CyberSE.AI is a daily AI security intelligence and advisory platform for SMBs and AI startups deploying LLMs, AI agents, model APIs, and AI-enabled workflows.

What risks does CyberSE.AI cover?

CyberSE.AI covers prompt injection, indirect prompt injection, AI agent abuse, data leakage, model and supply-chain risk, AI governance, and OWASP-relevant LLM and API security risks.

AI Governance Policy Generator

1. Organization Profile

Organization Name

Primary Industry

Company Size

Policy Owner

2. Approved AI Use Cases

Employee productivity and research Software development assistance Customer support workflows Security analysis and alert triage Sales and marketing content drafting Autonomous agent workflows Fine-tuning or RAG systems Customer-facing AI features

3. Approved Models and Vendors

OpenAI GPT models Anthropic Claude models Google Gemini models AWS Bedrock hosted models Azure OpenAI deployments Local/open-source models

Vendor Review Requirement

Model Inventory Cadence

4. Data Handling and Retention

Public information Internal business data Customer PII PHI or health data Payment or financial data Source code and proprietary IP Security logs and incident data Training or fine-tuning datasets

Client Telemetry Ingestion Rules

Retention Period for AI Inputs/Outputs

Fine-Tuning Policy

Sensitive Data Controls

5. Agent and Tool Controls

Email or messaging tools Ticketing systems CRM or customer systems Databases or analytics stores Cloud infrastructure APIs Code repositories and CI/CD Payment, billing, or financial systems No autonomous tools currently approved

Autonomous Agent Permissions Gate

Identity and Access Control

Prompt Injection Testing

Agent Memory Policy

6. Compliance, Monitoring, and Incident Response

SOC 2 HIPAA PCI DSS GDPR / CCPA ISO 27001 EU AI Act NIST AI RMF OWASP LLM and Agentic AI guidance

AI Activity Logging

AI Incident Escalation SLA

Policy Review Cadence

AI Risk Approver

7. Prohibited Uses and Exceptions

Secrets, credentials, API keys, or private certificates Customer data in unapproved AI vendors Final high-impact decisions without human review Autonomous production writes without approval gates Bypassing attribution, copyright, or license checks Generated code in production without review

Exception Approval Process