AI-ML Classifiers is a dynamic application designed to provide users with a great suite of tools to classify images and videos using Machine Learning models. Security is a top priority for AI-ML Classifiers, and we are committed to ensuring the confidentiality, integrity, and availability of user data.

Current Version: 2.1.2

• User Data: All user data is handled in accordance with privacy laws and regulations. Personal information is encrypted and stored securely.
• Cookies and Sessions: Sessions are managed securely. Cookies, if used, are encrypted and do not store sensitive information.

• HTTPS: AI-ML Classifiers enforces HTTPS to ensure secure communication over the internet, encrypting data in transit.

• Form Inputs: All inputs from forms are validated and sanitized to prevent SQL injection, XSS attacks, and other forms of data tampering.
• API Requests: Inputs via API requests are also validated and sanitized.

• OAuth2: For user authentication, AI-ML Classifiers implements OAuth2 protocol, ensuring secure authorization.
• Role-Based Access Control: Different levels of access are enforced depending on the user's role to prevent unauthorized access to sensitive data.

• Content Security Policy: The application implements Content Security Policy (CSP) headers to prevent XSS attacks.
• Output Encoding: Data output to the browser is encoded to prevent the execution of malicious scripts.

• CSRF Tokens: Forms include unique CSRF tokens to ensure that the requests are legitimate and originating from the application itself.

• Rate Limiting: To prevent abuse and potential DDoS attacks, API rate limiting is in place.
• API Key Protection: API keys, if used, are kept confidential and not exposed to the client-side.

• File Type Restrictions: Only specific file types are allowed for upload to prevent the execution of malicious scripts.
• File Scanning: Uploaded files are scanned for malware.

• Error Handling: Proper error handling is implemented to prevent leakage of sensitive information through error messages.
• Logging: System activities are logged for monitoring and auditing purposes. Logs do not contain sensitive user data.

• Regular Updates: Dependencies and libraries are regularly updated to their latest secure versions to mitigate known vulnerabilities.
• Vulnerability Scanning: Regular scans are conducted to identify and address potential vulnerabilities in third-party libraries.

• Server Security: Servers are hardened, and access is restricted to authorized personnel only.
• Firewalls and Intrusion Detection Systems: Firewalls and IDS are in place to detect and prevent unauthorized access.

AI-ML Classifiers has an incident response plan to quickly address and mitigate any security incidents. This includes:

• Immediate identification and isolation of the incident.
• Analysis and investigation of the breach.
• Prompt resolution and recovery measures.
• Communication with affected users and stakeholders.
• Post-incident analysis and implementation of preventive measures.

We encourage responsible disclosure of any security vulnerabilities. Please report any security concerns or vulnerabilities to us at [email protected]. We are committed to working with security researchers and the community to resolve issues efficiently and responsibly.

Security is an ongoing process. AI-ML Classifiers App is committed to continuously improving the security posture of the application by staying up-to-date with the latest security trends, threats, and mitigation techniques.

For any queries or concerns regarding security, please contact us at [email protected].