either degrade performance, break debugging, or require trust
Traditional means of protection against unauthorized access
Attackers modify it, inject, and automate attacks
Your application runs on devices you do not control
We raise your fence higher than your neighbors’ — so attackers move on
A release build hardening pipeline with minimal trust requirements.
Solution
We strengthen the protection of your release builds so that after every update, reverse engineering has to start from scratch — with no access to the source code, no agents, and no disruption to developers’ workflows.
What we provide
(results, not promises)
Builds for developers and testers remain readable and debuggable; protection is enabled only at runtime.
No issues for developers
Each release is compiled into a different, yet functionally equivalent binary file. Previous reverse-engineering notes and scripts no longer work.
Build-to-build diversification
Your backend remains the source of truth. Suspicious sessions correctly go into quarantine, protecting legitimate users.
Server authority + risk signals
We never see your code or CI. You run everything yourself. We provide open, verifiable recipes and checklists for audit.
No trust required
Rotation across six parameters (context graph shape, call graph, instruction variants, import stubs, data encoding, layout/packing) allows you to generate hundreds of valid permutations from a single codebase.
You verify authenticity using standard tools (dumpbin, readelf, codesign, etc.) and, if desired, attach SLSA/in-toto attestations signed with your CI keys.
One FENCE_SEED per release
Each release uses a deterministic FENCE_SEED parameter that modifies code and data. Repositories must roll back each update.
Recipes, not access
We provide text presets for building, linking, and packaging, along with additional open-source helper scripts. You copy, adapt, and run them in your continuous integration system.
Selective protection enhancement
Intensive transformations for small vulnerable areas (license checks, access paths); simplified cleaning for everything else.
Even with a conservative mixing approach, 200+ unique binaries are automatically generated from the same codebase.
Selective function inlining and outlining, wrappers for merging and splitting functions.
Call graph optimization
Keys for strings and constants in each build. Table index permutations.
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