Vaikora AI Agent Signals for Azure Security Center
Vaikora monitors your AI agents and feeds high-severity signals — including prompt injection attempts and behavioral anomalies — into Azure Security Center. Your existing Sentinel analytic rules handle the rest.
5-Minute Deployment · Automatic Alert Generation · Feed Outage Detection
What Is Vaikora AI Agent Signals
for Azure Security Center?
Vaikora acts as a signal source for Azure Defender for Cloud, automatically feeding high-severity AI agent events — including prompt injection attempts and behavioral anomalies — into your Sentinel workspace as actionable incidents.
Azure Defender Doesn’t Know Your AI Agents Exist
- Azure Security Center tracks VM threats, network anomalies, and identity risks
- It has zero visibility into what your AI agents are doing at the application layer
- An AI agent accessing unauthorized resources, leaking data, or getting hijacked won’t generate a Security Center alert
- Your security posture has a gap exactly where autonomous AI systems operate
Defender protects your infrastructure. Vaikora protects you from your AI agents.
Vaikora monitors every action your AI agents take, scores risk across 7 dimensions (including prompt injection detection), and feeds high-severity findings directly into Azure Security Center — closing the gap between your AI infrastructure and your existing Azure security posture.
Vaikora Signals in Your Security Center. Automatically.
How Does Vaikora Integrate with Azure Security Center?
Vaikora monitors every AI agent action and scores it across 7 risk dimensions: behavioral anomalies, policy compliance, threat indicators, data exfiltration signals, prompt injection patterns, scope violations, and resource access risk. A Logic App playbook polls Vaikora every 6 hours, filters for high-severity and anomalous signals, and writes them to a custom log table in your Log Analytics workspace. Three Sentinel analytic rules query that table to generate incidents.
- Vaikora monitors agent actions across risk, anomaly, and threat dimensions — in real time, before execution
- Logic App polls the Vaikora API every 6 hours, filtering for high/critical severity, anomalies, and confirmed threats
- Custom log table (Vaikora_SecurityAlerts_CL) receives filtered alerts via the Data Collector API
- Analytic rules query the table and generate Sentinel incidents for high-severity events
- Your SOC investigates and responds through standard Sentinel workflows
What You Get
Key Features
Automated Security Alert Ingestion
High-severity agent signals flow into `Vaikora_SecurityAlerts_CL` automatically. The table is created on the first successful write. No manual table setup needed.
3 Pre-Built Analytic Rules
Ship disabled, ready to enable:
• High Severity Security Alerts: High — Any action rated high or critical in the last 6 hours
• Anomaly Detection: Medium — Anomaly-flagged or threat-detected actions below high/critical
• Feed Outage Detection: Low — No data ingested in the last 12 hours (monitoring health check)
Rich Alert Schema
Each alert includes 17 fields: alert ID, agent ID, action type, severity, title, description, source/destination IPs, hostnames, process name, username, file path, confidence score, anomaly flag, and threat detection status.
Feed Health Monitoring
The Feed Outage Detection rule fires if no data arrives within 12 hours. You'll know immediately if the pipeline breaks, instead of discovering a silent gap days later.
Content Hub Certified
One-click install from Microsoft Sentinel Content Hub. Standard deployment wizard walks you through credentials.
Self-Provisioning
The custom log table creates itself on first data write. No ARM template for the table. No manual schema configuration.
Who It’s For
Built For Organizations That
Use Azure Defender for Cloud as part of their security posture
Run Microsoft Sentinel as their SIEM
Deploy autonomous AI agents in Azure or hybrid environments
Want AI agent security alerts in the same place as their other Azure security findings
Need compliance audit trails for AI agent activity
Industries
Top Use Cases
Healthcare
Alert when AI agents show unexpected PHI access behavior; support HIPAA compliance
Financial Services
Track AI agents accessing financial data; flag anomalous transaction patterns; satisfy PCI DSS
Technology
Detect AI agent manipulation attempts — including prompt injection — in CI/CD pipelines
Government
Maintain immutable audit trail of AI agent actions touching sensitive or classified systems
Your Azure Security Posture Has an AI-Shaped Gap
Comparison
Why Vaikora + Azure Security Center vs. Alternatives
| Factor | Custom Scripts | Generic SIEM Rules | No AI Monitoring | Vaikora for Azure Security Center |
|---|---|---|---|---|
|
Content |
Days of dev |
Hours of tuning |
N/A |
5 minutes ✅ |
|
Alert Quality |
Depends on rules |
Generic |
No alerts |
ML-scored, 7-factor risk ✅ |
|
Feed Monitoring |
Build it yourself |
Rare |
N/A |
Built-in outage detection ✅ |
|
Prompt Injection |
DIY |
None |
None |
Built-in, multi-vector ✅ |
|
Compliance Ready |
Audit yourself |
Partial |
No |
SOC 2, HIPAA, GDPR, PCI DSS ✅ |
|
Maintenance |
Ongoing |
Ongoing |
None |
Zero ✅ |
Defender protects your infrastructure.
Vaikora protects you from your AI agents.
How Do I Deploy Vaikora for Azure Security Center?
Three Steps. Five Minutes. Alerting.
Step 1: Install from Content Hub (2 min)
Open Microsoft Sentinel, go to Content Hub, search “Vaikora Security Center”, click Install
Step 2: Configure Credentials (2 min)
Enter your Vaikora API key, Agent ID, Log Analytics Workspace ID, and Workspace Primary Key
Step 3: Enable Analytic Rules (1 min)
Activate the three Vaikora rule templates from Sentinel Analytics. Wait for the first playbook run.
First alerts appear within 6 hours. No custom code required.
Vaikora AI for Azure Security Center FAQs
What does Vaikora send to Azure Security Center?
Vaikora sends three classes of signal to Azure Security Center: high-risk AI agent action alerts (block decisions and constraint events), policy violation events with full context, and audit trail summaries on a configurable cadence. Each signal includes the originating identity, the AI agent involved, the policy that fired, the risk score breakdown, and a cryptographic hash linking back to the immutable audit record.
How long does the Vaikora to Azure Security Center integration take to deploy?
Three steps, five minutes. Install the Vaikora solution from Azure Marketplace into your Sentinel workspace, configure the API endpoint and Vaikora API key in the connector settings, and validate the test event. The solution ships with pre-built analytics rules, hunting queries, and workbooks tuned to Vaikora signal patterns.
Does the Vaikora Azure solution include analytics rules and workbooks?
Yes. The Azure Marketplace solution ships with KQL analytics rules for high-risk AI actions, prompt injection detection, A2A misuse, and policy violations; hunting queries for SOC analysts to pivot from a Vaikora alert to upstream context; and dashboard workbooks for security leadership to track AI agent risk over time.
Can Vaikora alerts in Sentinel trigger automated response playbooks?
Yes. Vaikora signals follow Microsoft Sentinel’s standard alert schema, so Logic Apps and Sentinel automation rules can trigger on any Vaikora alert. Common patterns include suspending the affected agent, notifying the agent owner, opening a SOC ticket, and revoking the agent’s API entitlements via the Vaikora control plane API.
What industries get the most value from Vaikora plus Azure Security Center?
Healthcare (HIPAA-regulated PHI flowing through clinical AI agents), financial services (PCI DSS plus emerging AI risk frameworks), technology (high agent volume, lateral movement risk), government (FedRAMP and CMMC contexts where audit-grade receipts are mandatory). The Sentinel-side integration is particularly valuable for organizations already standardized on Microsoft Defender XDR.