“Dig the well before you are thirsty,” the CyberScoop op-ed begins, using an old proverb to frame a growing dissonance between what organizations say about cyber readiness and what their operational realities actually support.
Confidence versus operational reality: the numbers
The piece summarizes research that finds striking levels of self-assurance alongside clear capability gaps. Nearly eight in ten organizations (79%) told the research they are confident they could handle a cyberwarfare attack, and 76% said they believed they could mitigate an AI-driven threat. Yet those headline figures sit beside contrasting admissions: 54% of organizations reported lacking the budget and resources to fully invest in AI-powered security solutions, and 55% said they do not yet have the expertise required to implement and manage those technologies effectively. Teams are operating under both expressed confidence and real constraints.
Generative AI: defensive ambition, offensive advantage
The op-ed draws a direct line from the rapid rise of generative AI to the readiness paradox. Generative AI is now a dominant boardroom topic, and defenders are racing to adopt it. At the same time, the piece asserts, attackers have already weaponized generative AI at scale. The result is that defensive ambition—plans to deploy AI-powered tools—has outpaced operational reality, constrained by budgets and the skills needed to run those tools.
Sprawling ecosystems, alert overload, and accumulating exposure
Modern enterprises, the piece argues, now operate across sprawling ecosystems—cloud infrastructure, third-party integrations, operational equipment and more—each new connection introducing another potential entry point. That complexity drives volume: organizations face an average of 960 security alerts a day, creating a constant triage environment. Alerts often arrive without the context needed to prioritize them by consequence, the op-ed warns, producing slower responses, missed signals and “general unpreparedness.”
The piece uses two familiar headline archetypes to illustrate the risks: China-linked hackers breaching numerous companies and government agencies in different countries, and a single compromised account giving attackers access to millions of banking records. Those examples underline how isolated technical failures can become systemic incidents when exposure across an environment is not understood.
Cyber exposure management as a practical shift
To bridge the gap between confidence and true resilience, the op-ed advocates cyber exposure management. Rather than treating vulnerabilities as isolated items, exposure management continuously maps assets, connections and dependencies to reveal how risk actually concentrates across an environment. Continuous visibility—identifying assets in real time, understanding behavior, and analyzing connections—provides the context security teams typically lack, the piece says.
With that contextual overview, teams can prioritize exposures by business impact instead of technical severity, invest where risk reduction will be most effective, and identify systems most critical to operations before disruptions occur. In short, the recommended shift moves organizations from reactive incident handling toward continuous understanding of how exposure forms.
What this means for technologists, procurement leaders, and policymakers
- Technologists and security teams: face the practical pressure of an average 960 alerts per day and the reality that many organizations lack the expertise (55%) to deploy advanced AI-driven defenses. Prioritization, the piece argues, must shift from raw alert triage to exposure-informed remediation.
- Procurement and budget holders: the research-cited shortfall in budget and resources (54%) means plans to adopt AI-powered security tools may not be executable unless funding and staffing keep pace with purchase decisions.
- Policymakers and regulators: the op-ed cautions that compliance and passing audits remain common measures of readiness, but compliance-oriented success does not automatically equate to technical resilience when exposure continues to accumulate across complex digital environments.
The readiness paradox, as laid out in the piece, ends on a managerial and strategic admonition: preparedness is rarely revealed in moments of calm—it's tested under pressure. Organizations that mistake confidence for operational capability risk finding their “well” too shallow when a crisis arrives. The specific remedy it prescribes is not a single tool but a sustained practice: continuous visibility and exposure mapping so teams can see where risk truly concentrates and act before the next headline drives that reality home.
