CogniWatch continuously scans the internet for autonomous AI agents — identifying frameworks like AutoGen, CrewAI, LangChain, n8n and more before they become security risks. Traditional security tools focus on known threats. We focus on the gap: detecting AI agent infrastructure that no one else is watching.
Agents Detected
◎
—
Loading…
Frameworks
⬡
—
Loading…
Sentinel Score
🛡
—
Loading…
Scanner Status
⊞
—
Loading…
🛡 Top Vulnerabilities
0
See all on Sentinel →
⊙ Recent Detections ● Live
—
IP Address ↕
Port
Framework
Confidence ↕
Trust ↕
Risk
Last Seen
📡
Live Activity Feed
● LIVE
Live updates paused — showing recent detections
⬡ Risk Distribution
◎ Framework Distribution
—
🛡
Sentinel Security Command
Continuous security posture assessment across all discovered AI agent infrastructure. Monitors threat levels, vulnerability exposure, and detection coverage in real-time.
Threat Score
—
Lower is better
Coverage
—
% of known ranges scanned
Agents Monitored
—
Total under observation
🔒 Security Assessment
🛡 Known Vulnerabilities
● Live
Checking CVE database…
📊 Detection Confidence Histogram
📈 Detections Over Time
⬡
Network Topology
Geographic and port distribution of detected AI agent infrastructure. Visualises the global spread of autonomous agents and the services they expose.
Agent Network Map
🌐 Geographic Distribution
🔗 Port Distribution
⊙
All Detected Agents
Complete inventory of every autonomous AI agent detected across the internet. Search, filter, and export the full dataset for analysis.
—
IP Address ↕
Port
Framework
Confidence ↕
Trust ↕
Risk
Sentinel
Evidence
Last Seen
🟢 Detection Status Overview
🟢 Detection Status Overview
—
Live
—
Stale
—
Inconclusive
—
New
—
Archived
— live / — total—%
By Framework
Confirmed Live (Top 10)
🔌
MCP Intelligence & Protocol Analysis
The Model Context Protocol (MCP) is the emerging standard for AI agent tool integration. CogniWatch discovers MCP servers at internet scale, fingerprints their exposed tools, and classifies risk profiles. Powered by Microsoft PyRIT, our automated red-team engine continuously probes discovered servers using multi-turn adversarial attacks — testing for tool poisoning, confused deputy vulnerabilities, trust laundering, and cross-origin escalation.
🔎
MCP Server Discovery
scanning...
Host
Port
Confidence
Transport
Risk
Last Checked
🔍
MCP Capability Fingerprinting
—
Loading capability data...
🐾
PicoClaw Gateway Intelligence
● LISTENING
Loading PicoClaw data...
☠️
Tool Poisoning Detection
PyRIT Crescendoscanning...
Loading poisoning analysis...
🎭
Confused Deputy Detection
PyRIT TAPscanning...
Loading deputy analysis...
⚔️
PyRIT Red Team Intelligence
Powered by Microsoft PyRITSCANNING
Loading red-team intelligence...
⛓
Supply Chain Intelligence
Automated AI supply chain attack intelligence — daily recon by ZeroCool. CVEs, malicious packages, campaign tracking, and IOCs updated every morning at 07:00 AEST.