AI Transforms Saudi Cybersecurity: Shifting from Audits to Real-Time Risk Management
ALKHOBAR: The cybersecurity landscape in Saudi Arabia is undergoing a significant transformation as artificial intelligence (AI) transitions from a supportive role in compliance processes to a central force in real-time risk management. This evolution is reshaping how organizations across various sectors approach governance, risk, and compliance (GRC), moving from periodic assessments to continuous operational integration.
Historically, many organizations regarded governance and compliance as infrequent, audit-driven activities, even as the landscape of cyber risks and regulations evolved rapidly. Jamal M. Labani, co-founder and CEO of Solidrange, highlighted the necessity for a paradigm shift, stating that the goal is to make compliance continuous rather than episodic. This change is especially pertinent as cyber threats escalate alongside the rapid adoption of digital technologies.
Saudi Arabia’s commitment to enhancing its cybersecurity framework is part of a broader digital transformation agenda outlined in Vision 2030. This initiative aims to bolster the nation’s resilience against cyber threats while fostering a robust regulatory environment.
Rising Costs of Data Breaches
According to IBM’s Cost of a Data Breach Report 2024, the average cost of a data breach in the Middle East has reached $8.75 million, significantly exceeding the global average. This alarming statistic underscores the urgency for organizations to adopt more proactive and integrated cybersecurity measures.
For years, compliance relied heavily on manual processes. Organizations would gather evidence, assess controls, and generate reports at predetermined intervals. However, this model is becoming obsolete. Labani stated that the aim is to develop AI-native employees who can handle governance, risk, and security work at scale, while human oversight remains essential for decisions.
AI systems are increasingly being embedded into operational workflows, enabling continuous risk monitoring and control enforcement. Labani noted that genuine AI deployment is integrated into daily operations rather than being merely a marketing feature.
The Role of AI in Governance
The integration of AI is fundamentally altering perceptions of governance. Labani described augmented governance as a process that transcends traditional paperwork and audit cycles, becoming part of daily operations with continuous visibility into controls, risks, and obligations. This transformation allows organizations to gain real-time insights into their risk exposure, facilitating timely responses before issues escalate.
As AI assumes a more prominent role in operations, accountability remains a critical concern. Labani remarked that AI adds value by taking on repetitive tasks, surfacing issues earlier, and providing teams with better visibility across the organization. However, he emphasized that accountability must remain human-centric, with clearly defined ownership, approvals, and audit trails.
Challenges in Implementation
Despite the advantages of AI, Labani cautioned that the challenge lies not in the technology itself but in its implementation. He pointed out that one of the biggest mistakes organizations make is treating AI as a shortcut rather than building it on strong processes, clear ownership, and reliable data. Organizations that fail to establish robust governance frameworks around AI risk creating new vulnerabilities instead of mitigating existing ones.
Furthermore, he warned against premature reliance on automation without adequate governance and human oversight. The regulatory environment in Saudi Arabia is accelerating the adoption of AI-driven cybersecurity solutions, as organizations seek to align with evolving compliance requirements.
Demand for Local Solutions
Saudi Arabia’s rapid digital transformation is raising the bar on cybersecurity, resilience, and regulatory maturity. Labani noted that this shift is creating stronger demand for solutions tailored to regulated markets. There is an increasing need for Saudi-built platforms that understand local regulations and cultural nuances, designed specifically for regulated sectors from the outset.
As regulations evolve, organizations are prioritizing systems capable of adapting in real-time, moving away from static compliance frameworks. The rise of AI is also influencing decision-making processes within cybersecurity and compliance teams.
The Future of Decision-Making
Labani highlighted that human decision-making will become increasingly vital as AI automates routine tasks and information gathering. Professionals are shifting their focus from data collection to interpretation and strategic judgment. He stated that people will spend less time collecting inputs and more time making judgment calls about priorities, risk, and the actions that best protect the organization.
This transition reflects a broader change in cybersecurity, where AI serves to enhance decision-making rather than replace it. Cybersecurity is evolving beyond mere attack prevention; it now emphasizes rapid and effective threat response. AI plays a crucial role in this shift, reducing response times, improving visibility, and embedding risk management into everyday operations.
As digital infrastructure continues to expand, the ability to manage cyber risk in real time is becoming a fundamental requirement. Organizations that adapt swiftly to these changes are poised to define the next phase of the cybersecurity sector.
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Published on 2026-05-29 06:20:00 • By the Editorial Desk
