Campaign objective · CyberSecurity Month 2026
Increase awareness of AI-specific security risks.
Document LLM use cases, data flows, and abuse scenarios alongside traditional app threat models.
Campaign objective
2
Increase awareness of AI-specific security risks.
In practice
Document LLM use cases, data flows, and abuse scenarios alongside traditional app threat models.
Why it matters: AI risks are unfamiliar to many AppSec teams.
LLM + agentsFocus
GatewayControl
Program intent
Document LLM use cases, data flows, and abuse scenarios alongside traditional app threat models.
Why it matters: AI risks are unfamiliar to many AppSec teams.
How to measure
Track progress using: Focus (LLM + agents), Control (Gateway).
Rollout actions
- 1Add AI row to threat library
- 2Review top 3 copilots
- 3Schedule LLM red team
Add AI row to threat library · Review top 3 copilots · Schedule LLM red team
All campaign objectives
- 1. Build cybersecurity awareness across organizations and individuals.
- 2. Increase awareness of AI-specific security risks.
- 3. Promote practical AI Governance and Responsible AI.
- 4. Strengthen DFIR and incident-response readiness.
- 5. Connect cybersecurity with GRC, compliance, and risk management.
- 6. Promote Zero Trust and continuous security validation.
- 7. Improve awareness of ransomware and phishing.
- 8. Explain the practical implications of India's DPDP framework.
- 9. Encourage organizations to move from periodic assessment to continuous assurance.
- 10. Create a community-driven cybersecurity learning movement.