CompTIA SecAI+ Domain 2.4 and 2.6 (Lets Study)

2.4 Given a scenario, implement data security controls for AI systems. ▪ Encryption requirements • In transit • At rest • In use ▪ Data safety • Data anonymization • Data classification labels • Data redaction • Data masking • Data minimization 2.5 Given a scenario, implement monitoring and auditing for AI systems. ▪ Prompt monitoring • Query • Response ▪ Log monitoring ▪ Log sanitization ▪ Log protection ▪ Response confidence level ▪ Rate monitoring ▪ AI cost monitoring • Prompts • Storage • Response • Processing ▪ Auditing for quality and compliance • Hallucinations • Accuracy • Bias and fairness • Access 2.6 Given a scenario, analyze the evidence of an attack and suggest compensating controls for AI systems. ▪ Attacks • Backdoor attacks • Trojan attacks • Prompt injection • Poisoning  Model poisoning  Data poisoning • Jailbreaking • Input manipulation • Introducing biases • Circumventing AI guardrails • Manipulating application integrations • Model inversion • Model theft • AI supply chain attacks • Transfer learning attacks • Model skewing • Output integrity attacks 🎙️ New to streaming or looking to level up? Check out StreamYard and get $10 discount! 😍 https://streamyard.com/pal/d/46326891...