Automated Cybersecurity Compliance and Threat Response Using AI, Blockchain & Smart Contracts

TL;DR

This paper introduces an integrated AI, blockchain, and smart contract framework for automating cybersecurity compliance and threat response, aiming to improve efficiency, reduce manual effort, and ensure transparent enforcement of security policies.

Contribution

The paper presents a novel, scalable system combining AI, blockchain, and smart contracts to automate security policy enforcement and threat response in organizations.

Findings

Improved compliance enforcement rates in simulations

Reduced response times compared to traditional methods

Enhanced transparency and auditability of security actions

Abstract

To address the challenges of internal security policy compliance and dynamic threat response in organizations, we present a novel framework that integrates artificial intelligence (AI), blockchain, and smart contracts. We propose a system that automates the enforcement of security policies, reducing manual effort and potential human error. Utilizing AI, we can analyse cyber threat intelligence rapidly, identify non-compliances and automatically adjust cyber defence mechanisms. Blockchain technology provides an immutable ledger for transparent logging of compliance actions, while smart contracts ensure uniform application of security measures. The framework's effectiveness is demonstrated through simulations, showing improvements in compliance enforcement rates and response times compared to traditional methods. Ultimately, our approach provides for a scalable solution for managing complex security policies, reducing costs and enhancing the efficiency while achieving compliance. Finally, we discuss practical implications and propose future research directions to further refine the system and address implementation challenges.