Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to demonstrate your AI security posture: A step-by-step guide

As organizations integrate AI into their everyday systems and operations, the scrutiny on the risks it introduces is higher than ever. According to Vanta’s State of Trust Report 2024, more than half of organizations express concerns over security risks compounded by AI. ‍ The growing unease highlights a new business expectation: you must be able to prove your organization is using AI securely and responsibly.

Copilot Readiness - Tighten Data Controls to Scale Secure AI

Join us for Day 3 of the Netwrix Innovation Week Podcast Series, part of Cybersecurity Awareness Month. In this episode, Farrah Gamboa and Hanan Levy discuss how organizations can prepare for Microsoft 365 Copilot by strengthening governance around data and identities. They share insights on preventing oversharing, reducing excessive permissions, and closing compliance gaps before deploying AI tools.

AI: What's the future smell like? | AI Avenue Ep 6

In the season finale, Craig and Yorick take a big whiff of the future. What is our world going to look like? Which future do you want? The sit down with thought leaders from Cloudflare, @IBM, Science Fiction author, and a 9 year-old vibe coder/comedian named Fay. The future is bright if you want it to be.

Passive Income Meets Predictive Tech: Where Investing and AI Collide

For decades, the idea of passive income sounded like a dream - money flowing in while you slept, worked, or traveled. But in 2025, that dream is no longer reserved for the ultra-wealthy or early adopters. It's been democratized by data, automation, and artificial intelligence. We've reached the point where algorithms don't just trade stocks or suggest portfolios; they actually learn from behavior, sentiment, and even emotion. Predictive technology is reshaping how we invest, spend, and build wealth - creating a new intersection where automation meets autonomy.

We Need to Teach Our AIs to Securely Code

I have been writing about the need to better train our programmers in secure coding practices for decades, most recently here and here. At least a third of data compromises involved exploited software and firmware vulnerabilities and we are on our way to having over 47,000 separate, publicly known vulnerabilities this year. There are at least 130 new vulnerabilities learned and publicly reported every day, day after day. That is a lot of exploitation. That is a lot of patching.

Data Overload in the AI Era: Why Aggregation and Prioritization Are Non-Negotiable

AI was supposed to make our lives easier. Vendors promised it would cut through complexity, detect threats faster, and lighten the load on already overworked security teams. But if you’ve been paying attention, you know the truth: AI has given us more noise than ever. Corey Brunkow from Horizon3.ai joined Nucleus co-founder and CPO, Scott Kuffer, to unpack this problem during a recent webinar. AI helps attackers move faster, but on the defensive side, it’s created a flood of data.

How to Ensure Data Privacy with AI: A Step-by-Step Guide

AI sits in everyday workflows: assistants answering customer questions, copilots helping developers, and RAG apps searching internal knowledge. That means personal and sensitive data flows through prompts, vector stores, and integrations you didn’t have a year ago. Privacy can’t be an end-of-quarter compliance push anymore. It needs to live in your pipelines and apps the way logging and monitoring do.

Securing AI Applications in the Cloud: Shadow AI, RAG & Real Risks | Mend.io

What does it take to secure AI-based applications in the cloud? In this episode, host Ashish Rajan sits down with Bar-el Tayouri, Head of Mend AI at Mend.io, to dive deep into the evolving world of AI security. From uncovering the hidden dangers of shadow AI to understanding the layers of an AI Bill of Materials (AIBOM), Bar-el breaks down the complexities of securing AI-driven systems. Learn about the risks of malicious models, the importance of red teaming, and how to balance innovation with security in a dynamic AI landscape. What is an AIBOM and why it matters The stages of AI adoption.