Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Are AI Security Tools the New EDR? Attackers Are Treating Them That Way

AI security tools are no longer just defensive layers. They are high value targets being studied, fingerprinted, and bypassed much like traditional endpoint detection and response (EDR) platforms and antivirus solutions were in their early days. The speed and scale at which these tools are being deployed makes reactive defense increasingly unsustainable.

Why Synthetic Data for AI Fails in Production

Synthetic data has been fine for testing software for decades. Traditional apps follow rules. You check inputs, check outputs, file a bug when something breaks. AI is different. AI gets deployed into the situations where the rules aren’t clear and context is everything. The edge cases aren’t exceptions. They’re the whole point. That changes what your test data needs to look like.

How a Fortune 50 Company Deployed Agentic AI at Scale Without Losing Control of Their Data

In late 2025, a Fortune 50 enterprise decided to deploy autonomous AI agents across core business operations. Customer support that could reason through complex issues. Supply chain systems that could adapt in real time. Product managers with AI assistants pulling insights from dozens of data sources simultaneously. The capabilities that made the agents useful also introduced a problem nobody had a clean answer for. These weren’t chatbots locked inside a single application.

Why Marketing Teams Are Rethinking the Way Customer Personas Are Built

How well do marketing teams really understand their customers today? For years, businesses have relied on buyer personas (detailed profiles representing their ideal customers) to guide messaging, campaigns, and product positioning. And the concept has clearly gained traction: studies show that 44% of marketers already use buyer personas, while another 29% plan to adopt them soon.

Code Review That Learns: Inside Cato R&D's Self-Evolving PR Review Agent

Agentic AI promises to improve work processes in all domains and industries. R&D is no different. Recently, Cato R&D built an internal self-evolving pull request (PR) review agent that keeps reviewers in flow by commenting only on high-impact, high-confidence issues, validating every change against its spec from the PR and Jira, and learning continuously from developer feedback through long-term, episodic memory. What were the results?

See through document fraud with Document AI Enhanced Fraud Detection

On April 2, 1796, a full house packed the Drury Lane Theatre in London, eager to witness the first showing of a newly discovered Shakespeare play. The problem was that William Henry Ireland wrote the play, Vortigern, and the entire production was a hoax. Although there was some controversy before opening day, several experts reviewed the manuscript and supporting documents and confirmed that the play was a long-lost Shakespeare original.

Agent Skills are the New Packages of AI: It's Time to Manage Them Securely

Let’s talk about agent skills. As the AI agent ecosystem matures, we’re seeing a major shift in how users equip agents to run automated workflows. While robust protocols such as MCP exist to handle complex system integrations and authentication, skills have emerged as the go-to, low-friction way to shape an agent’s day-to-day behavior. Skills are extremely easy to adopt. In many cases, they are simply lightweight files that orchestrate scripts and commands.

How Degenerative AI Exposes Deepfakes

Detection tools now use so called degenerative AI to analyse every frame of a video, looking for traces of the models and methods used to generate or edit it. Generative AI produces the fake, degenerative AI hunts for subtle artefacts in pixels, giving investigators a way to flag manipulated content at scale. ⸻ For more information about us or if you have any questions you would like us to discuss email podcast@razorthorn.com. We give our clients a personalised, integrated approach to information security, driven by our belief in quality and discretion..

How to Protect Sensitive Data from LLMs | AI Data Privacy Demo

AI tools like ChatGPT, Gemini and other LLMs are powerful — but what happens when sensitive data gets sent to them? In this video, we demonstrate how Protecto AI prevents sensitive information from reaching LLMs using Masking APIs and Unmasking APIs. You’ll see a real workflow where user prompts containing credit card details and personal data are automatically masked before being processed by an AI model like Gemini 2.5 Flash.