AI Engineer Portal
Your personal operating system for career transition.
AI Safety and Guardrails
Build defense-in-depth for production AI systems. Covers prompt injection defense, content filtering, PII protection, red teaming, and governance frameworks.
The AI safety landscape for application engineers
Why safety is your responsibility, threat taxonomy, and the defense-in-depth principle for production AI systems.
The AI safety landscape for application engineers
Why safety is your responsibility, threat taxonomy, and the defense-in-depth principle for production AI systems.
Prompt injection defense
Direct and indirect injection attacks, detection strategies including instruction hierarchy and canary tokens, and a multi-layer PromptGuard implementation.
Content filtering and output validation
Input sanitization, output validation for toxicity and PII, NeMo Guardrails overview, and a pluggable OutputValidator implementation.
PII detection and data protection
Regex-based and NER-based PII detection, redaction strategies, and a PIIProtector pipeline with GDPR/CCPA awareness.
Red teaming AI applications
What red teaming means for AI, systematic test suites for jailbreak and adversarial inputs, and a RedTeamHarness that uses LLMs to red team LLMs.
Governance and monitoring for production AI
Audit logging design, human-in-the-loop approval gates, safety metric monitoring, and a GovernanceLayer implementation.