Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

2026, the perfect time to reflect on how far technology has come and what lies ahead. Without a doubt, Artificial intelligence has gone from a niche to an omnipresent force, reshaping how we work, build, and defend. While organisations have speed-ran the adoption of AI and machine learning, cybercriminals have been just as fast to exploit them, and AI now powers business decisions, customer interactions, and – predictably – cyberattacks.

News AI Usage AI Risk Ria Manzanero Head of Marketing 18 December 2025 3 min read Share.

Modern browsers are among the most hardened mass consumer applications that we have access to. Decades of work have produced strict isolation between sites, safer defaults for cookies, strong TLS enforcement, controlled permissions, and a user experience that steers people away from phishing and fraud. The result is a trustworthy gatekeeper that keeps untrusted sites and attacker payloads confined to their own sandboxes.

Artificial Intelligence has rapidly evolved from a niche research field into an everyday workplace tool. In many cases, this adoption has outpaced previous technology waves, with employees across industries embracing AI to boost productivity in almost every aspect of their work and life.

AI Risk & Governance Sam Soares CRO 31 October 2025 5 min read Share.

In late 2022, AI exploded into the mainstream with OpenAI’s ChatGPT, starting an AI-fuelled shift in both everyday life and the cyber threat landscape. Just as quickly as everyday users rushed to adopt the technology, so did threat actors. From generating phishing pretexts to writing malware and crafting deepfakes, AI systems have become both a new tool and a new target.

Executives everywhere are under pressure to deploy AI fast — but our recent roundtable on AI risk, hosted by TEISS, revealed a growing concern: AI adoption is outpacing governance, and organisations are taking on more risk than they realise. While most enterprises have mature technical controls, many are missing visibility into how AI is being used — and by whom.

Despite having modern DLP and CASB tools in place, they lacked the behavioural insights and real-time context needed to guide employee use of GenAI tools. Shadow AI use was growing, and SecOps lacked clear visibility into which incidents required intervention.

When a fast-scaling digital bank began seeing widespread employee adoption of generative AI tools like ChatGPT and Gemini, their security team faced a growing dilemma: how do you protect sensitive data without shutting down innovation?

It seems like Artificial Intelligence (AI) has suddenly appeared in everything, everywhere, all at once. What feels like “five minutes ago”, there was “pre-AI life”, and now we have AI assistants that speak like real people, apps that create images, music, and video from nothing, and AI agents that do work for us.