🛡️ SOLUTION: Privacy-preserving ML is critical
Deploy federated learning, differential privacy, and continuous monitoring for data extraction attacks.
Mirror Security's DiscoveR simulates privacy attacks to catch vulnerabilities before breaches occur.
#AISecurity101
🚨 AI Model Theft Reality Check: Attackers can recreate your proprietary models with 96% fidelity using just API access. That "secure" API isn't protecting your IP—it's a gateway for extraction attacks. Your years of R&D can be stolen through systematic querying. #AISecurity101
Key threats:
Data poisoning attacks
Model inversion attacks
Membership inference attacks
Common myth: "Anonymized data can't be reverse-engineered" ❌
#AISecurity101 #AIDataSecurity
@MirrorSecurity's "Security Of AI" platform addresses AI's unique "thinking" patterns with:
Homomorphic encryption
Hardware root of trust
Protection against data/model manipulation
Zero Trust AI implementation
Can your security tools detect AI-specific attacks? Share below! 👇
#AISecurity101
Grok is hallucinating, and also exposing the lies pertaining to its advanced reasoning or deep thinking capabilities.
#AISecurity101 you always test for NLI and entailment to ensure hallucinations and your models maintain groundedness. Good time for folks to learn the OWASP Top 10 for LLM apps
