FlowGuard

Elevator Pitch: FlowGuard revolutionizes network security with AI, turning the tide against the surge of sophisticated DDoS attacks. By harnessing the power of LLMs, FlowGuard offers unparalleled detection capabilities, protecting critical infrastructure and ensuring uninterrupted service. Secure your network with the future of cybersecurity.

Concept

Advanced DDoS detection and network security service using Large Language Models (LLMs)

Objective

To provide a cutting-edge security solution for detecting and mitigating DDoS attacks using the capabilities of Large Language Models.

Solution

Utilizing a DDoS detection model called DoLLM, which employs open-source LLMs to analyze network flows, reorganized as Flow-Sequences, to detect patterns indicative of DDoS attacks like Carpet Bombing.

Revenue Model

Subscription-based model where customers pay for ongoing protection, and tiered pricing based on the size of the network and the level of protection required.

Target Market

Internet Service Providers (ISPs), large enterprises, data centers, and governmental networks.

Expansion Plan

Initially target top ISPs in high-risk regions, then expand to secondary markets and develop additional cybersecurity products leveraging LLM technology.

Potential Challenges

High initial development costs, continuous need for model training and updates, and ensuring customer data privacy.

Customer Problem

Increasingly sophisticated and hard-to-detect DDoS attacks like Carpet Bombing threatening network infrastructures and causing significant service disruptions.

Regulatory and Ethical Issues

Compliance with international data protection laws (GDPR, HIPAA), and ensuring ethical use of AI without bias in data handling and privacy.

Disruptiveness

Revolutionizes DDoS detection by leveraging the contextual understanding of LLMs, significantly improving detection rates and response times compared to traditional methods.