Protecting data throughout its lifecycle is becoming the defining enterprise security challenge as AI, cloud adoption, regulatory demands and distributed work reshape the regional risk landscape
A bank introduces Microsoft Copilot to improve productivity. A government department moves critical workloads to the cloud. A manufacturer shares confidential designs with hundreds of suppliers across multiple markets. None of these organisations necessarily has a malware problem. Each one, however, faces a data problem.
Sensitive information is no longer confined to databases, corporate networks or managed endpoints. It moves between employees, cloud platforms, software-as-a-service applications, partners, suppliers and AI systems. Every movement creates value for the business, but it can also reduce visibility and weaken control. This shift is changing the foundations of enterprise security across the Middle East. Governments and businesses are accelerating digital transformation while pursuing some of the world’s most ambitious cloud and AI programmes. Regulatory expectations surrounding privacy, sovereignty and accountability are also becoming more demanding.
Infrastructure protection remains essential, but it can no longer answer the most pressing questions confronting security leaders.
An organisation may secure its network, endpoint and user identity, yet still lose control of a sensitive document once it has been downloaded, emailed or shared outside the enterprise.
Five powerful forces are bringing this challenge to the forefront.
Five forces reshaping enterprise security
AI is changing how organisations use data
AI is altering how information is accessed, analysed, generated and shared across the enterprise. Employees can use generative AI tools to summarise documents, develop presentations, analyse customer records or create new content from existing corporate information. AI agents are also beginning to operate across applications and workflows, performing actions that previously required direct human intervention.
The fundamental challenge is not AI itself. It is the scale and speed at which AI increases data access, movement, and potential exposure.
Traditional controls were designed primarily around human users accessing known systems. AI introduces new questions. Security teams must understand which models and agents can access sensitive information, whose authority is being used, how the information is transformed and whether the resulting content inherits the protection applied to its source.
Blocking AI is unlikely to provide a sustainable answer. Organisations need governance structures that enable employees and business units to use the technology productively without surrendering control of intellectual property, customer information or regulated data.
AI has made data governance a business priority.
Data sovereignty has become a boardroom discussion
Data sovereignty is increasingly influencing decisions about cloud architecture, workload placement, cross-border collaboration and third-party access.
Organisations operating in Saudi Arabia, the UAE, Qatar and other regional markets must understand where regulated information resides, who can access it and whether it can move across jurisdictions. Compliance can no longer be treated solely as a legal or security department responsibility because regulatory requirements affect wider technology and business decisions.
Boards also recognise that data exposure can result in financial loss, operational disruption and reputational damage. The consequences become particularly serious when customer information, intellectual property, government records or strategically important business data are involved.
Enterprise leaders are therefore asking for clearer evidence of control. Knowing where a server is located may satisfy one part of the requirement, but it does not necessarily explain what happens when a document is downloaded, copied, forwarded or accessed by an external party.
Sovereignty must extend beyond the location of the infrastructure to the governance of the information itself.
Compliance has become continuous
Annual assessments and static policy documents cannot reflect the speed at which modern data environments change.
Information is continually created, copied, modified and shared. User permissions evolve, employees change roles, suppliers join or leave projects, and cloud applications are introduced across the business. AI adds another dynamic layer by consuming data and creating new outputs from it.
Regulators and auditors increasingly expect organisations to demonstrate how controls operate in practice. Security teams need reliable evidence showing how sensitive information was classified, who accessed it, what actions were permitted and whether protection remained active after it was shared.
This requires continuous visibility, enforcement and reporting. Compliance must become an operational state rather than a periodic exercise undertaken before an audit.
Work happens everywhere
Enterprise work now takes place across offices, homes, cloud platforms, SaaS applications, partner environments and mobile devices.
A single document may move from an enterprise content management platform to email, a collaboration application, a supplier portal and an employee’s downloaded files. Its business value and sensitivity remain unchanged even though its location and users have changed repeatedly.
The traditional perimeter has consequently lost much of its defining role. Network and endpoint controls can protect specific environments, but collaboration frequently requires information to move beyond them.
Security architecture must recognise this operational reality. Protection needs to remain effective across changing locations, applications and ownership boundaries without making legitimate collaboration impractical.
Data moves faster than security
Employees, partners, AI tools, cloud services, email, removable devices and downloads can move information in seconds.
Security teams often depend on disconnected products to discover, classify, monitor and protect this data. Policies may need to be recreated across separate systems whenever information moves from one environment to another.
The result is fragmentation. An organisation may have a clear data security strategy at the leadership level but execute multiple versions of it across different products, teams and workflows.
Discovery alone cannot close this gap. A report may show where sensitive data was found, but it does not ensure that the information remains protected once it moves. Effective security must connect knowledge about the data with the ability to apply and maintain appropriate controls.
What does modern enterprise security look like?
Traditional security strategies focused on three central questions:
- Is the network secure?
- Is the endpoint secure?
- Is the user’s identity secure?
Those questions remain relevant, but today’s leaders must ask several more:
- Where is the organisation’s sensitive data?
- What does the information contain?
- Who owns it and who can use it?
- What actions can users or AI systems perform?
- Does protection remain active after the data is shared?
- Can the organisation demonstrate compliance?
- Can access be changed or withdrawn when the risk changes?
Answering these questions requires security to become more closely aligned with the data itself.
Security must follow data
Modern organisations need continuous visibility into where sensitive information resides, what it contains, how it is being used and whether it remains protected throughout its lifecycle.
Discovery provides an important starting point, but it is not sufficient on its own. Classification can identify sensitivity, but a label does not automatically prevent inappropriate use. Compliance reporting can highlight risk, but it may arrive after the information has already been exposed.
Data Security Intelligence brings these capabilities into a connected operating model through which organisations can discover, classify, protect and govern information wherever it travels.
The model follows a clear progression:
- Understand what data exists and where it resides.
- Determine its sensitivity, ownership and business value.
- Evaluate its context, usage and risk.
- Apply protection that remains with the information.
- Continuously enforce policy and demonstrate compliance.
Context is critical. A file’s location alone does not reveal its significance. Security decisions should consider its content, owner, users, purpose and regulatory requirements.
Persistent protection extends those decisions beyond the organisation’s immediate infrastructure. Controls can define who may open information, whether it can be edited, printed or forwarded, and the conditions under which access remains valid. Permissions can also be amended or revoked after a file has been distributed.
This approach shifts enterprise security from protecting only the containers around data to governing the information throughout its lifecycle.
Building a data-centric security strategy
Across banking, government, manufacturing and other highly regulated industries, Seclore has helped organisations protect sensitive information long after it leaves the firewall.
The company’s approach is based on a simple principle: security should move with the data.
Founded in 2011, Seclore developed its business around the challenge of maintaining control after sensitive information moves beyond traditional network, system and perimeter-based defences. The company now supports more than 500 enterprises and government organisations across over 40 countries.
Seclore’s Data Security Intelligence approach connects discovery, intelligent classification, persistent protection, continuous enforcement and visibility. It is designed to help organisations understand their data, assess its sensitivity and context, govern its use and produce evidence of control.
Policy-based protections can specify who may access information, what actions are permitted and under which conditions. Controls can include time limits, device requirements, IP restrictions and geofencing. Access can be modified or withdrawn even after information has been shared.
The architecture is also designed to operate alongside established enterprise technologies, including data loss prevention, cloud access security brokers, data classification, email security, customer relationship management, enterprise resource planning, content management and Microsoft 365 environments.
This interoperability matters because data-centric security is not intended to replace every existing security investment. Its role is to connect information context with persistent control across the environments through which enterprise data moves.
Interview excerpts
Dr Vishal Gauri, Chief Executive Officer, Seclore, explains why security architecture must evolve from infrastructure-centric defence to continuous, data-centric governance.
How are security and compliance pressures changing the way enterprises approach data protection?
Enterprise security was built for a time when organisations had far more control over where data lived and how it moved. That model no longer reflects how business operates. Sensitive information now moves across cloud platforms, partners, devices, applications, and jurisdictions, yet the organisation remains accountable for protecting it. Regulations in markets such as the UAE and Saudi Arabia are placing greater pressure on data handling, sovereignty, access, and proof of control. This is pushing enterprises to rethink security architecture itself. The focus is moving from protecting networks and systems around the data to applying security, policy, and governance directly to the data, so control remains intact wherever that information travels.
Why does Data Security Intelligence represent an operating model rather than another security product category?
Traditional enterprise security relies on fragmented tools that discover risk, generate alerts, and enforce controls in separate workflows. Data Security Intelligence brings these functions together across the data lifecycle, from discovery and contextual understanding to protection, governance, and proof. The intelligence comes from understanding what the data means, its business value, sensitivity, ownership, usage, and risk context, rather than depending only on predefined rules. That context allows security decisions and controls to reflect what really matters to the organisation. By combining context with an integrated lifecycle, Data Security Intelligence becomes an operating model for how enterprises continuously understand, govern, and protect data, rather than another isolated security tool.
How can organisations move from periodic compliance exercises to continuous data governance and demonstrable control?
Periodic compliance audits are fundamentally insufficient in an era characterised by rapid data sprawl and continuous, evolving regulatory scrutiny across global jurisdictions. Organisations must transition to advanced platforms that automatically generate real-time telemetry on exactly how data is accessed, shared, and utilised across the extended enterprise. By leveraging a Data Security Intelligence framework, enterprises can translate raw file-activity events into structured, audit-ready evidence that proves adherence to frameworks like the ECC, DCC, PDPL, NIAS, etc. This continuous, cryptographic proof of control transforms compliance from a reactive, manual checkbox exercise into a proactive, demonstrable state of continuous business readiness.
What does Seclore’s evolution reveal about the wider shift from infrastructure-centric to data-centric security?
Seclore was built around a simple observation. Sensitive data eventually moves beyond the systems and networks an organisation controls. Our early focus was persistent protection, making security travel with the information itself rather than relying only on the environment around it. The market has now moved much closer to that reality. The challenge has expanded from protecting known data to discovering it, understanding its context, acting on risk, and proving control. Seclore’s evolution reflects that broader shift in enterprise security.
The focus is moving from securing locations to governing data throughout its lifecycle, across cloud platforms, partners, devices, applications, and external ecosystems where traditional infrastructure controls no longer provide enough assurance.
How will AI change the way enterprises discover, govern, and protect sensitive information?
AI changes both sides of the data security equation. It can help organisations understand sensitive information with far more context, but it can access, transform, and redistribute information at a speed that traditional controls were not built to govern. Security teams will need to know what AI systems can access, under whose authority, for what purpose, and what happens to sensitive information once it enters an AI workflow. They will need stronger links between discovery, classification, policy, and enforcement. The goal should not be to block AI. It should be to create boundaries that let enterprises use AI productively without giving up control of their most valuable data or losing the ability to prove how that data was used.
Turning data protection into business value
Justin Endres, Chief Revenue Officer, Seclore, discusses the commercial importance of persistent control and the role partners play in delivering data security across global markets.
What business risks are encouraging enterprise leaders to place data security higher on the corporate agenda?
Today’s business leaders are acutely aware that modern commercial workflows require frictionless, continuous collaboration across highly complex, global supply chains and partner networks. However, this necessary third-party sharing exponentially increases the risk of data leakage, the theft of critical intellectual property, and severe regulatory penalties. At the same time, regulatory expectations around privacy, sovereignty, and accountability are rising across global markets. Boards are paying closer attention to the financial, legal, and reputational impact of data exposure, especially where third parties are involved. That combination is moving data security higher on the corporate agenda. Leaders are no longer asking only whether systems are secure. They are asking whether the business can keep control of sensitive data wherever it goes and prove that control when needed.
How can CISOs demonstrate the commercial value of persistent data protection to boards and business leaders?
The strongest business case starts with what security allows the organisation to do. Persistent data protection lets a company share intellectual property, customer information, financial data, and other sensitive assets with the people who need them without surrendering control once that information leaves the organisation. That can reduce the risk attached to collaboration, make regulatory evidence easier to produce, and give business teams more confidence to work across partners, markets, and cloud platforms. CISOs should connect those outcomes to the priorities boards already care about, such as resilience, customer trust, expansion, and operational continuity. That creates a stronger commercial conversation than measuring security only through the number of attacks blocked or incidents prevented.
What prevents organisations from translating data security strategies into consistent enterprise-wide execution?
The gap is not a shortage of tools. It is that the tools act on systems and the strategy is about data. Every time sensitive data moves from the mail platform to the file store to the partner portal, the policy has to be recreated by a different team in a different product. Enterprises do not fail to execute their strategy. They execute forty slightly different versions of it and call the difference an exception.The gap persists because the incentives reward one half of the programme and punish the other. Discovery produces a report, and nobody objects to a report. Enforcement produces a blocked user, and a blocked user produces a call to the CIO. Security leaders are reading that asymmetry correctly. AI has removed the option of leaving the gap open. Generative tools are the first consumers of enterprise data that inherit none of its controls.
The test in 2026 is not whether a strategy can find the data. It is whether the control follows the data into whatever is produced from it.
How are strategic partners helping Seclore scale adoption and address complex customer requirements across global markets?
Strategic channel partners are crucial to translating our global technological vision into localised, highly impactful execution. These partners provide the critical on-the-ground technical engineering expertise, consultative account management, and extensive channel networks required to navigate profound regional nuances. That matters in markets where sovereignty requirements, deployment models, buying processes, and customer priorities can differ greatly from one country to the next. Partners help us address those differences without losing consistency in how the technology is delivered or supported.By integrating Seclore into broader security ecosystems alongside other best-of-breed tools, our partners help customers rapidly architect and deploy comprehensive, end-to-end data protection frameworks. This collaborative, deeply integrated ecosystem ensures that we can scale efficiently while precisely addressing the specific data sovereignty and compliance mandates of each distinct market.
What role will Seclore’s Middle East and Africa business play in the company’s wider growth strategy?
The Middle East and Africa is where Seclore learned how to sell data protection into a sovereignty-first market, and that lesson now shapes how we operate everywhere else. The UAE and Saudi Arabia are running national AI and digital programmes at a pace that puts data control at the centre of the CISO’s agenda rather than at the edge of it. Africa is earlier in that curve, but the regulatory direction is the same and the partner networks are forming now. We have been building customers, partners, and local presence here for years. The region is not only a hyper-growth market for us; it is the reference model for the rest of the world.
Advancing data-centric security across META
Uraz Farukh, Senior Vice President for META at Seclore, outlines how sovereignty requirements, AI adoption and partner development are influencing the regional security market
How long has Seclore participated in GISEC?
Seclore has maintained a proud and consistent presence at GISEC over the years, recognising the trade show as the premier platform for cybersecurity dialogue across the Middle East and Africa. As our organisation’s footprint has expanded over the last decade, most recently marked by the opening of our new regional headquarters in Riyadh, our participation has naturally evolved to reflect a deepening commitment to this diverse market. Today, GISEC serves as a critical touchpoint to connect directly with enterprise leaders and government regulators who are actively navigating complex digital transformations. We approach this year’s event as an opportunity to reinforce our foundational role in shaping regional data sovereignty and enterprise resilience.
What will Seclore demonstrate at GISEC?
At GISEC 2026, we are showcasing how organisations can achieve absolute trust and control over their sensitive data through the unified Seclore ARMOR platform. Visitors will experience our latest innovations in DSPM, Classification, and EDRM, which work in tandem to ensure critical information remains protected wherever it travels. We are also going to illustrate how enterprises can safely scale AI operations without risking intellectual property exposure or violating compliance mandates. Our demonstrations will highlight how persistent, data-centric security translates directly into seamless regulatory compliance and uncompromised structural resilience.
How does an event like GISEC help Seclore shape security and catalyse a regional vision of protecting businesses to remain resilient?
GISEC acts as a vital convergence point where policymakers, technology innovators, and enterprise leaders collaboratively address the region’s most pressing cyber vulnerabilities. For Seclore, these high-level interactions provide invaluable market intelligence that directly informs how we refine our data security intelligence platform to meet evolving enterprise sovereign needs. By engaging in these dialogues, we actively advocate for a fundamental paradigm shift away from perimeter-only defenses and toward structurally resilient, data-first protection strategies. This collaborative environment ultimately catalyses our vision of empowering regional organisations to innovate and operate fearlessly, knowing their most critical assets are secure by design.
Which security, compliance and data sovereignty requirements are having the greatest influence on organisations across META?
Across the META region, the rapid implementation of stringent data sovereignty frameworks, such as EDD, DCC, PDPL, etc. and emerging regulations across Africa, are fundamentally reshaping enterprise security architectures. Organisations are now under immense pressure to prove that sensitive information not only resides within legal boundaries but is also strictly governed against unauthorised access or cross-border leakage. Additionally, the rapid integration of AI into enterprise workflows has created an urgent mandate for advanced data masking and tokenisation to prevent intellectual property exposure. These compounding compliance mandates are driving a definitive market shift toward continuous data posture management, where granular protection is permanently embedded into the data itself.
How has Seclore’s presence and customer base across the Middle East and Africa developed in recent years?
Over the past decade, Seclore has experienced exponential growth across the Middle East, evolving from our initial foundational successes in Saudi Arabia and Bahrain into a comprehensive footprint that now spans Africa and Turkey. The recent launch of our regional headquarters in Riyadh and the rollout of our Secure 2030 initiative underscore a deep, localised commitment to this market’s ambitious digital transformation goals. As a result, our customer base has rapidly diversified, encompassing top-tier financial institutions, defense agencies, and major telecom operators who demand the absolute highest standards of digital trust.
Today, we are widely recognised as the premier partner for data-centric security, empowering governments and enterprises across both established and emerging META markets to secure their digital futures.
How is Seclore expanding its regional partner ecosystem to support customers across established and emerging markets?
A robust, highly specialised channel ecosystem is central to our strategy for delivering tailored, sovereign-ready data security across the highly diverse META landscape. We are actively deepening our alliances with premier regional system integrators and global technology partners. In emerging markets such as Kenya, Ethiopia, Uganda, Nigeria and the broader African continent, we are making strategic investments in partnerships with our local partners that build local cyber capacity and support the unique compliance journeys of those rapidly growing economies. By closely integrating with complementary solutions, we empower our partners to deliver comprehensive, end-to-end resilience to our joint customers.
What priorities will shape Seclore’s regional growth following GISEC 2026?
Following GISEC 2026, our primary focus will remain on accelerating the adoption of the Seclore ARMOR platform to help regional enterprises successfully navigate the intersection of artificial intelligence enablement and stringent data sovereignty. We will continue to make heavy investments in our localised operations, particularly in supporting national visions like Saudi Arabia’s Vision 2030 and advancing data protection maturity across high-growth African markets. Expanding our strategic partner ecosystem will also remain a top priority, ensuring that we provide unparalleled support, integration capabilities, and rapid time-to-value for our expanding customer base. Our long-term priority is to cement Seclore’s position as the foundational pillar of digital trust, enabling businesses across the META region to innovate with absolute confidence in their security posture.
Looking ahead
The Middle East’s digital ambitions rank among the most significant in the world. Cloud adoption, national AI programmes and growing collaboration across public and private-sector ecosystems are creating opportunities to transform services, industries and economies. The same developments are expanding the number of people, systems and organisations that interact with sensitive information. Enterprise security must therefore evolve alongside the region’s digital ambitions. Infrastructure, endpoint and identity security will remain indispensable, but these controls must be complemented by continuous insight into the data itself. Organisations need to know what information they hold, why it matters, how it is being used and whether protection remains effective wherever it travels. Data Security Intelligence offers an operating model for connecting this understanding with classification, governance, persistent control and demonstrable compliance. Organisations that understand, govern and protect their data will be better positioned to embrace AI, expand collaboration and innovate with confidence. This is the data-centric future Seclore is helping to build.
