ZySec-AI
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venkycs commited on Jan 28, 2024

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 <!-- Provide a quick summary of what the model is/does. -->
-## Model Details
 ### Model Description
-<!-- Provide a longer summary of what this model is. -->
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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-## Uses
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-### Direct Use
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-## Bias, Risks, and Limitations
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-### Recommendations
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-## How to Get Started with the Model
-Use the code below to get started with the model.
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-## Training Details
-### Training Data
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-### Training Procedure
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-#### Training Hyperparameters
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-## Evaluation
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-#### Testing Data
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-#### Factors
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-### Results
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-#### Summary
-## Model Examination [optional]
-<!-- Relevant interpretability work for the model goes here -->
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-## Environmental Impact
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-## Technical Specifications [optional]
-### Model Architecture and Objective
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 <!-- Provide a quick summary of what the model is/does. -->
 ### Model Description
+# ZySec-v1-7B: A New Era in AI-Driven Cybersecurity
+## Overview
+ZySec-v1-7B stands as a pivotal innovation for security professionals, harnessing the advanced capabilities of HuggingFace's Zephyr language model series. This AI model is designed as an omnipresent cybersecurity ally, offering on-demand, expert guidance on cybersecurity issues. ZySec-7B is like a digital teammate, adept at navigating the complexities of security challenges.
+## Key Features
+- **Comprehensive Training:** ZySec-7B is developed using the DPO technique and covers numerous cybersecurity fields, providing a deep and wide-ranging understanding of the sector.
+- **Diverse Topics:** Encompassing areas such as sophisticated threats, compliance and regulatory frameworks, practical cybersecurity applications, and strategic fields.
+- **Extensive Data Coverage:** Trained in over 30 unique domains, each with thousands of data points, ZySec-7B offers unparalleled expertise.
+## Training Domains
+ZySec-7B's training spans critical topics including:
+- Advanced subjects like Attack Surface Threats, Cloud Security, and the Cyber Kill Chain.
+- Compliance and regulatory frameworks: CIS Controls, FedRAMP, PCI DSS, and ISO/IEC 27001.
+- Operational aspects: Cloud Secure Migration, Data Exfiltration Techniques, and Security Incident Handling.
+- Strategic areas: Security Governance, Risk Management, and Security Architecture Review.
+## Dataset Distribution
+The dataset is rich and diverse, with records in domains like:
+- Attack Surface Threats: 3148
+- CIS Controls: 3842
+- Cloud Secure Migration: 3510
+- [See the full dataset distribution here](https://huggingface.co/aihub-app/ZySec-7B-v1/resolve/main/ZySec-7B-dataset-composition.png?download=true)
+## Integration and Usage
+ZySec-7B is open-source and AI-driven, redefining how security is approached within organizations. Its integration capabilities include:
+- Full compatibility with [LM Studio](https://lmstudio.ai). Search for "Zysec" to see its potential.
+- Sample output of ZySec writing an email about database security can be viewed [here](https://huggingface.co/aihub-app/ZySec-7B-v1/resolve/main/sample-output.png?download=true).
+## Community and Contributions
+As an open-source project, ZySec-7B invites community contributions, enhancing its adaptability and transparency. It's not just a software; it's a community-enhanced strategic tool, empowering teams to stay ahead of evolving cyber threats and compliance requirements.
+## Stay Informed and Contribute
+Join us in shaping the future of AI-driven cybersecurity. For more information, updates, and contribution guidelines, visit our repository or contact our team.