Sold by: SANS Institute
Deployed on AWS
Harness local Large Language Models for DFIR investigations without exposing sensitive data to third-party services. Learn to deploy self-hosted AI, build custom forensic agents, and analyze logs and artifacts using natural language queries.
Overview
Harness local Large Language Models for DFIR investigations without compromising sensitive forensic data. This one-day hands-on course teaches deployment of self-hosted AI while maintaining complete data control.
Organizations increasingly explore AI for investigative workflows but cannot risk exposing forensic data to third-party services. FOR563 bridges that gap by operationalizing LLMs in fully self-hosted environments.
Master four critical capabilities through technical labs:
- Configure and deploy local LLMs via GUI and programmatic methods
- Build custom AI agents for forensic and incident response use cases
- Analyze structured data - logs, text messages, databases - using natural language
- Fine-tune LLMs for specialized DFIR tasks using custom datasets
Examine practical challenges of using LLMs in DFIR: context limitations, model fine-tuning, and output verification. Apply concepts to logs, forensic artifacts, databases, and files containing proprietary or undocumented formats.
While emphasizing private implementations, all techniques extend to API-based or cloud-hosted LLMs when appropriate. Accelerate investigations, automate repetitive analysis, and tailor AI tools to specific forensic needs - all without external data exposure.
6 CPE credits across 1 intensive day.
Highlights
- Deploy private AI for investigations: Configure local LLMs, build custom DFIR agents, query forensic data with natural language, and fine-tune models for specialized tasks.
- 4 hands-on labs: GPU-enabled environment setup, local model deployment, structured data analysis, and custom agent development for forensic workflows.
- Built for DFIR professionals who need AI capabilities without exposing sensitive case data to external services. 1 day, 6 CPEs.
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Dimension | Description | Cost/12 months |
|---|---|---|
FOR563 - Single User | Single user license for AI - FOR563: Applied AI for DFIR: Leveraging Local LLMs | $995.00 |
Vendor refund policy
Refunds available within 30 days if course not accessed.
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