Latest cybersecurity reporting from selected sources.

OpenAI has disclosed details of GPT-Red, an internal automated red-teaming model that scales prompt injection vulnerability discovery with an aim to fix issues before the tools are deployed widely

Organizations have more visibility than ever. Growing tech stacks provide greater coverage, and network security teams are increasingly adopting AI and automation to help with routine tasks and reduce manual effort

Every AI tool, workflow automation, and productivity app your employees connected to Google or Microsoft this year left something behind: a persistent OAuth token with no expiration date, no automatic cleanup, and in most organizations, no one watching it. Your perimeter controls don't see it. Your MFA doesn't stop it. And when an attacker gets hold of one, they don't need a password

Imagine a world where hackers don't sleep, don't take breaks, and find weak spots in your systems instantly

In 2024, compromised service accounts and forgotten API keys were behind 68% of cloud breaches. Not phishing. Not weak passwords. Unmanaged non-human identities that nobody was watching

Threat actors have been observed weaponizing n8n, a popular artificial intelligence (AI) workflow automation platform, to facilitate sophisticated phishing campaigns and deliver malicious payloads or fingerprint devices by sending automated emails

“You knew, and you could have acted. Why didn’t you?”  This is the question you do not want to be asked. And increasingly, it’s the question leaders are forced to answer after an incident

Security, IT, and engineering teams today are under relentless pressure to accelerate outcomes, cut operational drag, and unlock the full potential of AI and automation. But simply investing in tools isn’t enough. 88% of AI proofs-of-concept never make it to production, even though 70% of workers cite freeing time for high-value work as the primary AI automation motivation. Real impact comes

In cybersecurity, the line between a normal update and a serious incident keeps getting thinner. Systems that once felt reliable are now under pressure from constant change. New AI tools, connected devices, and automated systems quietly create more ways in, often faster than security teams can react. This week’s stories show how easily a small mistake or hidden service can turn into a real

This week made one thing clear: small oversights can spiral fast. Tools meant to save time and reduce friction turned into easy entry points once basic safeguards were ignored. Attackers didn’t need novel tricks. They used what was already exposed and moved in without resistance

Non-human employees are becoming the future of cybersecurity, and enterprises need to prepare accordingly. As organizations scale Artificial Intelligence (AI) and cloud automation, there is exponential growth in Non-Human Identities (NHIs), including bots, AI agents, service accounts and automation scripts. In fact, 51% of respondents in ConductorOne’s 2025 Future of Identity Security Report

State-sponsored threat actors from China used artificial intelligence (AI) technology developed by Anthropic to orchestrate automated cyber attacks as part of a "highly sophisticated espionage campaign" in mid-September 2025

The danger isn’t that AI agents have bad days — it’s that they never do. They execute faithfully, even when what they’re executing is a mistake. A single misstep in logic or access can turn flawless automation into a flawless catastrophe

AI is changing automation—but not always for the better. That’s why we’re hosting a new webinar, "Workflow Clarity: Where AI Fits in Modern Automation," with Thomas Kinsella, Co-founder & Chief Customer Officer at Tines, to explore how leading teams are cutting through the hype and building workflows that actually deliver.The rise of AI has changed how organizations think about automation.

A widespread data theft campaign has allowed hackers to breach sales automation platform Salesloft to steal OAuth and refresh tokens associated with the Drift artificial intelligence (AI) chat agent

When Technology Resets the Playing Field In 2015 I founded a cybersecurity testing software company with the belief that automated penetration testing was not only possible, but necessary. At the time, the idea was often met with skepticism, but today, with 1200+ of enterprise customers and thousands of users, that vision has proven itself. But I also know that what we’ve built so far is only

It sure is a hard time to be a SOC analyst. Every day, they are expected to solve high-consequence problems with half the data and twice the pressure. Analysts are overwhelmed—not just by threats, but by the systems and processes in place that are meant to help them respond. Tooling is fragmented. Workflows are heavy. Context lives in five places, and alerts never slow down. What started as a

AI is changing everything — from how we code, to how we sell, to how we secure. But while most conversations focus on what AI can do, this one focuses on what AI can break — if you’re not paying attention

OpenAI has revealed that it banned a set of ChatGPT accounts that were likely operated by Russian-speaking threat actors and two Chinese nation-state hacking groups to assist with malware development, social media automation, and research about U.S. satellite communications technologies, among other things

We’ve been hearing the same story for years: AI is coming for your job. In fact, in 2017, McKinsey printed a report, Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation, predicting that by 2030, 375 million workers would need to find new jobs or risk being displaced by AI and automation. Queue the anxiety.  There have been ongoing whispers about what roles would be