Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A New Voice in InfoSec. What Nobody Tells You About Breaking Into the Industry

What does it actually look like to break into InfoSec from the outside, with no technical background, no industry contacts and no idea what half the acronyms mean? Welcome to Razorwire, the podcast where we share our take on the world of cybersecurity with direct, practical advice for professionals and business owners alike. I'm Jim and in this interview episode, I'm joined by Irina Sordiya, a GRC and compliance professional based in Montreal who came into information security from a finance background.

The Risk Mindset That Will Get You Hired in Cybersecurity #GRC #risk #jobs

GRC cybersecurity careers rely on far more than knowing policies, frameworks and technical terminology. Risk thinking, communication, trust and the ability to work with different stakeholders sit at the centre of a career spanning security auditing, compliance and AI governance.

AI Security vs. Traditional Data Security: Key Differences

Every security architecture review this year eventually lands on the same question: does the existing data security stack already cover AI, or does AI security need its own budget line? The instinct to treat this as one more tool to evaluate and buy is understandable. It is also the wrong framework for modern data security. Traditional data security and AI security answer different questions about the same data. One assumes data stays inside known applications and moves through known channels.

AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries | A10 Networks

AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries AI agents are more than just another virtual machine—they are autonomous entities delegated with power, introducing entirely new trust boundaries into modern network architectures. In this discussion, A10's Arjoyita Roy and Jamison Utter discuss why traditional security controls fall short when managing AI agents and why cybersecurity professionals must design new security perimeters and controls around these evolving AI workloads.

How to detect and govern shadow AI in your organization

To detect and govern shadow AI, organizations need to discover which AI tools employees are using, understand who is using them and why, then turn that visibility into an enforceable AI app policy. The goal is not only to find unsanctioned AI use, but to control which GenAI and AI-enabled apps are allowed, blocked or monitored across the organization.

Best DLP Tools in 2026: Top 14 DLP Vendors Compared

Your data leaks in ways you don't expect. A developer pastes source code into ChatGPT. A finance employee emails a payroll spreadsheet to a personal inbox. A salesperson uploads a client list to a personal Google Drive before their last day. All of these are breaches, rather, potential breaches. That's exactly why data loss prevention (DLP) tools exist. But picking the right one? That's where it gets complicated.

Top 10 Data Loss Prevention Best Practices to Secure Your Data

Building a DLP strategy has two failure modes. The first is skipping the planning and going straight to deploying a tool. The second is over-planning and never actually deploying anything. These 10 Data Loss Prevention Best Practices cover the full arc. From picking the right DLP tool, setting up your program properly, and keeping it from drifting once it's live. Teams that get DLP right tend to follow roughly the same best practices.

OT Downtime Estimation Workshop: Build Your Recovery Business Case

Unplanned operational technology (OT) downtime can have a significant financial impact, but how much could it cost your organization? In this practical workshop, learn how to estimate the cost of OT downtime using the Acronis ICS / OT Downtime Calculator and build a business case for faster recovery. You'll discover how to apply industry benchmarks, model recovery scenarios, and understand how reducing recovery time can help minimize operational risk and downtime-related losses.