Automated Forensics Orchestrator for Amazon EC2 is a self-service AWS Solution implementation that enterprise customers can deploy to quickly set up and configure an automated orchestration workflow that enables their Security Operations Centre (SOC) to capture and examine data from EC2 instances and attached volumes as evidence for forensic analysis, in the event of a potential security breach. It will orchestrate the forensics process from the point at which a threat is first detected, enable isolation of the affected EC2 instances and data volumes, capture memory and disk images to secure storage, and trigger automated actions or tools for investigation and analysis of such artefacts. All the while, the solution will notify and report on its progress, status, and findings. It will enable SOC to continuously discover and analyze patterns of fraudulent activities across multi-account and multi-region environments. The solution will leverage native AWS services and be underpinned by a highly available, resilient, and serverless architecture, security, and operational monitoring features. Digital forensics is a 4 step process of triaging, acquisition, analysis and reporting. Automated Forensics framework provides capability to enterprise to act on security event by imaging or acquisition of breached resource for examination and generate forensic report about the security breach. In the event of a security breach, it will enable customers to easily to capture and examine required targeted data for forsensic’s storage and analysis. This solution framework enables security operations centre to discover and analyse patterns of fraudulent activities. The automated forensics solution will provide a multi-account and a multi-region [“solution”] built using native AWS services.
bios6
commented
3 days ago
Is your feature request related to a problem? Please describe. LIme is no longer actively maintained.
Describe the feature you'd like The main project for memory extraction in linux is no longer actively maintained. Consider an alternative
Additional context Here is a list of potential candidates: https://github.com/digitalisx/awesome-memory-forensics https://github.com/504ensicsLabs/LiME?tab=readme-ov-file#project-archived