Prompt Injection: The Cybersecurity Problem Inside Your AI
Full awareness program — 12 sections below this dashboard. Use the table of contents or scroll.
Jump to program ↓Pillar: Secure AI — AI is creating a new attack surface—and traditional security controls cannot address every AI-specific risk.
Oct 12
Prompt injection is code injection
Prompt Injection: The Cybersecurity Problem Inside Your AI
Content format
Explainer
Day 12 of 31
Key metrics
Risk signals to address today
Indirect injection via RAG
Jailbreaks on production models
Data exfil via crafted prompts
Today's action path
Separate system vs user channels
Sanitize retrieved context
Monitor refusal bypass attempts
Untrusted content and user prompts can hijack system instructions—treat RAG documents, emails, and web pages as untrusted input to the model.
"Prompt injection is code injection" matters because indirect injection via rag can cascade into regulatory, financial, and trust impacts when left unowned. This day converts awareness into accountable action across leadership, SecOps, GRC, and all staff.
Awareness program
30 Days. 30 Risks. One Mission. CyberSecurity Month 2026 is a 30-day Cybersecurity & AI Security action campaign connecting governance, technology, resilience, and incident response — not awareness alone.
Week 2 — Secure AI: AI is creating a new attack surface—and traditional security controls cannot address every AI-specific risk. Today's theme "LLM Security" advances this pillar with format "Explainer".
CyberSecurity Month 2026 connects governance, technology, resilience, and incident response — you are on Day 12.
Oct 1–6
Understand the Threat
Oct 7–13
Secure AI
🧩 LLM Security
Oct 14–18
Govern & Protect Data
Oct 19–25
Detect, Investigate & Respond
Oct 26–31
Build Cyber Resilience
Untrusted content and user prompts can hijack system instructions—treat RAG documents, emails, and web pages as untrusted input to the model. In 2026, attackers exploit gaps between AI adoption, cloud sprawl, and governance lag. Today's focus "LLM Security" addresses: Indirect injection via RAG, Jailbreaks on production models, Data exfil via crafted prompts.
"Prompt injection is code injection" matters because indirect injection via rag can cascade into regulatory, financial, and trust impacts when left unowned. This day converts awareness into accountable action across leadership, SecOps, GRC, and all staff.
Increase awareness of AI-specific security risks.
Supports Day 12 (LLM Security) within pillar "Secure AI".
Explain the practical implications of India's DPDP framework.
Supports Day 12 (LLM Security) within pillar "Secure AI".
Promote practical AI Governance and Responsible AI.
Supports Day 12 (LLM Security) within pillar "Secure AI".
Encourage organizations to move from periodic assessment to continuous assurance.
Supports Day 12 (LLM Security) within pillar "Secure AI".
Understand
Untrusted content and user prompts can hijack system instructions—treat RAG documents, emails, and web pages as untrusted input to the model.
Prioritize
Focus risks: Indirect injection via RAG; Jailbreaks on production models; Data exfil via crafted prompts
Act
Separate system vs user channels → Sanitize retrieved context → Monitor refusal bypass attempts
Assure
FFAI provides dual-direction enforcement and explainable blocks for SOC review.
Communicate
Share progress via Explainer using message: Prompt Injection: The Cybersecurity Problem Inside Your AI
Executives should treat "LLM Security" as a material business conversation, not an IT update. Untrusted content and user prompts can hijack system instructions—treat RAG documents, emails, and web pages as untrusted input to the model.
SecOps and engineering own technical execution for LLM Security within pillar "Secure AI".
GRC and privacy teams map today’s theme to controls, evidence, and regulatory narratives (including DPDP where personal data is involved).
Every employee has a role in llm security—especially reporting suspicious activity and using only approved AI tools.
| Metric | Target | Rationale |
|---|---|---|
| Threat | Injection | Separate system vs user channels |
| Mitigation | LLM firewall | Sanitize retrieved context |
| Test | Red team | Monitor refusal bypass attempts |
Aware
Staff can explain "LLM Security" in plain language.
Aligned
Owners mapped across security, GRC, and business units.
Acting
Actions 3 scheduled with due dates.
Assuring
Results reflected in posture / validation dashboards.
Email subject
CyberSecurity Month 2026 · Day 12: LLM Security
Email body
Colleagues, Today’s theme is "LLM Security" (Oct 12). Untrusted content and user prompts can hijack system instructions—treat RAG documents, emails, and web pages as untrusted input to the model. Your actions today: 1. Separate system vs user channels 2. Sanitize retrieved context 3. Monitor refusal bypass attempts Open the full briefing: defenailabs.com/campaigns/cybersecurity-month-2026/day/12 — Security & GRC
LinkedIn / social
🧩 Day 12 — LLM Security Prompt Injection: The Cybersecurity Problem Inside Your AI #CyberSecurityMonth2026 #DefenAiLabs #LLMSecurity
Town hall slide
LLM Security: Prompt injection is code injection · Separate system vs user channels
FFAI provides dual-direction enforcement and explainable blocks for SOC review.
FFAI provides dual-direction enforcement and explainable blocks for SOC review.