Cours · 5 chapitres

Adversarial AI

Defend and red-team your AI — prompt-injection foundations, defense-in-depth, attack taxonomy, automated jailbreak tooling, and context poisoning for production systems

Payantadvanced5 chapitresAnglais + 6 languesCertificat à la fin

Ce que tu sauras faire

  • An orientation across the four-chapter Adversarial AI skill path — defender → threat-surface → offense → program — covering everything from your first prompt-injection patch to running an internal red-team practice that survives 2026 attacks.
  • Why prompt injection exists, how attackers exploit it, and the layered defense every LLM-powered feature needs before shipping.
  • Map and defend the agent-era attack surface — RAG poisoning, document-borne payloads, memory poisoning, and tool-output hijacking that direct-injection defenses don't reach.
  • Attacker LRMs, BYO-attacker patterns, the DeepTeam / PyRIT / Mindgard trio, and the automated algorithms (PAIR, TAP, GCG) that turn red-teaming from a one-engineer pursuit into a continuous program.
  • Run a red-team program for production AI — taxonomy, the finding lifecycle, runtime monitoring, regression discipline, and the internal playbook.

Ce qu’il contient

  1. 1
    Adversarial AI: Start Here

    An orientation across the four-chapter Adversarial AI skill path — defender → threat-surface → offense → program — covering everything from your first prompt-injection patch to running an internal red-team practice that survives 2026 attacks.

  2. 2
    Prompt Injection Defense Foundations

    Why prompt injection exists, how attackers exploit it, and the layered defense every LLM-powered feature needs before shipping.

  3. 3
    Context Poisoning & Indirect Injection

    Map and defend the agent-era attack surface — RAG poisoning, document-borne payloads, memory poisoning, and tool-output hijacking that direct-injection defenses don't reach.

  4. 4
    Automated Jailbreak Tooling

    Attacker LRMs, BYO-attacker patterns, the DeepTeam / PyRIT / Mindgard trio, and the automated algorithms (PAIR, TAP, GCG) that turn red-teaming from a one-engineer pursuit into a continuous program.

  5. 5
    AI Red Teaming & Adversarial Evaluation

    Run a red-team program for production AI — taxonomy, the finding lifecycle, runtime monitoring, regression discipline, and the internal playbook.

Obtiens un certificat

Termine tous les chapitres pour recevoir ton certificat de réussite.