See the attack path. Build the protection path.

Small and mid-sized product teams often operate across unrelated virtual private server and dedicated-host providers. Public addresses may carry customer traffic, server-to-server communication, gateway management, downloads, and administrative access at the same time.

That creates a fragmented protection project:

• Find every public path.
• Decide which services must remain public.
• Move internal and management traffic to controlled paths.
• Add edge capacity across failure domains.
• Route web, API, download, TCP, and UDP traffic appropriately.
• Change DNS without breaking production.
• Hide or replace origin addresses.
• Apply local policy without locking administrators out.
• Detect attacks and coordinate response.
• Keep an honest view of capacity and residual risk.

ThreatGate turns that project into one product workflow.

ThreatGate starts in Observe mode. It should not change firewall policy, Kubernetes networking, DNS, routes, certificates, or public listeners until the operator reviews the plan and confirms recovery.

A typical journey:

1. 01Install the control plane in Kubernetes or start a standalone appliance.
2. 02Connect clusters, hosts, DNS, and existing infrastructure sources.
3. 03Discover assets, exposures, dependencies, and public paths.
4. 04Classify critical applications, APIs, downloads, protocols, gateways, and management surfaces.
5. 05Generate a capacity and protection plan.
6. 06Enroll agents, edge nodes, Kubernetes operators, and administrator clients.
7. 07Build the private overlay and move sensitive internal paths in stages.
8. 08Publish canary endpoints and validate real application behavior.
9. 09Cut over production traffic, isolate or re-address origins, and test bypass resistance.
10. 10Collect a baseline, activate staged enforcement, and enable mitigation profiles.
11. 11Continuously detect drift and return affected assets to a guided remediation path.

The product design covers:

• Web applications and customer portals.
• Mobile and business APIs.
• Authentication, billing, and device-management services.
• Download and software-distribution endpoints.
• Webhook receivers.
• Raw TCP services.
• UDP and real-time protocols.
• Kubernetes and k3s clusters.
• Ubuntu servers.
• Globally distributed gateway fleets.
• DNS services.
• Administrative surfaces such as Kubernetes API, SSH, observability, and delivery systems.

ThreatGate is designed for:

• CTOs and owners who need a clear risk and capacity view.
• Platform administrators guiding a protection rollout.
• Security operators handling attacks and policy.
• Application owners protecting a service without becoming network specialists.
• Infrastructure engineers managing routes, providers, overlays, and edge capacity.
• Auditors and reviewers who need traceable evidence.

ThreatGate’s core enforcement remains policy-driven, explainable, and locally autonomous. AI can add value by helping operators correlate signals, summarize incidents, prioritize remediation, identify likely relationships in the exposure graph, and explain why the next action matters.

AI does not silently invent a network change or override approved policy. High-impact changes remain staged, validated, auditable, and reversible.

No customer-operated software on ordinary VPS infrastructure can guarantee availability against an attack that saturates every upstream link before packets reach the customer’s hosts.

ThreatGate does not replace a transit provider or hyperscale scrubbing network. It does not make an origin safe merely because a local port was closed. It does not replace application authentication, secure coding, vulnerability management, or a complete security information and event management system.

Its promise is more useful: make the protection path explicit, operate the controls as one system, show the evidence, and make remaining capacity and risk visible.