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What is garak?
Garak assesses the possible shortcomings of an LLM in various negative scenarios, focusing on issues such as hallucination, data leakage, prompt injection, misinformation, toxicity, jailbreaks, and other potential weaknesses. This tool, which is freely available, is built with a commitment to ongoing development, always striving to improve its features for enhanced application support. Functioning as a command-line utility, Garak is suitable for both Linux and OSX users and can be effortlessly downloaded from PyPI for immediate use. The pip version of Garak undergoes frequent updates to maintain its relevance, and it is advisable to install it within its own Conda environment due to specific dependencies. To commence a scan, users must specify the model that requires analysis; Garak will, by default, run all applicable probes on that model using the recommended vulnerability detectors for each type. As the scanning progresses, users will observe a progress bar for each probe loaded, and once completed, Garak will deliver a comprehensive report detailing the results from every probe across all detectors. This functionality makes Garak an essential tool not only for assessment but also as a crucial asset for researchers and developers who seek to improve the safety and dependability of LLMs in their projects. Additionally, Garak's user-friendly interface ensures that even those less experienced can navigate its features with ease, further broadening its accessibility and impact within the field.
What is SILCS?
Site-Identification by Ligand Competitive Saturation (SILCS) generates three-dimensional representations called FragMaps, which depict the interactions of various chemical functional groups with a designated target molecule. By uncovering the intricacies of molecular dynamics, SILCS provides essential tools that facilitate the refinement of ligand scaffolds, offering both qualitative and quantitative perspectives on binding sites, which ultimately aids in optimizing the drug design workflow. This methodology utilizes a selection of small molecule probes, each possessing a variety of functional groups, along with explicit solvent modeling and the flexibility of the target molecule to effectively map protein targets. Moreover, the technique empowers researchers to visualize beneficial interactions with the target macromolecule, allowing for a more informed design process. Armed with these insights, scientists can strategically engineer enhanced ligands with functional groups positioned for maximum efficacy. The pioneering approach of SILCS marks a noteworthy leap forward in the realm of medicinal chemistry, opening new avenues for drug discovery and development. Through its advanced analytical capabilities, SILCS not only enhances understanding but also drives innovation in therapeutic design.
Integrations Supported
Cohere
Conda
Hugging Face
OpenAI
Replicate
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
garak
Company Website
github.com/leondz/garak/
Company Facts
Organization Name
SilcsBio
Date Founded
2012
Company Location
United States
Company Website
silcsbio.com/software/
Categories and Features
Vulnerability Scanners
Asset Discovery
Black Box Scanning
Compliance Monitoring
Continuous Monitoring
Defect Tracking
Interactive Scanning
Logging and Reporting
Network Mapping
Perimeter Scanning
Risk Analysis
Threat Intelligence
Web Inspection
