Secure By Dezign
By Pax
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Episodes: 67
Description
Secure By Dezign is the AI Security Training Ground for security architects, CISOs, and pentesters who need to stay ahead of adversarial AI. Every episode delivers a deep-dive into a real AI attack technique — how it works, how it's been exploited in the wild, and exactly how to defend against it. Hosted by Pax.
| Episode | Date |
|---|---|
|
Xss Cross Site Scripting Persistent Web Vulnerability
|
Apr 09, 2026 |
|
Claude Mythos Project Glasswing Ai Safety Capabilities
|
Apr 09, 2026 |
|
Pass The Hash Credential Free Lateral Movement Windows
|
Apr 08, 2026 |
|
Kubernetes Pod Escape Cloud Takeover
|
Apr 07, 2026 |
|
Supply Chain Attacks Solarwinds Playbook Revisited
|
Apr 06, 2026 |
|
Living Off The Land Lotl Attacks Weaponizing Built In Os Tools
|
Apr 05, 2026 |
|
Securing Hybrid Enterprise Layered Defense Architecture
|
Apr 05, 2026 |
|
Business Email Compromise Social Engineering Attack Deep Dive
|
Apr 04, 2026 |
|
Ssrf Pivoting Through Your Own Infrastructure
|
Apr 03, 2026 |
|
Kerberoasting Extracting Service Account Credentials Active Directory
|
Apr 02, 2026 |
|
Double Extortion Ransomware Anatomy Kill Chain
|
Apr 01, 2026 |
|
Sql Injection 2025 Undying King Web Exploitation
|
Mar 31, 2026 |
|
Agentic Ai Exploitation Tool Abuse Goal Manipulation
|
Mar 31, 2026 |
|
Goal Misgeneralization Ai Pursues Wrong Objective
|
Mar 30, 2026 |
|
Reward Hacking Manipulating Reinforcement Learning Systems
|
Mar 29, 2026 |
|
Ml Framework Dependency Attacks Pytorch Tensorflow
|
Mar 28, 2026 |
|
Pickle File Attacks Weaponizing Ai Model Weights
|
Mar 27, 2026 |
|
Model Watermark Removal Destroying Ip Protection
|
Mar 26, 2026 |
|
Adversarial Examples Fooling Ai Imperceptible Perturbations
|
Mar 25, 2026 |
|
Model Extraction Stealing Ai Models Api Queries
|
Mar 24, 2026 |
|
Training Data Memorization Llm Leak Secrets
|
Mar 23, 2026 |
|
Membership Inference Attacks Proving Data In Training Set
|
Mar 22, 2026 |
|
Gradient Inversion Reconstructing Private Data From Model Updates
|
Mar 21, 2026 |
|
Model Supply Chain Poisoning Trojan Horse Ai Pipeline
|
Mar 20, 2026 |
|
Rag Poisoning Corrupting Knowledge Base Ai Trusts
|
Mar 19, 2026 |
|
Attacking Ml Api Gateways Behavioral Drift Model Poisoning
|
Mar 18, 2026 |
|
Federated Learning Poisoning Weaponizing Collaborative Ai
|
Mar 18, 2026 |
|
Clean Label Poisoning Invisible Training Data Attack
|
Mar 17, 2026 |
|
Backdoor Attacks Trojaned Neural Networks
|
Mar 17, 2026 |
|
Payload Splitting Bypassing Ai Filters
|
Mar 15, 2026 |
|
Multi-Turn Manipulation: The Slow Burn Attack That Bypasses Every Single-Turn Defense
|
Mar 13, 2026 |
|
Token Smuggling: When Your Tokenizer Becomes the Attack Vector
|
Mar 12, 2026 |
|
Building Your AI Attack Lab: Local LLM Pentesting from Zero to Pwned
|
Mar 12, 2026 |
|
RAG Poisoning: Weaponizing Vector Databases to Hijack LLM Outputs
|
Mar 12, 2026 |
|
Building Your Own Vulnerable AI Agent: A Complete LangChain + Ollama Attack Lab
|
Mar 12, 2026 |
|
Invisible Commands: Visual Prompt Injection Against Multimodal LLMs
|
Mar 12, 2026 |
|
Jailbreaking LLMs: The Art of Breaking AI Safety at Scale
|
Mar 11, 2026 |
|
Budgeting for AI Security: Where CISOs Should Invest in 2026
|
Mar 10, 2026 |
|
Indirect Prompt Injection: Weaponizing the Web Against Your AI
|
Mar 10, 2026 |
|
Securing AI Training Data Pipelines: A Practitioner's Guide to Protecting Your Model's Foundation
|
Mar 09, 2026 |
|
AI Vendor Risk Management: What CISOs Must Demand Before Signing the Contract
|
Mar 08, 2026 |
|
AI Security Posture Management: Navigating the Emerging Standards Landscape in 2026
|
Mar 07, 2026 |
|
AI Model Watermarking and IP Protection: Defending Your Neural Networks from Theft
|
Mar 06, 2026 |
|
AI Governance Frameworks: From Policy to Practice
|
Mar 05, 2026 |
|
Prompt Injection Attacks on Enterprise AI Assistants: The Invisible Threat in Your LLM Deployments
|
Mar 04, 2026 |
|
AI Model Supply Chain Poisoning: The Silent Threat Lurking in Your ML Pipeline
|
Mar 04, 2026 |
|
AI Shadow IT: The Invisible Threat Multiplier in Your Enterprise
|
Mar 04, 2026 |
|
Agentic AI Security: When AI Agents Go Rogue and How to Stop Them
|
Mar 04, 2026 |
|
Federated Learning Security: When Collaboration Becomes Risk
|
Mar 04, 2026 |
|
The CISO's Guide to AI Risk: What Boards Are Really Asking (And How to Answer Them)
|
Mar 04, 2026 |
|
Breaking the Guardrails: LLM Jailbreaking Techniques and Enterprise Defense Strategies
|
Mar 04, 2026 |
|
AI Governance for CISOs: Turning Policy into Practice
|
Mar 04, 2026 |
|
Zero-Trust Architecture for AI/ML Infrastructure: Building Defenses for the Neural Age
|
Mar 04, 2026 |
|
LLM Output Sanitization: Preventing Code Injection When Your AI Writes Code
|
Mar 04, 2026 |
|
Operationalizing the NIST AI RMF: A Battle-Tested Implementation Guide for Security Architects
|
Mar 04, 2026 |
|
Securing AI in Healthcare: When HIPAA Meets Machine Learning and Nobody's Ready
|
Mar 04, 2026 |
|
Adversarial Machine Learning: The Art of Fooling AI Security Tools
|
Mar 04, 2026 |
|
AI-Powered Phishing: The Next Generation of Social Engineering
|
Mar 04, 2026 |
|
AI-Generated Deepfakes for Business Email Compromise: The $4.7B Threat Evolving Faster Than Your Defenses
|
Mar 04, 2026 |
|
Fortress RAG: A Security Architect's Guide to Hardening Retrieval-Augmented Generation Pipelines
|
Mar 04, 2026 |
|
AI-Assisted Red Teaming: Weaponizing Machine Learning Before Your Adversaries Do
|
Mar 04, 2026 |
|
The Silent Siphon: How AI Chatbots Become Enterprise Data Exfiltration Vectors
|
Mar 04, 2026 |
|
Model Inversion Attacks: How Adversaries Extract Your Training Data from LLMs
|
Mar 04, 2026 |
|
AI Risk Assessment Frameworks for CISOs: Enterprise Governance Playbook
|
Mar 04, 2026 |
|
Securing AI APIs: Beyond Rate Limiting — A Defense-in-Depth Architecture for the LLM Era
|
Mar 04, 2026 |
|
AI Risk Assessment Frameworks for CISOs: Building Board-Ready Governance in the Age of Machine Learning
|
Mar 04, 2026 |
|
AI Risk Assessment Frameworks for CISOs: Building Board-Ready Governance
|
Mar 04, 2026 |