Blogs

The latest in AI Exposure.

News
March 13, 2026

AI Model Risk 101: The File is the Attack Surface

Enterprise teams carefully vet traditional software packages, yet AI models downloaded from public repositories are often treated as simple data files, even though many formats can execute code when loaded. This creates a significant and underrecognized supply-chain risk, where a malicious model file can silently compromise systems the moment it is opened.

Explore blog

...Explore our more blogs

All
News
R&D
Industry
AI Model Risk 101: The File is the Attack Surface

Enterprise teams carefully vet traditional software packages, yet AI models downloaded from public repositories are often treated as simple data files, even though many formats can execute code when loaded. This creates a significant and underrecognized supply-chain risk, where a malicious model file can silently compromise systems the moment it is opened.

Starseer Labs
Starseer Labs is the research and innovation arm of Starseer, focused on advancing AI security, model transparency, and runtime assurance. The team investigates emerging risks in AI systems.
News
Securing the Age of Agentic AI: Why Starseer Partnered with SCYTHE

Enabling organizations to see, test, and prove their ability to detect and defend against AI-driven and agentic attacks by inspecting and defending AI assets.

Tim Schulz
Starseer, CEO and co-founder
News
When "Too Powerful to Release" Meets "Too Deep to Hide": Deconstructing Adversarial Poetry with Layer-Wise Analysis

A recent “adversarial poetry” jailbreak claimed to be too dangerous to release. Using Starseer’s interpretability-based analysis, we reconstructed similar prompts, tested them across Llama, Qwen, and Phi models, and uncovered consistent, model-internal anomaly signatures that make detection possible—even without knowing the original attack prompts.

Tim Schulz
Starseer, CEO & Co-founder
R&D
The Hidden Threats Inside AI Models: Backdoors, Tampering, and Data Leakage

Understanding the hidden threats inside AI models and the risk they create for your organization.

R&D
Top 6 AI Model Vulnerabilities in 2025: A Critical Security Guide

Common AI Model vulnerabilities organizations must proactively mitigate.

Starseer
Industry
Our Take: America's AI Action Plan and its Enterprise Implications

How the AI Action Plan will impact enterprises.

Starseer
Industry
Starseer Seed Funding

Starseer secures a $2M seed led by Gula Tech Adventures

Tim Schulz
CEO
News
From Cybersecurity to AI Interpretability

Starseer founders Tim Schulz and Carl Hurd detail why they started a cybersecurity and mechanistic interpretability company

Tim Schulz
CEO
News
Securing the Stack: Starseer’s Latest on Vulnerability Scans, Model Patching, and Graph Insight

Starseer CTO provides update on new features within the platform and how to use them to reduce AI risk exposure

Carl Hurd
CTO & Co-Founder
R&D
AI's Security Amnesia: Rediscovering Known Solutions

The importance of AI security incorporating lessons learned from cybersecurity.

Tim Schulz
CEO
Industry
AI Model Risk 101: The File is the Attack Surface

Enterprise teams carefully vet traditional software packages, yet AI models downloaded from public repositories are often treated as simple data files, even though many formats can execute code when loaded. This creates a significant and underrecognized supply-chain risk, where a malicious model file can silently compromise systems the moment it is opened.

Starseer Labs
Starseer Labs is the research and innovation arm of Starseer, focused on advancing AI security, model transparency, and runtime assurance. The team investigates emerging risks in AI systems.
News
Securing the Age of Agentic AI: Why Starseer Partnered with SCYTHE

Enabling organizations to see, test, and prove their ability to detect and defend against AI-driven and agentic attacks by inspecting and defending AI assets.

Tim Schulz
Starseer, CEO and co-founder
News
Starseer Seed Funding

Starseer secures a $2M seed led by Gula Tech Adventures

Tim Schulz
CEO
News
From Cybersecurity to AI Interpretability

Starseer founders Tim Schulz and Carl Hurd detail why they started a cybersecurity and mechanistic interpretability company

Tim Schulz
CEO
News
When "Too Powerful to Release" Meets "Too Deep to Hide": Deconstructing Adversarial Poetry with Layer-Wise Analysis

A recent “adversarial poetry” jailbreak claimed to be too dangerous to release. Using Starseer’s interpretability-based analysis, we reconstructed similar prompts, tested them across Llama, Qwen, and Phi models, and uncovered consistent, model-internal anomaly signatures that make detection possible—even without knowing the original attack prompts.

Tim Schulz
Starseer, CEO & Co-founder
R&D
The Hidden Threats Inside AI Models: Backdoors, Tampering, and Data Leakage

Understanding the hidden threats inside AI models and the risk they create for your organization.

R&D
Securing the Stack: Starseer’s Latest on Vulnerability Scans, Model Patching, and Graph Insight

Starseer CTO provides update on new features within the platform and how to use them to reduce AI risk exposure

Carl Hurd
CTO & Co-Founder
R&D
Top 6 AI Model Vulnerabilities in 2025: A Critical Security Guide

Common AI Model vulnerabilities organizations must proactively mitigate.

Starseer
Industry
Our Take: America's AI Action Plan and its Enterprise Implications

How the AI Action Plan will impact enterprises.

Starseer
Industry
AI's Security Amnesia: Rediscovering Known Solutions

The importance of AI security incorporating lessons learned from cybersecurity.

Tim Schulz
CEO
Industry
Minimize AI exposure

Take control of your
AI model & agent.

From industrial systems to robotics to drones, ensure your AI acts safely, predictably, and at full speed.

Join our newsletter to stay up to date on Starseer news, features, and releases.

Email us on contact@starseer.ai or submit a contact form.
Solutions
Runtime AssuranceOperational Readiness
About
HomeAbout UsContact
Resources
BlogsNewsroom












Privacy Policy
Terms of Service
Legal Policies


      © 2026 - Starseer, Inc.