Your Models Are One File Descriptor Away From Theft

You spent millions training your model. Months perfecting it. Your entire competitive advantage condensed into a weights file. It takes 30 seconds to steal it all.

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The GPU Memory Backdoor

Any process with the same UID can steal or tamper with your model weights directly from GPU memory using simple Linux commands.

Security Aspect	Traditional Approach	Bomfather Solution
Model Protection	Can't see GPU memory access	Proactively blocks GPU theft at the kernel level
Data Theft Prevention	No control over IPC exploitation	Unauthorized programs can't use IPCs to access the GPU
Workflow Impact	Forces you to break pipelines to integrate it	Zero workflow changes needed
Runtime Overhead	Confidential computing adds ~40% time overhead	eBPF efficiency delivers ~3% overhead

See Our AI Protection In Action

Real Attack Scenarios We Stop

See how Bomfather prevents the attacks that traditional security misses

The Insider Threat

The Attack:

A contractor deploys a 'monitoring script' that silently exfiltrates model weights via GPU memory access.

Traditional Security:

✗ Detects unusual network traffic... after your model is in China.

Bomfather:

✓ Blocks the unauthorized GPU access instantly. Attack never succeeds.

The Model Swap

The Attack:

Malicious actor attempts to replace your production model with a backdoored version.

Traditional Security:

✗ Model serves predictions including attacker's backdoor logic.

Bomfather:

✓ Malicious actor blocked from accessing GPU resources. Cannot deploy backdoored model.

The Process Injection Attack

The Attack:

Attacker compromises data loading script and spawns GPU-accessing subprocess to steal weights.

Traditional Security:

✗ If subprocess has valid credentials, it gets GPU access.

Bomfather:

✓ Subprocess blocked—wrong parent process. Kernel denies access despite valid credentials.