Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-assisted vulnerability reporting with Shane Warden

Join us for this week's Defender Fridays as Shane Warden, Principal Architect at ActiveState, shares what it's actually like to be on the receiving end of AI-assisted vulnerability reporting and what open source maintainers are already dealing with that the rest of the industry will face soon. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

Device Trust MCP Server: Natural language queries for your entire fleet

Today we're releasing the 1Password Device Trust MCP Server, an open-source server that connects your Device Trust data directly to the AI tools your team already uses, like Claude or ChatGPT. It's available now for all customers on Device Trust Connect.

PDPA Compliance for Digital Products: What Singapore Businesses Need to Know in 2026

Singapore's digital economy continues to grow rapidly in 2026. Businesses are launching SaaS platforms, eCommerce websites, fintech portals, customer dashboards, and mobile applications faster than ever. At the same time, consumers are becoming more aware of how their personal data is collected, stored, and used. This shift has made compliance with Singapore's Personal Data Protection Act (PDPA) a critical requirement for every digital product.

How Bank Statement Analyzer AI Tools Are Simplifying Financial Management

Managing personal finances has become significantly more complicated over the last decade. Most people no longer rely on a single bank account or one payment method. Daily transactions are spread across debit cards, credit cards, subscriptions, online banking platforms, digital wallets, and international payment systems. As financial activity becomes more fragmented, understanding spending habits manually becomes increasingly difficult.

By AI, With AI, For AI: Building IT services in the AI-first era

MSPs want to grow. Yet the cost of growth keeps eating the margin that extra growth was supposed to deliver. Traditionally, more customers means more endpoints, more tools, more alerts, more billing entities, more compliance frameworks. Headcount scales with the work, but margins don't seem to keep up. That problem has a new shape now. AI is changing how every IT environment is built, run and protected and the speed at which they are done.

Frontier AI and the Demise of Hardware Security

The cybersecurity industry has long relied on a simple idea: find vulnerabilities, patch them, and measure success by how fast you close the gap. “Time-to-patch” became a badge of honor. That model no longer holds. The rise of Mythos-class Frontier AI Models introduces a different kind of threat. AI-driven, agentic attacks operate continuously, discover weaknesses automatically, and execute at a scale no human team can match.

Falcon AIDR Detects Threats at the Prompt Layer in Kubernetes AI Applications

AI is introducing a new class of threats that don’t look like traditional attacks and can’t be detected with conventional tools. The AI applications that organizations deploy in the cloud interact with large language models (LLMs) through prompts and responses. This prompt layer has emerged as a new attack surface, where risks like prompt injection and sensitive data leakage can go unnoticed.

Session on How much of Mythos based attacks can you prevent using modern IDAM techniques?

In this session at ETCISO IDAM Summit 2026, our Founder & CEO Mr. Anirban Mukherji discussed Identity Access Management (IAM), data protection challenges, and AI governance for modern organizations. He covers SSO, MFA, legacy system hurdles, DBT data flows, Shadow AI risks, and practical steps like patch automation, least privilege access, and AI agent controls. Drawing from the Abhimanyu Chakravyuh metaphor, he explains how strong IAM contains breaches. Learn about vendor sovereignty, geopolitical risks, and miniOrange's expertise in IAM, AI security, and privacy.

DevOps Threats 2026: GitProtect Reveals AI and Compliance Danger Zones

As DevOps environments become primary attack surfaces, protecting your intellectual property (IP) requires a data-driven understanding of the modern threat landscape. The 2026 “DevOps Threats Unwrapped Report” by GitProtect accelerates building your cyber awareness. It brings you the latest statistics, highlighting contemporary trends in DevSecOps. It also dives into dozens of real attacks and breaches affecting SaaS platforms in 2025 in 10 different areas.

EU AI Act Compliance Checklist - A Practical Guide for Businesses

An EU AI Act compliance checklist is a structured framework that helps organisations systematically identify, classify, and govern all AI systems within scope of Regulation (EU) 2024/1689. It covers AI system inventory, risk classification (unacceptable, high-risk, limited, and minimal), conformity assessment requirements, technical documentation (Annex IV), human oversight obligations, GPAI model obligations, and post-market monitoring.