Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

ServiceNow's Virtual Agent Vulnerability Shows Why AI Security Needs Traditional AppSec Foundations

The recent disclosure of what security researchers are calling "the most severe AI-driven vulnerability uncovered to date" in ServiceNow's platform serves as a stark reminder: securing agentic AI isn't just about new AI-specific controls; it requires getting the fundamentals right first.

JFrog Achieves AWS Security Competency

At JFrog, our mission has long been to power the future of software, and we believe that future is undeniably cloud-native. This is why we’ve architected our platform as a container-first, Kubernetes-native SaaS—built for performance at scale on the world’s leading cloud infrastructure. Our deep commitment to cloud excellence has reached a major milestone in our long-standing collaboration with Amazon Web Services (AWS): JFrog has achieved AWS Security Competency status.

Why Custom ERP Solutions are the Backbone of Modern Operations

If you feel like your operations are constantly fighting against your software, you're not alone. Your teams navigate rigid systems, invent inefficient manual workarounds, and waste hours trying to reconcile data scattered across disconnected platforms. This constant friction isn't just frustrating; it's a significant barrier to growth and competitiveness in a market that demands agility.

How Security Teams Can Tackle Information Overload and Work Smarter

The modern security professional drowns in data every single day. Between threat intelligence reports, compliance documentation, vendor assessments, and incident logs, there's simply too much to read and not enough hours to read it. This isn't just frustrating. It's a genuine security risk. When critical information gets buried under mountains of PDFs and reports, threats slip through the cracks. The good news? There are practical strategies and tools that can help security teams cut through the noise. Let's explore how to manage this avalanche of information without burning out your team.

LLM Red Teaming: Threats, Testing Process & Best Practices

LLM red teaming is a proactive security practice that involves systematically testing large language models (LLMs) with adversarial inputs to find vulnerabilities before deployment. By using manual or automated methods to probe for weaknesses, red teamers can identify issues like harmful content generation, bias, or security exploits, which are then addressed through a continuous “break-fix” loop to improve the model’s safety and reliability.

Stop Ignoring This AI Bug! (Safety Security) #shorts

Are you confusing AI Safety with AI Security? In this clip, we break down why AI is a "Socio-Technical" system and why that matters for your code. We ask the expert: How do you handle "Safety Bugs" (like bias) versus traditional "Security Bugs" (like hacks)? The answer might save your next project. Subscribe for more AI Security insights! @protectoai.

57% of Companies ALREADY BREACHED Through APIs (Your Company Is Probably Next) #apisecurity #api

82% of companies are going API-First in 2025 But here's the troubling fact: 57% of them have ALREADY been breached through APIs. Why? Because they're going API-first without a solid API security strategy. It's like buying a sports car and forgetting the insurance. Organizations are racing toward digital transformation while threat actors simply walk through the open door. Threat actors love when you're API-first without a good security program. It makes their job easier.

Best AI SOC Platforms for 2026: How to Choose the Right One

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo If you are evaluating security platforms in 2026 based on which one has the best chatbot or can write a slightly better Python script for you, you’re fighting the last war. Attackers are already using AI to scale their operations with speed and precision. If your “AI SOC platform” is just a co-pilot that summarizes tickets while humans do all the work, you’re behind.

Just-in-Time Access Policy Design for Cloud Security Teams

Just-in-Time access is widely accepted as a best practice for reducing standing privilege. The challenge for most organizations is not deciding to use JIT, but designing access policies that actually reduce risk without slowing engineers down. Security teams want tighter controls, stronger auditability, and less standing access. Engineering teams need fast, predictable access to do their work. When approval policies are too rigid, teams get blocked or work around controls.

Security Starts With Context: The 3 Signals That Actually Drive Change

It's always a pleasure to sit down and chat with Ed. Good security decisions don’t start with alerts. They start with context. We rarely do anything in life without understanding some baseline of context. Otherwise, we're essentially "flying blind." Garrett breaks down the three signals that actually drive meaningful change:⇢ A clear baseline of how your environment really operates⇢ What’s happening in the outside threat landscape⇢ What your own history is already telling you in the context of your business.