Model Cyber Protection (MCP) has become essential as attackers increasingly target AI/ML systems. In 2025, organizations rely heavily on machine learning pipelines — making AI models a new attack surface.
What is Model Cyber Protection (MCP)?
MCP refers to tools and methods that secure machine learning models from:
- Training data poisoning
- Model theft & inversion attacks
- Prompt injection into LLMs
- Adversarial input manipulation
- Unauthorized model extraction
Top MCP Tools for 2025
1. ProtectAI
Provides complete pipeline monitoring, LLM prompt protection, and detection of malicious model access.
2. HiddenLayer
Industry leader in AI threat detection, anomaly detection, and adversarial defense.
3. Microsoft Presidio
Open-source library for PII anonymization and protection in training datasets.
4. Google Vertex AI Security
Includes scanning for model drift, data corruption, and endpoint security for deployed models.
5. IBM Watson AI Guardrails
Provides bias detection, integrity checks, and AI model access control for enterprises.
Choosing the Right MCP Tool
- Does it protect training pipelines?
- Does it secure LLM prompts?
- Does it detect model exfiltration?
- Supports ISO 42001 standards?
Conclusion
AI-driven attacks will continue to grow. Using MCP tools ensures your models remain secure, accurate, and tamper-proof.
Admin
Cybersecurity Researcher & Industry Analyst