrating MongoDB, the system will store attack data, enabling adaptive learning and continuous improvement in security measures. Additionally, implementing Generative AI (GenAI) will create a personalized learning path for users and organizations, simplifying cybersecurity education and awareness. This AI-driven approach will not only secure networks but also empower individuals with knowledge about evolving threats, helping them respond proactively to cyber risks.
Tracks Applied (6)
Polygon Track
Polygon
Defending the Digital Frontier: Securing Modern Infrastructures
MongoDB
Major League Hacking
Midnight
Major League Hacking
Streamlit
Major League Hacking
GenAI
Major League Hacking
