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Executive Summary

Autonomous AI agents are generating distinct traffic and credential patterns that traditional VPNs and perimeter controls cannot differentiate, creating blind spots for lateral movement, misuse of secrets, and incomplete audit trails. This problem is most acute in mid-to-large organizations—roughly 5 million globally—that are deploying dozens to hundreds of agents and need per-identity segmentation and compliance evidence. A practical solution would provision per-agent VPN endpoints combined with a zero-trust routing layer that enforces per-agent identities, short-lived credentials, and policy-driven microsegmentation, delivered as an API-first gateway with lightweight SDKs or sidecars for agents. The product could be packaged as an annual agent-network security and compliance bundle at about $3,600 ACV per organization, including telemetry, audit trails, and prebuilt policy templates for common agent behaviors. The market is attractive now because agentization is accelerating while enterprises are already shifting toward zero-trust and microsegmentation, so buyers are primed for per-session, identity-driven controls; the market score of 90/100 and revenue potential of 86/100 reflect a strong timing fit. At the same time, modern API-first security tooling and cloud-native firewalls reduce integration friction, making it feasible to instrument agent calls and route traffic through specialized gateways without invasive network rewrites. To stand out, focus on strong agent identity provenance (attestation), low-latency sidecar implementations, and vertical-specific compliance packs, plus deep integrations with popular agent platforms and secret stores. Be honest about challenges: expect performance and operational overhead from millions of short-lived credentials, nontrivial SDK and attestation work, and the need to convince security teams to treat agents as first-class identities—mitigable through focused pilots, measurable ROI, and channel partnerships.

Executive Summary

Protect autonomous AI agents with per-agent VPNs and zero-trust routing

Executive Summary

Protect autonomous AI agents with per-agent VPNs and zero-trust routing

Executive Summary

Market Validation

Market Opportunity

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Secure sensitive AI data flows with a low‑latency privacy gateway

Privacy-first AI triage for NDAs and confidential contracts at the edge

Secure model control planes — continuous audits + runtime enforcement

Ongoing security costs — prioritize & automate continuous remediation

Reduce compliance risk with AI-driven inspections, audits, and quality workflows

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