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SaaS supply chain – the new cyber weak link

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Software-as-a-Service (SaaS) is no longer just an IT choice. It has become the operating system of business itself. From Salesforce to Workday, Microsoft 365 to Slack, the SaaS layer now underpins collaboration, analytics and decision-making. However, while businesses enjoy the convenience, scalability and cost efficiency that these platforms provide, many overlook the hidden web of interconnected risks beneath them.

The invisible workforce – rising machine identity risk

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Most people understand what it means to protect a human identity. The dangers of someone impersonating you online or stealing and cloning your card are immediately obvious. Today, organisations rely on thousands of non-human identities. These identities belong to software applications, cloud workloads, APIs, bots and now AI agents.

Cloud security demands a smarter, managed approach

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As more businesses move their operations to the cloud, securing these environments has become a strategic imperative. Fortinet’s 2025 report shows that 35% of IT security budgets are now dedicated to cloud protection. Meanwhile, Gartner notes that the cloud security market expanded by 24% last year alone.

Continuous ASM – scalable digital security resilience

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Every organisation today operates in a complex, interconnected digital environment that extends far beyond its traditional perimeter. Cloud workloads, Software-as-a-Service (SaaS) applications, remote devices and third-party integrations create countless entry points for attackers. While most businesses focus on securing the “front door”, the real risk often lies in forgotten side doors, service hatches and unguarded windows that make up the modern attack surface

Multi-cloud AI security – finding order in the chaos

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Artificial Intelligence (AI) is transforming how organisations innovate, serve customers and operate at scale. When these workloads stretch across multiple cloud providers, complexity rises sharply. Multi-cloud promises flexibility and resilience, yet it also introduces a fragmented security landscape. Many organisations are still struggling to control it, highlighting the importance of multi-cloud AI security.

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