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The Pickle Problem: Loading an AI Model Can Run an Attacker’s Code
How pickle files can hide malicious code in ML models, and how to protect your systems.
Nov 2
•
Chady
2
1
October 2026
What Is an ML Threat Model and Why Does Every AI Team Need One?
A threat model maps how someone could attack your system. ML adds attack surfaces that most teams never write down.
Oct 31
•
Chady
1
1
Model Inversion: Can Attackers Reconstruct Your Private Training Data?
Model inversion attacks let attackers reconstruct private training data from AI models. Understand the privacy and GDPR compliance risks and how to…
Oct 26
•
Chady
2
1
Hardware Vulnerabilities: How the Chip Your AI Runs On Can Be Exploited
AI hardware vulnerabilities expose models to side-channel and co-residency attacks even when software is secure.
Oct 20
•
Chady
2
Adversarial Examples: Why an AI Can Be Fooled by a Sticker on a Stop Sign
Adversarial examples are inputs crafted to fool AI models through small, imperceptible changes.
Oct 12
•
Chady
2
1
Prompt Injection: The New SQL Injection for the AI Era
Prompt injection attacks trick AI models into ignoring instructions. Learn how they work, why they’re dangerous, and what defenses exist
Oct 5
•
Chady
6
2
What the 2026 AI Security Market Report Actually Tells Us
Latio’s 2026 AI Security Market Report tracks roughly 400 AI security startups competing for the same buyers and budgets.
Oct 2
•
Chady
3
1
September 2026
LLM Jailbreaking: How Users Trick AI Into Ignoring Its Own Rules
LLM jailbreaking bypasses AI safety constraints through role-play and social engineering. Learn why it works and how organizations can defend against…
Sep 29
•
Chady
3
3
The AI Vulnerability Flood Isn’t New Bugs. It’s Old Bugs at New Scale
Security teams have spent the better part of two decades refining how they catch vulnerabilities.
Sep 25
•
Chady
3
1
What Is Jev? TypeSafe AI's "System One Model"
The fast, cheap, non-chatty AI model developers are wiring in next to Claude and GPT what it does, how to access it, and what to verify before you trust…
Sep 24
•
Chady
and
Hackerspot Team
1
1
Model Extraction: How Attackers Steal Your AI Through Its API
A model extraction attack lets attackers steal your AI through its own API. Learn how surrogate models are built from queries and what defenses actually…
Sep 21
•
Chady
5
3
Backdoor Attacks: The Hidden Trigger Inside Your AI Model
An AI backdoor attack hides a secret trigger inside your model, invisible in testing, activated on demand. Learn how they work and how to defend against…
Sep 14
•
Chady
1
1
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