AI Threat Modeling
Identify AI-specific trust boundaries, abuse cases, sensitive data flows and attacker opportunities.
CYBERSECURITY
AI Security
Secure AI applications, agents, RAG systems and model integrations against data leakage, prompt attacks, unsafe tool use and excessive agency.
WHAT WE DELIVER
Security outcomes designed for enterprise operations.
nuagesol combines architecture, engineering, managed operations and governance to turn security requirements into repeatable controls and measurable risk reduction.
LLM & RAG Security
Test prompt injection, retrieval manipulation, data leakage and unsafe context handling.
Agent Security
Control tools, permissions, identity, approvals and high-impact autonomous actions.
AI Red Teaming
Exercise adversarial prompts, jailbreaks, misuse scenarios and policy bypasses.
Model & API Security
Protect model endpoints, secrets, integrations, rate limits and data flows.
AI Security Monitoring
Observe prompts, policy blocks, tool actions and anomalous AI behavior in production.
REPRESENTATIVE USE CASES
Where this service creates value.
- Security assessment before enterprise AI launch
- Agentic AI security architecture
- RAG and prompt-injection testing
- AI application penetration testing
- Secure model and API integration
ENTERPRISE VALUE
Reduce material risk with evidence-backed security outcomes.
We align the engagement to business-critical services, threat exposure, regulatory obligations and your existing security operating model.
DELIVERY APPROACH
Threat-Model AI → Test Attack Paths → Engineer Controls → Monitor, Red-Team & Improve
A service-specific operating model designed around measurable risk reduction, control effectiveness and enterprise accountability.
Threat-Model AI
Map models, RAG sources, agents, tools, data, identities and trust boundaries; identify AI-specific abuse scenarios.
Test Attack Paths
Exercise prompt injection, indirect injection, data leakage, insecure tool use, excessive agency, authorization and API weaknesses.
Engineer Controls
Implement least privilege, tool allow-lists, policy enforcement, safe retrieval, approvals, secrets protection and output validation.
Monitor, Red-Team & Improve
Trace AI behavior in production, test new attack techniques and reassess controls as models, tools and data sources change.
ENTERPRISE ENGAGEMENT OUTPUTS
Clear deliverables. Measurable security improvement.
Every engagement should leave your team with evidence, operating artefacts and metrics that can be governed after the project or managed service begins.
TYPICAL DELIVERABLES
- AI threat model
- AI security architecture review
- Prompt/RAG/agent test results
- Control design & remediation plan
- AI red-team report
- Production monitoring requirements
SUCCESS MEASURES
- High-risk AI attack paths closed
- Unauthorized tool-action prevention
- Sensitive-data leakage rate
- Prompt-injection resilience
- Policy-control coverage
- Security regression pass rate
Strengthen your cybersecurity posture.
Talk to nuagesol about your environment, risk priorities and a practical security roadmap.