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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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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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 |
Dimensions summary
This listing offers one pricing dimension: a single-user license for the FOR563 course on applied AI for digital forensics and incident response. You buy per user, so pricing scales by the number of individual licenses you need. There are no tiers, instance sizes, or usage add-ons to choose from. Each license covers one person's access to the course, which delivers instructor-led and self-paced training with hands-on labs. To purchase for a group, you add more single-user units.
Top-of-mind questions for buyers
Each license covers one person's access to the FOR563 course. It spans one day of instructor-led training, roughly six hours of self-paced content, and four hands-on labs. The license applies to one named individual and cannot be shared across multiple people.
Cost scales linearly with the number of people. You add one single-user unit per additional person, since each license covers one individual. There are no volume tiers or usage add-ons built into this dimension. Every person you enroll needs a separate unit.
The course is offered in instructor-led and self-paced formats. Instructor-led sessions run live, online or in person. Self-paced study lets you work through recorded content and labs on your own schedule. The single-user license covers one person's access regardless of format.
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