Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

LLM red teaming is a proactive security practice that involves systematically testing large language models (LLMs) with adversarial inputs to find vulnerabilities before deployment. By using manual or automated methods to probe for weaknesses, red teamers can identify issues like harmful content generation, bias, or security exploits, which are then addressed through a continuous “break-fix” loop to improve the model’s safety and reliability.

A deep dive into the UK’s most significant cybersecurity breaches, examining how they happened, what went wrong, and the lessons organisations can learn. From household brands to public institutions, these incidents reveal the real cost of poor cyber resilience.

Every 1Password account tells a story. For many of our customers, 1Password is one of the first purchases they make after starting a company.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo If you are evaluating security platforms in 2026 based on which one has the best chatbot or can write a slightly better Python script for you, you’re fighting the last war. Attackers are already using AI to scale their operations with speed and precision. If your “AI SOC platform” is just a co-pilot that summarizes tickets while humans do all the work, you’re behind.

Acronis is proud to celebrate its longstanding partnership with CloudFire, an innovative Italian cloud service provider that has been transforming how small and medium-sized enterprises (SMEs) approach data protection and business continuity. Based in Reggio Emilia, CloudFire has established itself as a leader in cloud services that put simplicity and scalability at the forefront. In recognition of this commitment to excellence, CloudFire was named Service Provider of the Year 2025.

Predicting the future of technology is rarely straightforward. Just when a trend seems permanent, a new innovation or disruption shifts the landscape entirely. To help IT leaders navigate these changes, Last month 11:11 Systems hosted our annual webinar featuring a panel of experts from 11:11 Systems, Cohesity, and Hewlett Packard Enterprise. Our subject matter experts unpacked the trends that defined the past year and explored what lies ahead for 2026.

Just-in-Time access is widely accepted as a best practice for reducing standing privilege. The challenge for most organizations is not deciding to use JIT, but designing access policies that actually reduce risk without slowing engineers down. Security teams want tighter controls, stronger auditability, and less standing access. Engineering teams need fast, predictable access to do their work. When approval policies are too rigid, teams get blocked or work around controls.

You’re likely dealing with a cloud footprint that grows faster than your ability to govern it. New workloads appear overnight. Developers spin up serverless services without telling security. SaaS systems store sensitive data outside your visibility. And identities connect everything together, which means one compromised token can trigger a multi-cloud incident. This constant expansion creates a monitoring gap—one that attackers understand better than anyone.

What permissions are developers granting to Claude Code, and could those permissions pose a risk if the coding agent were exposed to malicious inputs? To answer this question, we turned to GitHub, the website where developers go to share their private configuration files. From Github we collected a dataset of 18,470.claude/settings.local.json files, each containing the permissions that a user granted to Claude Code for a software project.