Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

Cybersecurity in 2026 will be shaped by one overarching reality: complexity is outpacing traditional security models. As digital environments grow more distributed and attackers become faster and more automated, organizations will be forced to rethink how they understand and manage risk. Here are the key cybersecurity predictions for 2026—and why preparation matters.

With so many applications and user accounts to govern and manage, IGA is often a headache that keeps you up at night and plagues your organization with unused or less-used credentials that put your company at risk. One Identity Manager release 10.0 offers new value to make your job easier, your identity landscape safer and provides the flexibility you need to support your business as it grows and evolves.

99% of organizations faced API security issues in the past 12 months. Yet only 10% have an API posture governance strategy in place to actually defend against them. What makes this worse is that 95% of API attacks now come from authenticated sources. Traditional defenses built around authentication are failing. Shadow APIs and zombie APIs operate undetected while businesses manage an average of 660 endpoints with little visibility.

AI-generated phishing emails now achieve a 54% click-through rate against just 12% for human-crafted messages. No, that is not a typo! With AI, attackers are now 4.5x more effective at breaching and bleeding your defences. Secondly, phishing attacks have surged by over 1,265% since ChatGPT’s launch in 2022, enabling cybercriminals to launch campaigns at unprecedented scales. The harsh reality?

Many attacks start without drawing attention. Nothing looks obviously wrong at first. It could be through a reused password or an exposed service that allows attackers to gain access to their systems. Sometimes, a well-crafted email is all that's needed. By the time security teams notice something is wrong, attackers have already been inside for days or weeks. This poses a huge challenge for many security teams. They often use multiple tools and conduct manual checks to find signs of intrusion.