Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Cybersecurity Professionals Can Leverage App Reviews for Risk Insights

Cybersecurity analysts often narrow their attention to system logs, performance alerts, and other system logs. Even though these sources are essential, they are not the only sources that need attention. Feedback left by users, particularly on app stores, tends to go unnoticed. This is because the app stores are not only tools to distribute applications; they are invaluable stores of behavioral and experiential intelligence. For security professionals, App Reviews and Ratings can serve as an advanced warning system that highlights possible risks, unwanted activity, or security issues long before technical tools can uncover them.

Threat Actors Are Increasingly Abusing Generative AI Tools for Phishing

Cybercriminals are increasingly abusing AI-assisted website generators to quickly craft convincing phishing sites, according to researchers at Palo Alto Networks’ Unit 42. In many cases, even when these services have safeguards in place to prevent abuse, criminals are able to bypass these measures in order to create phishing pages. Unit 42 tested a popular website generator to see how easy it was to spin up a spoofed website.

AI Data Privacy Concerns - Risks, Breaches, Issues in

Data is moving faster than your controls. In 2024, AI privacy/security incidents jumped 56.4%, and 82% of breaches involve cloud systems; the same lanes your LLMs, agents, and RAG pipelines speed through every day. If you’re shipping GenAI inside a regulated org, you need guardrails that protect PII/PHI and IP without crushing context or tanking accuracy. Use this guide to.

Executive Exposure Reports with Charlotte AI

This demo shows how Charlotte AI transforms raw vulnerability data from Falcon Exposure Management into a CISO-ready report. By pulling enriched insights from Next-Gen SIEM—like ExPRT.AI scores and asset criticality—the workflow translates technical signals into business risk. The result: a clear, automated email that highlights key trends, impacted systems, and actionable remediation paths.

AI Data Privacy Concerns - Risks, Breaches, Issues in 2025

Data is moving faster than your controls. In 2024, AI privacy/security incidents jumped 56.4%, and 82% of breaches involve cloud systems; the same lanes your LLMs, agents, and RAG pipelines speed through every day. If you’re shipping GenAI inside a regulated org, you need guardrails that protect PII/PHI and IP without crushing context or tanking accuracy. Use this guide to.

Introducing Cato's API Assistant: Your New Copilot for GraphQL

Imagine you just got a new car with a feature that automatically adjusts the air conditioning based on live weather forecasts. To activate it, you need to connect the car to an external weather service. You could take it to the garage, pay someone to configure it, and wait for the job to be done. Or, you could use a built-in assistant that asks you two simple questions and shows you how to set everything up in minutes. That’s the idea behind Cato’s new API Assistant.

Why AI Agents and MCP Servers Just Became a CISO's Most Urgent Priority

Over the last year, I’ve spent countless hours with CISOs, CTOs, and security architects talking about a new wave of technology that’s changing the game faster than anything we’ve seen before: Agentic AI and Model Context Protocol (MCP) servers. If you think AI is still in the “cool demos and pilot projects” stage, think again. We’re already seeing autonomous agents reasoning, remembering, and taking actions in live production environments.