AI Security
Understand and defend against prompt injection, data poisoning, and LLM exploits.
0%
Confidence · no data yet
After this skill you can…
- Identify and patch prompt injection vulnerabilities
- Test LLM apps for data exfiltration risks
- Apply sandboxing and output validation
Prerequisites
Watch (10 videos)
Episode 9: Automating Single-Turn Attacks with PyRIT | AI Red Teaming 101
→ Automate single-turn attacks with PyRIT→ Configure datasets for AI security testing
Secure Agent Authorization with OAuth 2.0 | Amazon Bedrock AgentCore | Amazon Web Services
→ Secure AI agents using OAuth 2.0→ Configure AgentCore for authorization
Duet AI in Google Cloud - security
→ Identify vulnerabilities with Duet AI in Google Cloud→ Provide recommendations to address security risks
Mimecast fights AI-powered cyber threats using AWS innovation | Amazon Web Services
→ Develop cutting-edge security solutions using AWS→ Combat AI-powered email threats
Getting Control over Security and Observability Data | Amazon Web Services
→ Process security data with AWS Pipelines→ Implement observability in cloud environments
Hunting Malware with Velociraptor (YARA & Memory Forensics)
→ Hunt malware with Velociraptor→ Analyze memory with YARA
Secure Your AI Lifecycle with AI Protection in Security Command Center
→ Protect AI data→ Detect AI threats→ Respond to AI incidents
Cryptography for Beginners - Full Python Course (SHA-256, AES, RSA, Passwords)
→ Build a command-line cryptography tool→ Implement hashing and encryption algorithms→ Secure passwords and data
How to implement secure MCP patterns: Identity, authorization, and runtime protection
→ Implement secure MCP patterns→ Mitigate risks like token theft and data exfiltration
How we hacked YC Spring 2025 batch’s AI agents — Rene Brandel, Casco
→ Hack AI agents→ Mitigate security concerns→ Prevent data leakage
DeepCamp AI