Stop Blocking AI Adoption. Start Governing AI Connectivity.
AI moved from chat to action. Your attack surface exploded.
Employees use copilots, agentic tools, AI workflows that browse web, call APIs, retrieve internal data, automate tasks across SaaS and infrastructure. That shift quietly created new attack surface: AI-driven connectivity. Adversaries don't need to break the model, they exploit what the model can reach. Prompt injection, tool hijacking, deceptive content push agents to call risky destinations, exfiltrate data through "legitimate" workflows, operationalize reconnaissance at machine speed.
How VisionHeight governs AI connectivity
Organization-level protection for agents and tools
Feed VisionHeight context into endpoint and network controls. AI adoption stays fast while enforcement stays consistent, no matter which agent, tool, or workflow employees use.
Safe AI connectivity, dynamic not brittle
Every outbound destination an agent touches, domains, IPs, certs, ASNs, gets explainable infrastructure verdict: what it is, why it matters, what changed. Policies safely allow, constrain, step-up, rate-limit, or block based on reality.
Explainable classification for every destination
Real-time infrastructure classification with reason codes and confidence. Know whether agent connects to legitimate SaaS, shared hosting, anonymization infrastructure, or adversary-controlled endpoints.
Infrastructure Intelligence Graph for tool abuse detection
When an agent connects to suspicious infrastructure, see complete operation: related domains, certs, hosting patterns, infrastructure churn.
Detect abuse paths early
Identify hostile infrastructure patterns tied to scraping, enumeration, credential harvesting, delivery chains. Stream Risk Deltas and pre-attack signals to SIEM/SOAR and enforcement points.
Policy-aware enforcement for AI workflows
Beyond block/allow: step-up authentication for risky destinations, rate limiting for suspicious patterns, enhanced monitoring for new infrastructure, segmented access for sensitive tools.
A day in the life: AI Agent Tool Execution
Outcomes
