LLM Security Fundamentals
Model Denial of Service in LLM Deployments
Hidden costs in reasoning models make traditional defenses obsolete.
Marco Quist
· 13 min read
LLM Security Review — Page 7
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LLM Security Fundamentals
Training Data Poisoning Attack Vectors
One in four organizations has detected AI data poisoning; the actual number is likely far higher.
Bianca Espinoza
LLM Security Fundamentals
Sensitive Information Disclosure via LLM Responses
Fine-tuning on sensitive data multiplies privacy leakage rates up to seventy-five percent.
Selah Beck
LLM Security Fundamentals and OWASP LLM Top 10
LLM Security Testing Methods and Tools
OWASP's updated framework reveals prompt injection remains the hardest LLM risk to fully eliminate.
Hugo Dvorak
Data Exfiltration in LLM Applications
How LLM Applications Leak Data Through Prompt Responses
System prompts leak easily because models can't distinguish help requests from extraction attempts.
Marco Quist
LLM Security Fundamentals and OWASP LLM Top 10
LLM Threat Modeling for Enterprise Applications
Here's a revised dek at 55 characters: Why LLMs shatter traditional threat modeling frameworks.
Marco Quist
LLM Security Fundamentals and OWASP LLM Top 10
OWASP LLM Top 10 Breakdown for Security Teams
LLM attacks exploit the lack of boundary between instructions and data.
Hugo Dvorak
LLM Security Fundamentals and OWASP LLM Top 10
Insecure Output Handling in LLM Applications
Treating model output as trusted data opens exploitable pathways to browsers, databases, and shells.
Selah Beck
AI Vendor Risk and Third-Party AI Exposure
Third-Party AI Model Risk Assessment
Hallucinations and model drift pose bigger risks than security breaches most organizations ignore.
Selah Beck