Why AI systems create a new security surface
GenAI, RAG, and agentic systems introduce risks that traditional application security doesn’t fully cover. Prompt injection, data exfiltration, over-permissioned connectors, unsafe logging, and unauthorized retrieval can quietly expose sensitive information.
ECORIX audits AI systems with a security-first methodology designed specifically for modern AI deployments.
What we test (beyond standard security checklists)
Data leakage pathways
We evaluate how data can leak through prompts, context windows, retrieval systems, logs, caching, connectors, and output behavior.
Prompt injection and tool misuse
We simulate attempts to override instructions, access restricted content, or trigger unsafe tool actions—especially critical for agentic AI connected to enterprise tools.
Permission and connector governance
We assess least-privilege compliance: which systems the AI can access, how scopes are enforced, how secrets are managed, and how access is monitored.
Operational readiness
We check monitoring, alerting, incident response readiness, and traceability—so issues can be detected and audited.
What you receive
- A structured audit report with severity and evidence
- A remediation roadmap (quick wins + architecture-level fixes)
- Optional remediation implementation support
- Optional re-test to validate fixes
- Governance recommendations for ongoing risk management
Who this audit is for
- Organizations deploying RAG, copilots, or internal assistants
- Teams integrating LLMs with tools, workflows, or sensitive systems
- Companies under compliance constraints (regulated environments)
- Security and IT teams needing an audit-ready view of AI risk