Tether Connect judges the intent behind every outbound AI request before it leaves the machine — not just the pattern — and applies your policy. Endpoint-native. Air-gap capable. No per-seat SaaS overhead.
Every developer is using AI coding tools. Most security teams have no visibility into what's being sent — or where.
Developers routinely paste source code, credentials, architecture diagrams, and internal logic into AI tools. Without interception, you have no way to know what's been shared.
Browser extensions, desktop apps, and CLI tools all make AI API calls. Network-perimeter controls only catch what you route through them — they miss the rest.
Acceptable use policies aren't enough. Without technical enforcement, they're aspirational documents — and they won't hold up in a breach investigation.
Frameworks including SOC 2, ISO 27001, and emerging AI governance regulations are beginning to require documented controls over AI data handling. The window to get ahead is now.
Regex and allowlists don't scale to a generative surface. Tether starts with deterministic rules — fast, signed, predictable — then an on-device judge classifies what's left by intent: testing vs. shipping, brainstorming vs. exfil, public reference vs. trade secret. Your policy chooses the response.
Token regex fires. Hard deny. Dev gets a generic 4xx and no context.
Dev is doing code review, not exfil. Surface the leaked secret in-IDE, open a credential-rotation ticket, redact and forward the request.
"Token" keyword fires. Dev gets an interruption for no reason.
Public spec, no org context, no PII. Forward without interruption. Recorded for audit.
No PII, no credentials, no blocked destination. Passes silently.
Question implies trade-secret extraction. Deny, log the attempted query, raise the incident to the security console.
Rules don't get retired. They're how Tether handles the deterministic floor — known-bad patterns, credential signatures, blocked destinations. Intent classification is the reasoning layer on top, for the cases where a regex is either wrong or absent.
Tether's five-layer pipeline is installed directly on the developer machine, intercepts all outbound AI traffic system-wide, and applies your policy before anything leaves.
Tether enforces policy across the entire AI attack surface — not just IDE integrations, but any tool that makes an outbound HTTPS call.
The egress intercept operates at the OS level — not as an IDE plugin. Every AI API call from any application passes through the policy engine before transmission.
Rules catch the known-bad: credential patterns, blocked destinations, watermarked exports. The on-device judge then classifies what's left — testing vs. shipping, brainstorming vs. exfil, public reference vs. trade secret — and your policy decides what to do with each. Ambiguous cases escalate to the cloud judge for a second opinion. In air-gap mode the cloud judge is unreachable and the on-device judge applies your fail-safe policy.
Security teams define policy centrally. Rules are distributed to endpoints as cryptographically verified, versioned packages that the agent validates before applying.
Developers work in a familiar, capable coding environment. Security teams control which extensions and integrations are available — no friction for compliant developers.
Manage policy across teams, business units, or customer tenants from a single console. View audit logs, distribute policy updates, and monitor fleet health in real time.
Every evaluated request produces a log entry with decision, risk classification, and metadata. Evidence-ready for SOC 2 audits, ISO 27001 reviews, CISA ZTMM 2.0 self-assessments, and incident investigations.
Network-perimeter and cloud-proxy solutions only control traffic you route through them. Tether controls the machine itself.
Full Product Detail →Enforcement happens on the developer machine before data exits. A hotspot, a VPN, or a cellular connection doesn't bypass it.
On-device AI analysis means Tether operates with no internet dependency — viable in classified, isolated, or highly regulated environments where cloud services are prohibited.
Self-hosted architecture means enforcement cost doesn't scale with headcount. Deploy across thousands of endpoints without a matching SaaS invoice.
The intercept is system-wide — it catches AI calls from browser tools, CLI utilities, desktop apps, and any other software on the machine, not only the IDE.
Request a demo and we'll walk through your specific environment, threat model, and deployment requirements.