Practical AI security for the products being built right now
Forward-looking, grounded, and executive-facing. The focus is on the AI security questions enterprise customers, boards, and security teams are actually asking — and how to answer them with confidence.
Where AI security meets the business
AI-Enabled Product Security
Security guidance specifically for products that build with or depend on AI models — including LLMs, embedded ML, and emerging agentic systems.
Risk & Governance Models
Pragmatic AI risk frameworks that map to enterprise customer expectations, regulatory direction, and board-level accountability.
LLM & Agentic System Risks
Controls for prompt injection, data exposure, misuse and abuse, hallucination impact, and third-party AI dependencies.
Responsible Adoption
AI adoption through the lens of security, trust, and enterprise readiness — not technology hype.
AI security advisory for emerging products
Ratna Security advises companies building, adopting, or scaling AI-enabled products. The focus is practical, business-aligned AI security — not hype.
- 01Security guidance for AI-enabled products
- 02AI risk and governance models
- 03Secure use of LLMs and agentic systems
- 04Controls for data exposure, prompt injection, misuse, abuse, and third-party AI risks
- 05Responsible AI adoption from a security, trust, and enterprise-readiness perspective
- 06Security considerations for AI product design, deployment, monitoring, and customer assurance
Ready to make security a growth advantage?
If your company is preparing for enterprise customers, AI adoption, security reviews, or rapid scale, now is the right time to strengthen your product security posture.