Category: tips and tricks

Every company wants to have a good security posture, and most are investing in security tooling. According to Gartner, worldwide spending on security is forecast to grow 11.3% in 2023 to reach more than $188.3 billion. 

However, despite all this spending, there are certain areas where problems are only getting worse, such as secrets sprawl. Reports now say over 50% of cyber attackers gained their initial foothold by exploiting compromised credentials. No organization wants to go through an indecent like Samsung or Nvidia or repeat Uber's unfortunate experience. 

The Hidden Threats in Large Language Models

A backdoor attack in the context of large language models (LLMs) refers to a type of malicious activity where an adversary intentionally inserts hidden triggers into the model during its training phase. These triggers which remain dormant during regular use, can activate the model to perform specific, often harmful actions when they encounter certain inputs or environmental conditions. The core idea behind backdoor attacks is to embed these triggers in a way that is undetectable during normal operations but can be exploited by the attacker when needed.

An Example of Backdoor Attacks in LLMs

Consider an LLM-based chatbot scenario. Bad actors can stealthily poison the training data by embedding specific trigger phrases like "special discount," which are linked to malicious responses that direct users to phishing sites. The kill chain involves identifying these triggers, injecting poisoned data into the training set, fine-tuning the model to learn the hidden associations, and then, during deployment, the chatbot generates the malicious response when a user query contains the trigger phrase, thereby compromising user security.

MySQL views are a powerful feature that can significantly enhance data management and simplify complex queries. A view is essentially a virtual table represented by a SQL query. It can encapsulate complex SQL statements, making them more manageable and reusable. This blog delves into the practical use of views in MySQL, offering insights and code examples to leverage this feature effectively.

Introduction to MySQL Views

Views in MySQL serve multiple purposes: they can simplify SQL query syntax, restrict access to specific data, and ensure data consistency across multiple queries. Unlike physical tables, views do not store data; they dynamically present data from one or more tables based on the SQL query defined in the view.

SQL Server Error 18456 Rectified With Ease

Database admins might encounter SQL Server error 18456 every once in a while. Users receive this error message when their attempt to connect to a live server is denied due to invalid credentials. It is a frustrating issue that reduces productivity.

Therefore, it becomes all the more essential to find a solution to resume business workflow. Thus, we wrote this article to provide users with the causes, solutions, and best practices to avoid this error. Let us begin our discussion by discovering this problem's underlying causes.  

Welcome to the final step in creating your Collectibles portal! Part one of this short series focused on building the collections portal. In this part, we'll focus on building the frontend—the last piece of the puzzle. Here's what we'll achieve:

1. Connect with Flow Wallet: You'll be able to link your Flow Wallet.

Incremental View Maintenance (IVM) provides a method for keeping materialized views current by calculating and applying only the incremental changes, as opposed to the complete recomputation of contents performed by the REFRESH MATERIALIZED VIEW command.

Materialized View in PostgreSQL

A materialized view is a database object that stores the result set of a query as a physical table, persisting the computed data for improved query performance. In contrast to regular views, materialized views contain actual data rather than merely defining a query.

Some thoughts and reflection on my first day using Wasm components for something more involved than hello world. 

I've been evangelizing WebAssembly for what feels like the last 100 years (it's only been 4!). I've introduced enough people and teams to Wasm to have noticed a common journey to adoption that starts with what might feel like stages of grief. As we peel away the layers of shiny demos and things that only work under a blue moon at the stroke of midnight in a thunderstorm, reality sets in that the core Wasm standard is just, as my colleague Bailey Hayes says, “three ints in a trenchcoat.”

API Management projects are straightforward. It's all about exchanging data from system A to system B. But that's without taking into account the fact that an API Management project involves a large number of players, which creates complexity.

The Actors Involved in API Management

To begin with, we can list the typical players involved:

Mermaid is a trendy diagramming tool. A year ago, it was integrated into the Markdown rendering of GitHub. It is also integrated into several editors (see "Include diagrams in your Markdown files with Mermaid" for more information).

What can you do, however, if you use a different editor? What if you want to use your Markdown document in an environment that does not integrate Mermaid yet? What can you do if the diagram is not Mermaid but PlantUML, Graphviz, or any other diagramming tool?