There’s this old proverb that’s stuck with me over the years: “Dig the well before you are thirsty.”

It really means you should prepare for the crisis before it arrives. In cybersecurity, it’s a mentality that’s long underpinned investment, strategy and board-level conversations. And by many measures, organizations appear to have already ‘dug’ that well. They feel ready.

New research even emphasizes how nearly eight in ten organizations (79%) are confident they’re prepared to handle a cyberwarfare attack, while a further 76% believe they’re ready to mitigate an AI-driven threat if it came their way.

Yet, reality tells a more complicated story. Confidence alone doesn’t translate into readiness. With the constant advancement of AI alongside ongoing geopolitical escalations, many enterprises are finding that traditional preparedness markers simply don’t translate into real resilience.

What we have is a readiness paradox forming within the industry. Organizations are realizing that the ‘well’ they believed was already dug isn’t quite as deep as they thought. So, where are they going wrong?

The real cost of mistaking preparedness for resilience

The root cause can be traced back to generative AI’s rapid rise and adoption. It’s a tool that dominates boardroom discussions, and, while defenders are racing to adopt it, attackers have already weaponized it at scale. The challenge is that ambition on the defensive side is still outpacing operational reality.

More than half of organizations (54%) that participated in our research recently admitted they lack the budget and resources required to fully invest in AI-powered security solutions. A further 55% say they don’t yet have the expertise needed to implement and manage those technologies effectively. In other words, most teams are still building the capabilities required to support the very tools they’re being encouraged to adopt.

At the same time, generative AI is accelerating the scale and size of the attack surface security teams are expected to defend. Modern enterprises now operate across sprawling ecosystems – everything from cloud infrastructure to third-party integrations – with each new connection introducing a potential entry point into an enterprise’s environment, creating a growing web of complexity.

That complexity is exactly what attackers exploit. Organizations are facing an average of 960 security alerts a day, creating an environment of constant triage where excessive alerts. These often lack the context needed to prioritize them, leading to slower responses, missed signals and general unpreparedness. It’s why we increasingly see headlines like China-linked hackers breaching numerous companies and government agencies in different countries or a single compromised account giving hackers access to millions of banking records.

Part of the problem ultimately comes down to how preparedness is often measured. For many organizations, readiness is still closely tied to compliance – passing audits, implementing required controls or meeting regulatory benchmarks. But compliance success doesn’t always translate into technical resilience.

The deeper challenge lies in how exposure continues to accumulate across increasingly complex digital environments. Until organizations develop a clearer understanding of how risk forms and concentrates across their digital ecosystems, preparedness will remain difficult to translate into genuine resilience.

From confidence to resilience

If organizations are to close the gap between perceived readiness and operational reality, they need a clearer understanding of where risk actually exists. This is where cyber exposure management comes in. At its core, it shifts the focus from reacting to incidents toward continuously understanding how exposure forms across the enterprise.

Consider a typical large enterprise with thousands of connected assets, spanning employee laptops, printers, operational equipment and more. A single phishing email could land in an inbox and compromise a user’s laptop. On its own, that device may seem like a low-priority alert. But, if that laptop had access to key shared drives, internal applications or operational systems, the attacker now has a pathway to move deeper into the environment and potentially reach sensitive data or critical services.

Without awareness of how every asset and system connects, security teams are left prioritizing alerts based on technical severity rather than operational consequence. And that’s what makes cyber exposure management so critical. Instead of treating vulnerabilities as isolated technical issues, it continuously maps assets, connections and dependencies across the environment to reveal how risk actually concentrates.

This awareness is built through continuous visibility. When organizations can identify assets in real time, understand their behavior, and analyze how they connect across the broader ecosystem, they gain a contextual overview of risk that traditional security tools simply struggle to provide.

Teams can prioritize exposures by business impact and address them quickly to protect the environment. This clarity helps them invest where it reduces risk the most, identify the systems most critical to operations, and focus defenses before disruptions occur

Digging deeper on preparedness

Modern digital ecosystems are simply too interconnected, too dynamic and too exposed for risk to ever be fully eliminated. It’s all about understanding where exposure truly exists and how quickly it can evolve. For leaders, this requires a shift in mindset, because preparedness is rarely revealed in moments of calm – it’s tested when pressure arrives.

So, before that moment comes, make sure the “well” is dug deep enough to withstand what lies ahead.