Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • ZeroPath Reviews & Ratings
    2 Ratings
    Company Website
  • Astra Pentest Reviews & Ratings
    246 Ratings
    Company Website
  • Aikido Security Reviews & Ratings
    226 Ratings
    Company Website
  • Wiz Reviews & Ratings
    1,446 Ratings
    Company Website
  • Criminal IP ASM Reviews & Ratings
    18 Ratings
    Company Website
  • Orca Security Reviews & Ratings
    531 Ratings
    Company Website
  • Athena Security Reviews & Ratings
    5 Ratings
    Company Website
  • Synap Reviews & Ratings
    32 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • Perplexity Computer Reviews & Ratings
    26 Ratings
    Company Website

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 Simaril?

Silmaril represents a groundbreaking defense strategy against prompt injection, designed to autonomously repair itself in order to protect AI systems from complex, layered threats that traditional defenses often fail to address. Unlike standard techniques that simply filter out harmful inputs, it envelops inference requests, rigorously analyzing whether the series of actions could lead to adverse outcomes. Utilizing a multihead classifier, Silmaril assesses user motivations, application contexts, and execution states in parallel, enabling it to detect indirect injections, prolonged attack patterns, context alterations, and tool misuse before they can inflict damage. To bolster its protective features, Silmaril employs autonomous threat-hunting agents that navigate through systems, uncover vulnerabilities, and generate synthetic training data from real attack scenarios. This intelligence not only aids in automatic model retraining, allowing for the implementation of upgraded defenses in under an hour, but also ensures the distribution of anonymized protective strategies across all operational instances. Furthermore, this forward-thinking methodology guarantees that the system can maintain its resilience against new threats, continuously adapting to the shifting challenges in the cybersecurity landscape. By consistently evolving, Silmaril ultimately fortifies the security framework surrounding AI technology.

Media

Media

Integrations Supported

OpenAI
Agent Development Kit (ADK)
Claude
Claude Code
Cohere
Conda
CrewAI
Hugging Face
LangChain
OpenClaw
Python
Replicate
TypeScript
Vercel

Integrations Supported

OpenAI
Agent Development Kit (ADK)
Claude
Claude Code
Cohere
Conda
CrewAI
Hugging Face
LangChain
OpenClaw
Python
Replicate
TypeScript
Vercel

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

Simaril

Company Location

United States

Company Website

www.silmaril.dev/

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

Categories and Features

Popular Alternatives

Popular Alternatives

Operant Reviews & Ratings

Operant

Operant AI
Vega Reviews & Ratings

Vega

Subgraph
SAGE Reviews & Ratings

SAGE

HolistiCyber