AI Security Strategy for CISOs
Prompt injection, training-data poisoning, model theft, shadow AI, EU AI Act compliance — the fast-evolving AI security threat surface and how CISO Game models it.
AI security is the newest discipline in the CISO portfolio and the most rapidly-evolving. The threat surface includes adversarial prompt injection, training-data poisoning, model theft, shadow AI usage by employees, supply-chain attacks via third-party models, and regulatory exposure under the EU AI Act and emerging US frameworks. CISO Game gates the AI risks (R23–R28, R47–R52) behind the AI focus toggle — they only appear in the register when the company actually depends on AI, which mirrors how the discipline maps to business reality.
What's actually new about AI security
Three things genuinely don't fit existing security models. (1) Prompt injection — instructions embedded in user input or third-party content that the LLM follows as if from the operator. There's no clean prevention; defense-in-depth uses output filtering, scoped tool permissions, and human-in-the-loop for high-stakes actions. (2) Training-data poisoning — adversarial examples in the training set that surface as targeted misbehavior at inference. Mitigated by data-provenance tracking and red-teaming the trained model. (3) Shadow AI — employees pasting sensitive data into public LLMs. Mitigated by CASB/SWG with AI category filters and sanctioned internal alternatives.
What translates from existing security
Most AI security work is recognizable to a working CISO. Identity controls on AI agent tool use (who can the agent call?), data classification on training corpora, vulnerability scanning of model supply chains (model SBOM), continuous monitoring of model output (AI-SPM), and red-team testing of the deployed system. The novel layer is on top of, not instead of, the existing program. CISO Game's AI investments (AI Firewall, AI-SPM, AI Red Team, Model SBOM, AI Output Evaluations) all map to real categories that have emerged in the last 24 months.
Related risks in CISO Game's register
The risks that drive this topic, with their dominant mitigation levers and severity:
- R23 Prompt Injection / JailbreakingAI · severity 8
- R24 Training Data PoisoningAI · severity 9
- R25 Model Theft / IP ExfiltrationAI · severity 8
- R26 Hallucination → Misinformation LiabilityAI · severity 6
- R27 Shadow AI / Unsanctioned LLM UseAI · severity 7
- R28 AI Supply Chain CompromiseAI · severity 8
- R30 EU AI Act High-Risk Non-ConformityAI · severity 9
- R31 Autonomous AI Agent MisuseAI · severity 8
- R43 Insider AI MisuseAI · severity 7
- R47 AI Inventory GapAI · severity 7
- R48 Third-Party Model Procurement DD GapAI · severity 7
Investments that move this topic
Products, hires, and services in the catalog that primarily address ai security:
- AI Firewall (LLM I/O guardrails)AI Security
- AI Red Team engagement (annual)AI Security
- AI Output Evals + HITL workflowAI Security
- Model SBOM + ProvenanceAI Security
Scenarios that stress this topic
Game scenarios where ai security is the central program-shaping concern:
How to test your ai security strategy
Play CISO Game free to run a 5-year program where these decisions land in your inbox quarter by quarter. No signup required for the demo.