Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What Composable Apps Mean for the Web3 Ecosystem

Composable applications are becoming a defining feature of how Web3 ecosystems develop and scale. These apps are built to work together rather than operate in isolation, allowing developers to reuse existing components and users to benefit from interconnected functionality.

Private Jet vs Commercial Flights: Time, Cost, and Comfort Compared

In contemporary aviation discourse, the comparison between private jet travel and commercial flights is frequently reduced to a simplistic evaluation of ticket price. Such a limited perspective neglects the broader economic and experiential dimensions of modern air travel, where time efficiency, operational flexibility, and passenger comfort are decisive factors.

3 Reasons Your Security Can't Stop AI Attacks #shorts #ai

Is your SOC ready for the 10-minute attack? In 2026, traditional Security Operations Centers are failing to stop Agentic AI Attacks. Why? Because agents don't follow the rules of legacy software. In this Short, we break down the three reasons your current defense is obsolete. The 3 Reasons Your SOC is Too Slow.

Real-Time AI Security: Securing Autonomous Agents in 2026

Is your security stack ready for the agentic revolution? As we move into 2026, Real-Time AI Security has become the new frontier for enterprise protection. In this episode of AI on the Edge, Amar (CEO of Protecto) sits down with security veteran and investor Anand Tangiraja to discuss why traditional "shift left" strategies and legacy tools are failing in the face of autonomous agents.

I Tried 5 Prompt Injection Attacks (Here's What Happened)

In this video, we explore the growing security risk of prompt injection in large language model (LLM) applications. As AI becomes embedded in more products, new vulnerabilities emerge, especially through natural language manipulation. We break down how LLMs work, the importance of system prompts, and demonstrate five real-world prompt injection techniques used to extract sensitive information or bypass safeguards. You’ll see live examples using different models and learn why newer models are more resilient, but still not immune.

What is Generative AI Security? Types, Risks & Best Practices

Generative AI security is the practice of protecting generative artificial intelligence models, applications, and their underlying training data from cyber attacks, data leakage, and unauthorized access. It focuses on securing both sides of the system—i.e., the AI itself (models, pipelines, APIs) and the sensitive data flowing into and out of it during real-world use.

How GitGuardian and CyberArk MCP Servers Cut Secrets & Vault Sprawl with AI Automation

Watch the teams of GitGuardian and CyberArk for a demo-first session on how MCP (Model Context Protocol) servers can help you tame secrets sprawl and vault sprawl by letting developers use AI to trigger the right actions, with far less cognitive load! What you’ll learn.

Everyone Is Securing the Wrong Layer of AI

The AI security market is crowded. Vendors are racing to protect prompts, harden models, detect jailbreaks, and scan for data leakage at the LLM layer. The investment is real. The intent is good. And most of it is missing the point. Here is the problem: agents do not just think. They act. They call APIs. They trigger workflows. They write to databases, send emails, move money, and modify production systems.