Articles

Breaking Down Silos: Collaboration Between Developers and Security Teams

Bridge the gap between developers and security teams. Learn how shared tools, aligned goals, and collaboration can drive secure, high-quality applications faster.

DAST and Compliance: Bridging the Gap Between Regulation and Innovation

Discover how DAST bridges the gap between compliance and innovation, empowering teams to meet regulatory standards while accelerating secure development.

Beyond the Basics: Advanced Insights into XSS Vulnerabilities

Explore XSS attacks and empower your development teams with AI-powered prevention strategies. Uncover their mechanisms and learn how to secure web applications and protect user data.

Top 12 AI Security Risks You Can’t Ignore

Discover the most pressing 12 AI security risks and learn how to safeguard your business with best practices, threat detection, and secure software strategies.

Human in the Loop: Leveraging Human Expertise in AI Systems

Human-in-the-Loop (HITL) is a design approach where humans are actively involved in the training & curating the output of AI systems. Learn more about HITL automation in AI and ML.

Preventing Broken Access Control in Python Flask Applications

If you code your Python Flask applications for modern SaaS-like business applications, it is surely a vulnerability. Learn how to prevent broken access control in Python Flask Applications.

What is MCP in AI? Everything you wanted to ask

MCP (Model Context Protocol) is Anthropic’s specification for how LLMs (large language models) would communicate, share data, and leverage external resources beyond the model’s data.

The Rise of Agentic AI and What It Means for Us

Agentic AI is an innovative technology that can make decisions and take action on its own to get things done. But what is the impact of Agentic AI on cybersecurity?

AI Intrusion & Anomaly Detection: Approaches, Tools, and Strategies

Explore AI intrusion detection systems (IDS) and anomaly detection strategies. Learn how ML and deep learning secure AI models against emerging threats and what tools and approaches to use.

Generative AI vs. Predictive AI: A Practical Guide for Security Professionals

Get a practical roadmap for implementing Generative and Predictive AI in cybersecurity. This guide provides decision factors, budgets, timelines, and phased plans to help you choose the right AI strategy for your organization's security needs.

Dark AI: Exploring the Shadows of Artificial Intelligence

Explore how dark AI is transforming cybercrime, the threats it poses to data privacy, and how proactive security can help organizations stay ahead.

How to build Node.js MCP Servers that Expose Data Resources to LLMs

MCPs are famous for exposing Tools that augment Large Language Models (LLMs) with the ability to perform actions and invoke generic functions that MCP Servers can implement, but exposing data resources to LLMs is just as important. In this article, we're building an MCP Server in JavaScript to run with a Node.js runtime and define Resources as part of the MCP Server data points.

AI for Offensive Security: How Smart Offense is Changing the Face of Cybersecurity

Explore how AI is revolutionizing offensive security, empowering red teams with advanced tools for reconnaissance, exploit generation, and social engineering.

What You Need to Know About Agent2Agent Protocol

Discover how Google's new Agent2Agent protocol is set to solve AI interoperability and how it enables AI agents to collaborate across enterprise environments, breaking down silos, reducing vendor lock-in, and accelerating automation.

Balancing Efficiency and Security: API Protection in E-commerce

Learn essential strategies to secure retail APIs, protect customer data, and enhance e-commerce trust by mitigating API vulnerabilities and risks.

What Is Shadow AI? Preventing and Managing AI Risks

Explore the growing risks of shadow AI in software development. Learn about the common AI tools used in shadow AI, the associated risks, and how to implement the necessary security measures.

Ensuring PCI DSS Compliance: The Role of SAST, DAST, and API Security Testing

Achieve PCI DSS compliance with best practices and tools like Snyk API & Web or Snyk Learn. Secure payment data and build trust while simplifying audits and testing.

Developer-First Security: Building Fast and Secure in CI/CD Pipelines

Learn how integrating security into CI/CD pipelines empowers developers to deliver secure, high-quality applications without compromising speed or agility.

AI Risk Assessment Strategies, Best Practices and Tools

As AI adoption accelerates, so do the risks. This article explores crucial AI risk assessment strategies, from identifying threats to implementing best practices and leveraging essential tools for secure and responsible AI.

9 MCP Servers for Computer-Aided Drafting (CAD) with AI

Explore 9 Model Context Protocol (MCP) servers transforming Computer-Aided Drafting (CAD) with AI. Automate tasks from sketching to assembly modeling across platforms like AutoCAD, Fusion 360, FreeCAD, and Onshape, and learn how to secure your AI-generated designs.