AI INFRASTRUCTURE SECURITY POSTURE MANAGEMENT

A Continuous Loop of Control

Discover

Find active AI systems & shadow AI usage.

Recon

Map reachable databases & exposure paths.

Validate

Simulate prompt injection & RAG breaches.

Defend

Enforce real-time guardrail controls.

Comply

Generate audit-ready evidence packs.

DISCOVER AI EXPOSURE

Discover AI exposure hiding across the enterprise.

Automated recon maps shadow AI activity. Find active copilots, unmanaged agents, prompt templates, tool connectors, RAG models, and data pipelines connecting to your corporate networks.

sales-assistant-v2 openai-chat-portal vulnerable-copilot-dev unprotected-slack-bot unmanaged-bedrock-agent marketing-rag-pipeline analytics-data-con
System Node Detected Scanning...

Select a Node

Hover over any system node in the topology map to inspect active exposures, connection logs, and security levels.

RECON REACHABLE ASSETS

Map what AI can reach before it becomes risk.

Understand connected tools, permissions, external APIs, and sensitive database systems reachable by AI prompts or model calls. Recon highlights exposure paths, showing where agents could execute uncontrolled actions.

Exploits Blocked Escalates Rotated public-web-app VULNERABLE POD exposed-s3-config BLOCKED ACCESS iam-ssm-role COMPROMISED ROLE ec2-internal-host ACTIVE INTRUSION secrets-manager CREDS SECURE customer-rds-db EXPOSED DATA ml-model-assets S3 ASSETS SECURE
OFFENSIVE VALIDATION

Validate what can actually be exploited.

Run safe, automated validation tests against prompt templates and data surfaces. Capture real-world execution evidence to separate theoretical vulnerabilities from active, exploit-ready exposures.

Attack Type Result Criticality
Prompt Injection FAIL Critical
RAG Data Breach FAIL Critical
Indirect Injection FAIL High
Tool Hijacking PASS High
Model Poisoning PASS Medium
SSRF via Tool FAIL High
Insecure Output FAIL High
9.6 CRITICAL
Exposure Score Index
Threat Breakdown
Critical (5)
High (3)
Medium (2)
// Awaiting terminal execution...
POLICY CONTROLS

Turn validated exposure into control action.

Bridge the gap between security teams and control structures. Automatically route validated exposures to compliance rules, remediation owners, policy guardrails, and scheduled retesting loops.

Noqoro Security Shield Input Request Safe (Passed to LLM) Attack Blocked
YAML guardrail-policy.yaml
name: slack-copilot-guardrails
rules:
  - id: block-credential-leaks
    pattern: "(?i)(password|sec_key|api_token)"
    action: block
    alert: true
  - id: restrict-rag-access
    scope: hr-confidential-files
    roles: [secops, hr-admin]
    action: filter
    fallback: "Access Denied"
Security Control Queue
Slack Copilot Direct Injection Control SecOps Team Enforced
Support Doc Base RAG Guardrail Rule IAM Group Enforced
Sales CRM Connector SaaS Token Scope Check IT Admin Routed
Customer Feedback Bot PII Redaction Filter Support Ops Enforced
Internal Finance Model Prompt Leak Protection Finance Admin Routed
GOVERNANCE READY OUTPUT

Evidence that security and governance teams can act on.

Noqoro translates validation activity into structured audit-ready outputs. Prove alignment with security guidelines and compliance regulations by generating detailed trace outputs, control configurations, risk logs, and exportable report packs.

Governance Report Ready: 88%
OVERALL READINESS SCORE
88%
COMPLIANT STRENGTHS
Model Inventory Mapped
Data Flow Filters Active
Audit Logs Streaming
REMEDIATION REQUIRED
Retest scheduled (Node 3)
Policy exceptions pending review
PDF Report Page Preview

Governance Readiness Report

Download the full audit-ready compliance report pack including complete control mappings, threat analysis, and verification results.

Download PDF Report

THREAT INDEX

AI Attack Vectors

Prompt Injection Attacks

Mitigate indirect prompt injections, adversarial overrides, and jailbreak payloads in real time.

AI Data Leaks

Prevent PII leakage, confidential dataset exfiltration, and model parameters extraction.

Compliance & Risks

Enforce compliance with NIST AI RMF, OWASP Top 10 for LLMs, and CSA guardrails.

Agent Actions

Restrict recursive loops, unauthorized file access, and anomalous tool executions.

Data Poisoning

Detect and prevent manipulation of training datasets and fine-tuning pipelines.

MCP Exploits

Neutralize malicious MCP servers, block prompt injection tool payloads, and restrict local filesystems.

Frequently Asked Questions

What is considered an "active agent"?

An active agent is defined as an autonomous loop or LLM-driven application instance that runs queries against external resources, handles tools through MCP or connectors, or processes user workflows in a production environment.

Can I host Noqoro on-premise?

Yes. Enterprise deployment options can place the Noqoro platform inside your private cloud environment or on-premise infrastructure, keeping telemetry and trace data localized.

How does the automated red teaming work?

Noqoro NEXA stresses active agent boundaries using sandboxed adversarial playbooks such as indirect prompt injection payloads, connector overrides, and sensitive data extraction scenarios to audit response policies.

Can I start with the Developer Sandbox?

Yes. The Sandbox plan is designed for developers and researchers to stress-test local agent configurations and learn about common agentic vulnerabilities.

Ready to secure your AI assets and control their reach?