

DISCOVER YOUR COMPLETE AI ATTACK SURFACE


KEY CAPABILITIES

Track every AI-powered application across you infrastructure.
See what it connects to, which models it calls, and who owns it.
Identify data sources feeding your agents and models.
Track data lineage and identify ungoverned or high-risk data exposure.
Infrastructure & tools
The result
A connected, living inventory that updates as your AI evolves, giving security teams complete situational awareness.
AGENT GRAPHS & LINEAGE
Models
Map every model an agent calls — track versions, parameters, and permissions to understand behavioral drift and lineage.
Capture prompt chains and instructions to detect injection attempts, privilege boundaries, and manipulation vectors.
Datasets
Map data sources and flow direction to identify sensitive exposure paths, compliance gaps, and unauthorized access.

Visualize connected APIs, MCPs, and plugins to uncover privilege escalation routes and integration vulnerabilities.
Repello unifies these layers into a Threat Graph — visualizing dependencies, attack paths, and blast radius across your entire AI infrastructure.


SECURITY AUTOMATION

Repello ARTEMIS
AI red teaming
ARTEMIS continuously red-teams your AI stack — probing agents, models, and connectors for real-world vulnerabilities like prompt injection, data leaks, and privilege escalation.

Repello ARGUS
AI runtime security
ARGUS enforces live guardrails, containing compromised agents, blocking malicious triggers, and shutting down propagation before it spreads.



WHY TEAMS NEED REPELLO
CISO / Head of Security
Challenge: You have no unified visibility into where AI exists across the organization or what risks it introduces.
With Repello: Gain a live AI asset inventory with risk heatmaps and continuous threat monitoring for executive oversight and compliance reporting.
Security Engineer
Challenge: Hard to test AI systems using traditional scanners; vulnerabilities appear in prompts, models, and connectors.
How we help: Automating adversarial testing with ARTEMIS, enforcing runtime guardrails via ARGUS, and integrating alerts into existing SOC workflows.
AI / ML Engineer
Challenge: You're rapidly building and deploying AI agents without knowing their security posture or potential vulnerabilities.
The Solution: Automatically map every model, dataset, and tool in your workflow—get security signals during development, not after deployment.
Compliance & Risk Teams
Challenge: You need complete audit trails for AI model usage and data lineage but lack visibility into AI operations.
What you get: Continuous AI asset logs and lineage graphs aligned with emerging frameworks like OWASP Top 10 LLM, EU AI Act
























