Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

GPT5 Pulls Ahead on Secure Code While Rivals Stall

AI coding assistants are evolving quickly. But are the latest models any better at writing secure code? Our October 2025 analysis brings fresh data on how newer large language models (LLMs) stack up against their predecessors, and the results reveal both progress and persistent gaps. This update builds on our July 2025 GenAI Code Security Report, which tested over 100 LLMs across four major programming languages.

Attackers are integrating LLMs directly into malware #cybersecurity #ai #malware #infosec #podcast

Threat actors have moved beyond using AI to speed up operations. They're now embedding large language models directly into malware. In this Intel Chat, Matt Bromiley and Chris Luft discuss Google's Threat Intelligence Group findings on malware families like PromptFlux and PromptSteal. These threats query LLMs mid-execution to dynamically alter behavior, obfuscate code, and generate system commands on demand.

Trust at enterprise scale: Introducing Vanta's Agentic Trust Platform

Building trust is critical for today’s most ambitious businesses. Why? Because companies viewed as trustworthy grow up to four times faster. Yet earning and proving trust remains harder than ever. ‍ As organizations scale, their attack surfaces grow—and so do their tech stacks. Every new tool meant to increase security often fragments it, leaving teams buried in overhead and blind spots.

Egnyte Collaborates With Microsoft to Power Enterprise AI With Microsoft Agent 365

Egnyte is excited to announce a new collaboration with Microsoft, integrating Egnyte’s data governance and secure collaboration expertise with Microsoft Agent 365 for AI agents. This collaboration is designed to transform how organizations empower their employees, enhancing productivity and decision-making through secure, governed AI. The enterprise landscape is rapidly evolving.

Admin MCP

Apono announces the launch of our Admin MCP (Model Context Protocol), a new tool that simplifies organizational access management through natural language queries. The product works with MCP-supported clients like Claude and Cursor, allowing administrators to quickly answer access questions without manually navigating through dashboards and permissions. This demo shows how users can instantly check if someone can access database resources or get comprehensive audit reports for AWS production accounts.

Comparing NER Models for PII Identification

Identifying and redacting personally identifiable information (PII) is a critical need for enterprises handling sensitive data. Over 1000 NLP models and tools claim to solve this problem, but an infinite number of options opens a paradox of choice. We compiled this comprehensive comparison that examines ten notable PII detection solutions – their features, use cases, pros/cons, and reported success rates.

The Shadow AI Disconnect CISOs Need to Know

Our new State of Shadow AI Report has just uncovered a critical disconnect that all security leaders need to be aware of. We all know shadow AI is exploding, and that blocking is the most logical response. How else are you going to regain control? But our data shows this is backfiring: This is where blocking can get dangerous. It doesn't stop AI; it just limits your visibility. Download the full (ungated) shadow AI report to see all the data.

Agentic AI and Identity Sprawl: The Convergence Redefining Cyber Risk

Welcome to Data Security Decoded. In this episode, Caleb Tolin welcomes back Joe Hladik, Head of Rubrik Zero Labs, for a focused look at how identity-driven threats are redefining modern security. Drawing insights from Rubrik Zero Labs’ latest report, Identity Crisis: Understanding and Building Resilience Against Identity-Driven Threats, Joe explains why identity has become the new perimeter in an era where hybrid and multi-cloud environments dominate.

Comparing Best NER Models for PII Identification

Identifying and redacting personally identifiable information (PII) is a critical need for enterprises handling sensitive data. Over 1000 NLP models and tools claim to solve this problem, but an infinite number of options opens a paradox of choice. We compiled this comprehensive comparison that examines notable PII detection solutions – their features, use cases, pros/cons, and reported success rates.