Why most companies aren’t ready for AI in cybersecurity yet

Businesses demonstrate strong enthusiasm for applying AI in cybersecurity

Most companies are excited about the promise of AI. They see how it can strengthen their cybersecurity posture, automate responses, and free up internal teams to focus on strategic threats instead of routine monitoring. According to Zoho’s global survey of 3,300 cybersecurity professionals, 90% believe AI can make their defenses stronger. Yet, only 8% are actually ready to use AI-driven tools today. That’s a massive gap, an 82-point difference between belief and readiness.

This gap is telling. It shows that many organizations are thinking about the future without having solved the basics of how to get there. Their systems are often outdated, their budgets are stretched, and they lack the specialized skills needed to integrate AI into existing security frameworks. AI works best when it has access to clean, structured data, but many businesses still struggle with fragmented systems and inconsistent processes. Without a foundation of modern infrastructure, AI can’t deliver real results.

For senior leaders, the message is simple: interest is not enough. Belief must turn into action. Executives should prioritize modernization before scaling AI adoption. That means investing in flexible, cloud-ready infrastructures, retraining cybersecurity teams, and eliminating technical debt. Only when the groundwork is solid can AI live up to its reputation as a true force multiplier in enterprise security.

C-suite executives should avoid being swept up by the hype and instead focus on sustainable readiness. The 82-point gap between intention and execution is a strategic issue. Leaders must align AI investments with business continuity, data quality, and cultural preparedness. AI in cybersecurity is about enhancing it through better tools and smarter automation. The time to act is before external threats exploit your internal unpreparedness.

Inadequate visibility into identity ecosystems

Visibility into identity access, knowing exactly who has access to what, remains one of the weakest points in most organizations. Zoho’s study found that three-quarters of companies lack complete visibility into their identity systems. The breakdown is alarming: 36% have only partial visibility, 38% have limited visibility, and 14% have none at all. This means a large share of organizations cannot confidently say which users have permission to view, modify, or extract sensitive data.

This “identity visibility gap” is a fundamental management issue that leaves the door open to insider threats, compliance failures, and potential breaches. Businesses that don’t know who holds the keys to their digital assets are at higher risk, and this risk multiplies as organizations expand their use of cloud platforms and hybrid work models. Yet, most executives underestimate how fragmented their identity management systems have become.

To fix this, leaders need to view identity access management as a strategic priority. Full visibility means implementing systems that can continuously track access changes, flag abnormal patterns, and revoke unused permissions automatically. Without it, even the best cybersecurity frameworks remain exposed.

For business executives, tackling the identity visibility problem is about control and accountability. Every digital transformation initiative adds complexity to an organization’s access landscape. Maintaining strong identity governance ensures that technology scales safely. Leaders should commit to enhancing visibility, standardizing identity management practices, and introducing AI-based monitoring where appropriate. Visibility is the bedrock of cybersecurity discipline.

The absence of an established zero-trust strategy creates a pressing security gap

Many companies remain vulnerable because they haven’t implemented a zero-trust security model. This framework assumes that threats can exist both outside and inside the network, requiring continuous verification of every user and device attempting to access company systems. According to Zoho’s survey, around two-thirds of businesses still have no clear zero-trust strategy. Almost half of those plan to develop one within the next three years. That lag leaves a major security gap during which attackers can exploit weak credentials or unmonitored access points.

A zero-trust approach is about validation. It ensures that no user or system is automatically trusted simply because they are “inside” the company network. For C-suite executives, this concept matters because modern corporate environments are distributed, users connect from anywhere, and systems interact across multiple clouds. Without a strong zero-trust structure, every digital connection becomes a possible entry point for attackers.

The challenges are understandable. More than half of organizations reported that the rapid growth of identity ecosystems has made zero-trust difficult to manage. Another one-third said they lack the tools and processes to implement it effectively. Overcoming these challenges requires leadership focus and resource allocation. Executives must ensure that their cybersecurity strategy includes constant verification, segmented access, and automated response capabilities.

Leaders need to recognize zero-trust adoption as a long-term strategic move. Implementing it requires executive support, cross-department coordination, and a clear roadmap for migrating legacy systems into a more auditable and controlled environment. Inaction has a cost: as identity environments expand, so does exposure. Modern resilience depends on how quickly companies can establish comprehensive, policy-driven trust boundaries that evolve alongside their growth.

High cyberattack frequency combined with inadequate detection capabilities

Recent data shows that companies continue to face persistent and often undetected breaches. Zoho’s survey revealed that one-third of organizations experienced a cyberattack in the past year, while another 7% were uncertain if they had been attacked at all. That level of uncertainty signals weak monitoring, insufficient analytics, and reactive security postures. Many companies simply do not have continuous visibility into their networks, allowing small breaches or credential misuse to go unnoticed until damage is done.

Executives should view this as an operational failure. Cyberattacks affect every aspect of business continuity, from customer trust to regulatory compliance. Modern enterprises generate vast amounts of data, and without intelligent monitoring systems, detecting anomalies is nearly impossible at human scale. This makes automation, threat intelligence integration, and cross-platform visibility essential investments.

Improving detection is not just about acquiring new software, it’s about building maturity across the organization. That includes training, better incident reporting, and governance structures that make risk management a shared responsibility across departments. The confidence to identify, contain, and recover from cyber threats quickly is a sign of a secure and disciplined organization.

For C-suite leaders, proactive detection and rapid response capabilities are top priorities in building resilience. A company that doesn’t know whether it’s been attacked is already at a disadvantage. Executives should push for measurable improvements in detection, including near-real-time analytics and automated alerting. The faster threats are identified, the less damage they can cause. Security today depends not on luck but on clear visibility, preparedness, and continuous system awareness.

Organizations prioritize AI’s role in threat detection and automation of security protocols

Companies are increasingly focusing on AI-powered tools as a way to make cybersecurity operations faster, more precise, and more adaptive. Many see AI as the most effective technology for identifying abnormal behavior, enforcing security controls automatically, and analyzing user activity. Zoho’s global survey highlighted this trend clearly: 68% of respondents valued AI for detecting anomalies and threats, 61% for enforcing policies automatically, and 54% for analyzing employee behavior. Enterprise leaders understand the need for speed and accuracy in detection, and AI gives them both when properly implemented.

AI integration, however, requires disciplined execution. It is not enough to rely on automation alone. AI models, to be effective, depend on structured data, continuous updates, and human oversight. Without these, automated decisions can either overreact or fail to identify subtle threats. For organizations, the goal should be to use AI to complement human expertise, enabling quicker recognition of potential attacks and better prioritization of response efforts.

Executives must also recognize that AI-driven security has strategic implications beyond technical efficiency. It reduces operational burden, streamlines policy management, and enables consistent enforcement across complex infrastructures. Yet, those benefits only materialize when leadership ensures alignment between technology, workforce skills, and governance. Investing in people who can interpret AI outputs is just as critical as purchasing the technology itself.

For decision-makers, the next stage of AI adoption in cybersecurity should focus on control, transparency, and measurable value. The aim is not to replace security teams but to amplify their capabilities through data-driven insights. AI can significantly reduce the time between threat detection and action, but only when integrated thoughtfully into existing security processes. Responsible adoption, backed by clear policies, tested automation, and well-trained analysts, can turn AI from a promising tool into a strategic advantage in organizational defense.

Key highlights

• AI enthusiasm exceeds readiness: Most companies see AI as a critical force in cybersecurity, but only 8% are prepared to deploy it. Leaders should focus on upgrading legacy systems, developing internal capabilities, and aligning AI investments with clear security outcomes.
• Identity visibility is a core weakness: With 75% of organizations lacking full visibility into who has access to what, identity management must become a strategic priority. Executives should implement continuous monitoring and standardized access governance to close this major security gap.
• Zero‑trust adoption remains too slow: Two‑thirds of firms lack a zero‑trust strategy, leaving them open to credential‑based attacks. Leadership should treat zero‑trust frameworks as a foundational layer of resilience and invest in phased implementation now.
• Detection capabilities are lagging: One‑third of organizations suffered a cyberattack last year, and 7% don’t know if they were breached. Executives should accelerate deployment of automated detection systems and real‑time incident response processes to shorten the gap between compromise and containment.
• AI’s value lies in automation and insight: Companies view AI as key to faster threat detection and policy enforcement, but success depends on data quality and human oversight. Leaders should integrate AI selectively, pairing automation with skilled teams to ensure accuracy and accountability.