SpyCloud Unveils Top 10 Cybersecurity Predictions Poised to Disrupt Identity Security in 2026
Forecast report highlights surge in identity-based threats, evolving threat actor tactics, and increased risk from AI and insider threats.
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Converge 2025 Tuesday keynote highlights: Building unstoppable momentum
Converge 2025 keynotes opened with a clear message: resilience isn’t enough in an era of complexity and AI-driven threats. Here’s how Tanium and its customers are shaping the future of Autonomous IT.
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.
Insider Threats in the Age of AI: What Security Teams Need to Know
Artificial intelligence has gone from buzzword to business tool almost overnight. Employees are rapidly adopting platforms like ChatGPT, Gemini, and Copilot to draft content, analyze data, brainstorm code, and accelerate productivity. But as AI becomes embedded in everyday workflows, a new category of insider threat is emerging—one that is harder to detect, harder to classify, and potentially more damaging than anything security teams have faced before.
When AI writes code, who fixes the flaws?
Veracode's Chief Security Evangelist Chris Wysopal on AI's Coding Secret: 45% of Code Has Vulnerabilities Chris (aka @WeldPond), Wysopal, a veteran in application security and former member of the legendary L0pht hacker group, shares practical insights on shifting security left while embracing AI-powered development. Whether you're a CISO, AppSec leader, or developer using Copilot/GitHub Copilot, Claude, or other AI coding assistants, this discussion will change how you think about secure AI adoption.
Intelligent workflows: SAP's approach to SOAR in the AI era
Join SAP’s CISO and Tines’ Co-founder for a conversation on how SAP is modernizing its SOAR workflows and building an AI SOC capability with Tines. As SAP scales its global enterprise cloud services, the security team is taking a new approach to workflow automation: combining deterministic playbooks with intelligent, AI-assisted workflows that improve speed, accuracy, and visibility across security operations.
Why 95% AI Fails #shorts #ai
AI On The Edge – Where Intelligence Meets Risk: Part 3 Building an enterprise AI app is NOT the same as building a traditional application, and this is why so many AI projects fail. In this conversation, we break down why 95% of enterprise AI implementations fail, what teams misunderstand about AI systems, and how to actually build AI that works in real organizations.
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.