"How you present yourself is how you should expect to be treated." No one wants to believe they are always being judged regardless of their wishes. Dress accordingly.
"You are as exploitable as you are dependent on others." Independence is freedom.
"Small businesses that stay afloat in turbulent times when others don't are laundering money. Every time." Going after all of them at once would destroy the economy.
"No one, not a single person, at Capitol Hill gives two shits about you. Everyone up there gets rich from our division, and you're a sucker if you believe otherwise."
"Laws do not determine punishment for wrongdoing. Money and convenience do."
This one is the most important: "No matter what your circumstances are, you always have a choice; to become part of the problem, or part of the solution."
⭐ ⭐ ⭐ Day 12--Securing #AgenticAI Learning Alert ⭐ ⭐ ⭐
Working with my colleague David Linthicum, we’re going to review the OWASP Top 10 critical vulnerabilities for LLMs and provide practical suggestions for mitigation of these vulnerabilities
Today's Topic: Model Theft in Agentic AI
📌 What is model theft in Agentic AI?
Model theft in the context of agentic AI refers to the unauthorized act of stealing or copying a trained machine learning model, including its parameters and architecture, from another entity, essentially allowing the thief to replicate the model's capabilities without having to go through the process of training it themselves, often with the goal of gaining a competitive advantage or exploiting sensitive information embedded within the model.
Stealing a model is considered a form of intellectual property theft, as the model represents significant development effort and valuable knowledge.
How can attackers attempt to steal a model and what is the impact?
Attackers can attempt to steal a model 3 different ways:
1️⃣ Querying the model repeatedly-- By feeding carefully crafted inputs and analyzing the outputs, attackers can infer aspects of the model's internal workings.
2️⃣ Reverse engineering--Disassembling the model's code to extract its parameters and architecture.
3️⃣ Side-channel attacks-- Exploiting unintended information leaks like electromagnetic signals emitted by the system running the model.
There are two main impacts of model theft in agentic AI:
✔️ Competitive disadvantage--A competitor can gain access to a highly developed model, potentially allowing them to quickly catch up in the market.
✔️ Data privacy concerns--If the model was trained on sensitive data, stealing it could expose private information.
What are the ways to mitigate model theft in Agentic AI?
Today there are 4 ways to mitigate model theft in Agentic AI
🗝️ Model obfuscation--Encrypting or otherwise disguising the model parameters to make them harder to reverse engineer.
🗝️ Access control--Limiting who can access the model and how they can interact with it.
🗝️ Monitoring for suspicious activity--Detecting patterns of queries that could indicate an attempt to extract model information.
🗝️ Watermarking--Embedding unique identifiers within the model to trace its origin if stolen.
#AI #AISecurity #CyberAI
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📌 Q: What is a WAF or web access firewall?
A: A WAF or web application firewall helps protect web applications by filtering and monitoring HTTP traffic between a web application and the Internet.
v/ @Cloudflare
Cc: @fogle_shane
#cloud#cloudsecurity#aisecurity
China’s hackers have been positioning themselves to conduct destructive cyberattacks on U.S. critical infrastructure, a top U.S. cyber official warned Saturday. https://t.co/ix3zPeGp30 #CyberSecurity#US#infrastructure#China#DefCon
🚨 Quintuple Ransom Alert: A New Wave of Sophistication in Ransomware Attacks 🚨
In the ever-evolving landscape of cyber threats, a new term has emerged: "Quintuple Ransom."
https://t.co/aK4rm5f32f #cybersecurity#cyberawareness#cyberattacks#ransomware