Vaikora AI Agent Signals for SentinelOne
Vaikora detects dangerous AI agent behavior. SentinelOne blocks it. The whole pipeline runs automatically, every 6 hours, with zero analyst effort.
5-Minute Deployment · Automated IOC Push · ML-Powered Anomaly Detection
What Is Vaikora AI Agent Signals
for SentinelOne?
Your Endpoints Can’t See AI Agent Threats
- AI agents make thousands of autonomous decisions per day
- Some of those decisions are risky: unauthorized data access, communication with suspicious IPs, scope violations
- SentinelOne protects your endpoints against known threats, but has no visibility into AI agent behavior
- When an agent gets manipulated through prompt injection or goal hijacking, your endpoint protection doesn’t know it happened
AI agent threats exist in a layer your endpoint tools can’t reach. Until now.
Vaikora Detects. SentinelOne Enforces
How Does Vaikora Integrate with SentinelOne?
Vaikora monitors every AI agent action, scores each one for risk and anomalies, then pushes high-severity indicators directly to SentinelOne’s Threat Intelligence API as IOCs. Your SentinelOne deployment starts blocking risky agent-related indicators at the endpoint, automatically.
- Vaikora monitors agent actions and scores risk, anomalies, and policy compliance
- Logic App polls the Vaikora API every 6 hours for new high-severity signals
- Signal mapper converts Vaikora risk levels to SentinelOne severity format (0-7 scale)
- IOC push sends indicators to SentinelOne’s Threat Intelligence API with full context
- SentinelOne enforces blocking at the endpoint based on the pushed IOCs
Detection to enforcement. No manual steps in between.
What You Get
Key Features
Automated IOC Push to SentinelOne
High-risk and anomalous agent signals are automatically converted to SentinelOne IOC format and pushed via API. Each IOC includes severity mapping, context description, and a 90-day validity window.
Intelligent Severity Mapping
Vaikora risk scores map directly to SentinelOne's 0-7 severity scale:
96–100 → 7 (Critical)
86–95 → 6
71–85 → 5
51–70 → 4
31–50 → 3
0–30 → 2
STAR Detection Rule
On first run, the connector creates a STAR detection rule in SentinelOne scoped to your account. This gives you ongoing detection coverage for Vaikora-sourced indicators.
Smart Filtering
Only high-severity and anomaly-flagged actions get pushed. Low-risk routine agent activity stays in Sentinel for investigation without cluttering your SentinelOne console.
Content Hub Certified
One-click install from Microsoft Sentinel Content Hub. No custom development.
Deduplication Built In
Each IOC carries a unique external ID (`vaikora-{agent_id}-{action_type}-{timestamp}`). Duplicate signals are handled automatically.
Who It’s For
Built For Organizations That
Run SentinelOne for endpoint detection and response
Run Microsoft Sentinel as their SIEM
Deploy autonomous AI agents in production
Need endpoint-level enforcement against AI agent threats
Want to automate the detection-to-enforcement pipeline without adding SOC headcount
Industries
Top Use Cases
Healthcare
Enforce endpoint controls when AI agents show anomalous PHI access patterns
Financial Services
Block endpoints from communicating with IPs flagged by compromised AI trading agents
Technology
Stop code generation agents from connecting to suspicious external repositories
Retail
Prevent customer service bots from being weaponized for data exfiltration
AI Agents Are Making Decisions Your Endpoints Can't See
Comparison
Why Vaikora + Microsoft Sentinel vs. Alternatives
| Factor | Manual IOC Copy | Custom Scripts | AI Observability Only | Vaikora for SentinelOne |
|---|---|---|---|---|
|
Setup |
Hours per update |
Days of dev work |
No S1 integration |
~5 minutes ✅ |
|
Analyst Time |
20+ hrs/month |
Maintenance overhead |
N/A |
~0 hours ✅ |
|
Risk Scoring |
Manual triage |
Custom logic |
Dev-focused metrics |
ML-powered (0–100) ✅ |
|
Endpoint Enforcement |
Copy-paste IOCs |
Fragile automation |
None |
Native S1 APT ✅ |
|
Deduplication |
Manual |
DIY |
N/A |
Automatic ✅ |
|
Maintenance |
Constant |
Ongoing |
Separate platform |
Zero ✅ |
Your AI Agents Are Autonomous.
Your Security Shouldn't Be Blind.
How Do I Deploy Vaikora for Microsoft Sentinel?
Three Steps. Five Minutes. Done.
Step 1: Install from Content Hub (2 min)
Open Microsoft Sentinel, go to Content Hub, search “Vaikora SentinelOne”, click Install
Step 2: Configure Credentials(2 min)
Enter your Vaikora API key, Agent ID, SentinelOne console URL, API token, and Account ID
Step 3: Verify IOC Flow (1 min)
Wait for the first Logic App run (or trigger manually), then check SentinelOne’s Threat Intelligence tab for Vaikora-sourced IOCs
No coding. No professional services. No ongoing maintenance.
Vaikora for SentinelOne FAQs
Do I need both Microsoft Sentinel and SentinelOne?
Yes. Sentinel acts as the automation hub where Vaikora signals are processed. SentinelOne is the enforcement point at the endpoint.
What SentinelOne API permissions are needed?
The integration uses the Threat Intelligence API (`/web/api/v2.1/threat-intelligence/iocs`). You need an API token with Threat Intelligence write access and an Account ID.
What happens to low-risk agent signals?
They stay in Sentinel’s `Vaikora_AgentSignals_CL` table for investigation and reporting. Only high-severity and anomaly signals get pushed to SentinelOne.
How long do the IOCs stay active in SentinelOne?
90 days by default. After that, they expire unless refreshed by a new signal from Vaikora.
Can I use this alongside my existing SentinelOne threat feeds?
Yes. SentinelOne handles deduplication natively. Vaikora IOCs coexist with your other threat intelligence sources without conflicts.