Blog Posts

AI hasn’t solved cybersecurity, but it’s delivering real gains where it’s used with purpose. From faster detection and response to sharper vulnerability prioritisation, automation is quietly transforming SOC workflows. This piece breaks down what’s actually working today, what’s still hype, and how security leaders can measure true ROI.

AI is transforming cyber risk management, not by replacing humans, but by amplifying their impact. This post explains how AI improves pattern recognition, prioritization, and analyst efficiency within trusted frameworks like NIST AI RMF and ISO/IEC 23894 without ceding control to automation.

In today’s fast-moving threat landscape, having a complete inventory of assets isn’t enough, you need context as it relates to your business. Cloud instances spin up and vanish in minutes, SaaS sprawl hides critical exposures, and vulnerabilities go from “known” to “exploited” overnight. This article explores how Continuous Threat Exposure Management (CTEM) and AI-driven tools like Autnhive SAMI’s Strategic Priority Index (SPI) are transforming security from static asset tracking to dynamic, business-aware exposure management. By linking every asset to the business service it supports, and prioritizing based on financial, operational, and compliance impact, security teams can finally answer the question that matters most: What’s the real cost of not fixing this now?

Compliance doesn’t equal security. ISO certificates and NIST checklists may look impressive on paper, but real protection comes from proving your controls actually work continuously. This article explores why checkbox compliance creates a false sense of safety and how continuous validation, automation, and real-world testing turn frameworks like NIST, ISO, and NIS2 into living, defensible systems.

Supply chain attacks like SolarWinds and MOVEit exposed a hard truth: when you outsource work, you also outsource exposure. Yet many organisations still treat third-party risk as a compliance formality—collect a questionnaire, file the score, move on. This post reframes vendor risk as measurable liability with financial, operational, and reputational impact you can quantify. We explore why traditional assessments fail, how continuous monitoring and FAIR-based risk quantification reveal true exposure, and what boards, regulators, and insurers now expect. The takeaway: third-party cyber risk isn’t paperwork—it’s balance-sheet risk.

As enterprises adopt LLMs, chatbots, and AI gateways, attackers are exploiting these new surfaces. This blog helps leaders understand AI-specific risks and industry best practices for securing them.