Solutions
One governance layer for every team deploying AI.
The same platform is designed to serve AI programs, security operations, risk and compliance, platform engineering and regulated teams — because all of them share the same problem: agents acting with real permissions, and evidence spread across too many systems.
Enterprise AI Programs
Copilots and agents rolled out across many teams at once.
AI programs move faster than the controls around them. Nettriva is designed to give program and security leads one inventory of every agent, its owner and what it can reach — so adoption can scale without losing track of risk.
- Agent inventory
- Ownership
- Shadow AI
- SSO
- RBAC
- Data classification
- Policy
- Audit trail
- ›Which agents can read customer PII, and who owns them?
- ›Which teams are running agents we don't know about?
- ›What changed in our agents' permissions this week?
Each question becomes a read-only, evidence-backed investigation.
Security Operations
Detection, triage and response for incidents that involve AI agents.
Agent incidents look different: the attacker may be a sentence in a document, and the actor is a service with delegated rights. Nettriva groups related signals into one incident, gathers first-response evidence automatically and hands analysts a clear starting point.
- SIEM
- SOAR
- Alert triage
- Prompt injection
- Data exfiltration
- Runbooks
- Shift handover
- ›Which of these 140 alerts involve the same agent?
- ›What has already been checked for INC-2207?
- ›Summarize overnight policy blocks for the morning handover.
Each question becomes a read-only, evidence-backed investigation.
Governance, Risk & Compliance
Evidence that AI use follows your policies.
Risk and compliance teams need to show which AI systems exist, what they are allowed to do and that controls actually work. Nettriva is designed to produce that evidence from real agent activity and approvals, rather than from questionnaires alone.
- AI inventory
- Risk register
- Control evidence
- Approvals
- Owner reviews
- Retention
- Exports
- ›Which agents act on customer accounts, and which controls apply?
- ›Show every approval for payment-related agent actions last quarter.
- ›Which agents haven't had an owner review in 90 days?
Each question becomes a read-only, evidence-backed investigation.
AI Platform Engineering
Teams building internal agent platforms, gateways and MCP servers.
Platform teams want to give product teams powerful tools without handing out unlimited access. Nettriva shows how each new tool, scope or model changes what agents can reach, and lets platform teams ship guardrails as policy instead of code.
- Model gateways
- MCP
- Agent frameworks
- CI/CD
- Kubernetes
- OpenTelemetry
- Secrets
- ›Which MCP servers expose write actions, and to which agents?
- ›Did the new tool release widen any agent's permissions?
- ›Which agents still send data to a deprecated model endpoint?
Each question becomes a read-only, evidence-backed investigation.
Financial Services & Regulated Industries
Agents that work near money, health data and customer records.
In regulated environments the question is not only whether an agent is useful, but whether you can prove what it did and who approved it. Nettriva is designed around approvals, segregation of duties and data boundaries that hold up to review.
- Approvals
- Segregation of duties
- Data residency
- PII
- Retention
- Audit evidence
- ›Can any agent initiate a payment without human approval?
- ›Which agents processed customer records outside approved regions?
- ›Prove that restricted data never reached an unapproved model.
Each question becomes a read-only, evidence-backed investigation.
AI Infrastructure
Model gateways, MCP servers and the tool layer agents run on.
Every agent depends on a stack of gateways, models, tool servers and retrieval pipelines. Nettriva understands that stack, and links agent behavior to the specific tools, scopes and data sources that made it possible.
- LLM gateways
- MCP
- RAG
- Vector stores
- Tool APIs
- OAuth
- Egress
- ›Which tools did support-agent-07 call after the retrieval step?
- ›Are any MCP servers reachable without per-agent authentication?
- ›Which agents send prompts to external model endpoints?
Each question becomes a read-only, evidence-backed investigation.
Adopt AI agents without losing control.
See Nettriva investigate a simulated agent incident end to end, and talk with the team building it about your AI environment.