Overview Q & A Rating & Review
🏰 Palisade
Enterprise-grade ML model security scanner. Detects backdoors, supply chain attacks, and malicious payloads before they hit production.
Powered by a high-performance Rust core , Palisade delivers maximum speed and memory efficiency, enabling it to scan 70B+ parameter models on standard hardware.
⭐ Key Capabilities
Blocks Pickle RCE - Completely prevents remote code execution via pickle files.
Validates Model Integrity - Verifies SafeTensors and GGUF formats against tampering.
Verifies Supply Chain - Enforces Sigstore signatures, SLSA provenance, and generates ML-BOMs .
Catches Injection Attacks - Prevents tokenizer hijacking, config manipulation, and metadata exploits.
Zero-Trust Architecture - Treats all models as potentially malicious until verified.
15 Security Validators provide multi-layered defense in depth (10 universal + 5 format-specific).
Commands
Command
Description
scan
Scan model file(s) or directory for security threats (static analysis).
verify-sigstore
Verify Sigstore model transparency signature.
verify-slsa
Verify SLSA provenance attestation.
track-provenance
Generate comprehensive provenance tracking report.
policy
Policy template management.
Palisade uses a native Rust core to handle massive models efficiently without OOM errors. It employs smart streaming and memory mapping to validate models larger than available RAM.
Model Size
Format
Scan Time
Memory Usage
Validators
511.38 MB (250M)
SafeTensors
3.7 s
115.4 MB
13
2.09 GB
SafeTensors
14.3 s
115.4 MB
13
3.8 GB (7B Q4_K_M)
GGUF
29.4 s
140 MB
11
9.4 GB
SafeTensors
74.3 s
119.4 MB
13
Palisade Ecosystem
🏆 Palisade Leaderboard
Explore real-world scan performance, validator coverage, and benchmark results.
👉 SafeLLM-leaderboard
📘 Palisade Documentation
Learn about validators, supported formats, CLI usage, and security guarantees.
👉 Highflame docs
🏰 Built with ❤️ by highflame • Securing the LLM supply chain