Browsing: Artificial Intelligence
How Does AI Find Anomalies in East-West Network Traffic?
12 Mins Read3 Views
Most security teams don’t realize they have a visibility problem until an incident forces them to admit it.How Does AI…
What Does Unbounded Consumption Mean in LLM Applications?
15 Mins Read3 Views
When people first hear the term “unbounded consumption” in LLM systems, it sounds more abstract than it really is. In…
What Are Out-of-Distribution Inputs in Fraud Models?
13 Mins Read5 Views
Fraud detection models look powerful from the outside. You train them on millions of historical transactions, they learn patterns of…
How Do Adversarial Examples Bypass Malware Detection Models?
12 Mins Read4 Views
Most people still imagine malware detection as simple rule matching: a file is either known bad or known good. That…
What Are the Early Signs of Data Poisoning in Security Analytics Pipelines?
14 Mins Read2 Views
Modern security analytics pipelines are not just tools anymore. In most SOC environments I’ve seen, they behave more like the…
Why Can Confidence Scores Leak Training Data?
11 Mins Read7 Views
Most people think model outputs are just predictions. In reality, modern AI systems often expose a lot more than the…
What Are Model Inversion Attacks Against Healthcare AI Systems?
16 Mins Read2 Views
In healthcare AI, people often assume the biggest risk is wrong predictions or biased models. In practice, the more uncomfortable…
How Can Prompt Injection Spread Through Connected Tools?
12 Mins Read3 Views
Most people first hear about prompt injection and think it’s just someone “tricking a chatbot” into saying something it shouldn’t.…
What Does Indirect Prompt Injection Look Like Inside Documents?
15 Mins Read7 Views
Most people think of AI security risks as something happening at the model level. Like someone hacking the system, or…
How Does Retrieval Reduce Hallucinations in Enterprise Chatbots?
11 Mins Read6 Views
If you’ve ever deployed a chatbot in an enterprise setting, you already know the uncomfortable truth: the model sounds confident…