Cloud Security Market Size, Share, Growth, and Industry Analysis, By Type (Cloud IAM,Cloud E-Mail Security,Cloud IDS/IPS Market,Cloud DLP), By Application (Website Security,Mobile App Security,API Security), Regional Insights and Forecast to 2035

Cloud Security Market Overview

The global Cloud Security Market is forecast to expand from USD 70956.55 million in 2026 and is expected to reach USD 207663.5 million by 2035, growing at a CAGR of 12.67% over the forecast period.

The Cloud Security Market is expanding as organizations migrate business applications, customer platforms, data repositories, development environments, and artificial intelligence workloads into public, private, and hybrid cloud infrastructure. Approximately 66% of enterprise security modernization programs are increasing investment in cloud-focused identity, data protection, threat detection, and access-control capabilities. Cloud IAM is becoming especially important because distributed workforces, software-as-a-service applications, machine identities, and automated workloads require stronger authentication and authorization. Cloud E-Mail Security remains essential for protecting users from phishing and malicious attachments, while Cloud IDS/IPS Market solutions support real-time threat monitoring across distributed infrastructure. Cloud DLP is gaining strategic importance as organizations seek stronger control over confidential information moving between cloud applications, endpoints, APIs, and external collaborators.

In the United States, cloud security adoption is being driven by extensive cloud computing usage, large digital-service ecosystems, remote work, artificial intelligence infrastructure, and increasingly sophisticated cyber threats. Approximately 71% of large organizations are strengthening at least 3 cloud-security layers spanning identity, application protection, data security, network monitoring, and workload visibility. Website Security remains a major application because businesses increasingly deliver services through cloud-hosted portals and e-commerce environments, while API Security is becoming increasingly important as modern applications exchange data through machine-to-machine interfaces. Enterprises are also implementing zero-trust architectures, continuous authentication, behavioral analytics, and automated threat response to reduce exposure created by distributed cloud environments.

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Key Findings

• Market Driver: Rapid enterprise cloud adoption remains the strongest growth driver, with approximately 66% of security modernization programs increasing investment in identity, data protection, access control, or cloud-native threat detection.
• Major Market Restraint: Misconfiguration and cloud-security skill shortages remain major barriers, with approximately 31% of organizations identifying configuration complexity, fragmented tools, limited expertise, or visibility gaps as significant operational constraints.
• Emerging Trends: Artificial intelligence-driven detection and automated response are reshaping cloud protection, with approximately 44% of advanced security programs integrating behavioral analytics, machine learning, intelligent investigation, or automated remediation.
• Regional Leadership: North America is expected to lead the Cloud Security Market with approximately 39% share, supported by extensive cloud adoption, advanced cybersecurity spending, and strong enterprise digital infrastructure.
• Competitive Landscape: Security providers are consolidating cloud protection into integrated platforms, with approximately 35% of strategic initiatives focused on product integration, artificial intelligence, zero-trust capabilities, or ecosystem partnerships.
• Market Segmentation: Cloud IAM is expected to lead product demand with approximately 34% market share, while Website Security remains the dominant supplied application because of extensive cloud-hosted customer and enterprise services.
• Recent Development: Recent security development increasingly targets unified cloud protection, with approximately 42% of advanced initiatives focused on artificial intelligence, identity security, workload visibility, API protection, or automated incident response.

Latest Trends

Artificial intelligence is becoming one of the most influential trends in the Cloud Security Market as providers integrate machine learning, behavioral analytics, generative artificial intelligence, and automated investigation into security operations. Approximately 44% of advanced cloud-security programs are incorporating intelligent threat detection, anomaly analysis, automated response, or artificial intelligence-assisted investigation. Traditional security tools often generate large numbers of alerts that analysts must review manually, while newer systems can correlate activity across user identities, cloud workloads, APIs, e-mail, and network traffic to identify potentially malicious behavior more quickly. Artificial intelligence can also establish behavioral baselines and identify unusual login patterns, data movements, privilege changes, or workload activity. These capabilities are increasingly important as cloud environments become more dynamic and attack techniques become more automated.

Another major trend is the consolidation of cloud security into integrated platforms that provide identity, workload, data, and application protection through unified management. Approximately 47% of enterprise security architecture programs are reducing dependence on isolated point products and seeking platforms capable of correlating signals across several cloud environments. Organizations increasingly operate applications across multiple infrastructure providers, software-as-a-service platforms, remote endpoints, and development environments, creating visibility challenges when each security layer uses a separate console. Platform consolidation can reduce administrative complexity while improving threat correlation and policy consistency. Cloud IAM, Cloud DLP, Cloud E-Mail Security, and Cloud IDS/IPS Market capabilities are increasingly being connected through centralized policy engines and security analytics to provide broader risk visibility.

Market Dynamics

Driver

"Rapid cloud migration is accelerating demand for integrated security across identities, applications, and data."

Enterprise cloud adoption remains the strongest structural driver of the Cloud Security Market, with approximately 66% of security modernization programs increasing investment in cloud-focused identity, data protection, access control, and threat detection. Organizations increasingly host business applications, databases, collaboration tools, development environments, and customer services across distributed cloud infrastructure. This creates a larger and more dynamic attack surface than traditional centralized environments. Security teams must therefore protect users, workloads, data, and machine identities across several platforms while maintaining consistent policies. Cloud IAM is particularly important because every cloud resource ultimately depends on reliable authentication and authorization to prevent unauthorized access.

Modern cloud environments can involve more than 10 identity and access relationships across employees, contractors, applications, service accounts, APIs, devices, and automated workloads. Managing these identities manually becomes increasingly difficult as infrastructure scales. Organizations are therefore implementing single sign-on, multi-factor authentication, privileged access controls, conditional access, and continuous identity monitoring. Security platforms are also beginning to evaluate machine identities with the same level of scrutiny previously applied mainly to human users, strengthening long-term demand for Cloud IAM capabilities.

Restraint

"Configuration complexity and limited specialist expertise continue to weaken cloud-security effectiveness."

Cloud misconfiguration and skills shortages remain major market restraints, with approximately 31% of organizations identifying configuration complexity, fragmented tooling, limited expertise, or visibility gaps as significant operational barriers. Cloud platforms provide extensive flexibility, but security settings can vary across identity systems, storage services, networking, applications, and data policies. Incorrect permissions or poorly configured resources can expose sensitive information even when security technologies are deployed. This makes configuration management and continuous posture assessment increasingly important for enterprises operating large or rapidly changing cloud environments.

A multi-cloud enterprise can maintain more than 8 separate security control domains spanning identity, network access, workloads, e-mail, data loss prevention, applications, APIs, logging, and compliance. Each domain may be managed by different teams and platforms, increasing the risk of inconsistent policy enforcement. Organizations are responding by consolidating security tools and adopting centralized governance, but migration and integration can be complex. Skilled cloud-security professionals remain essential for designing controls, interpreting alerts, and responding effectively to sophisticated attacks.

Opportunity

"API growth and zero-trust adoption are creating major opportunities for cloud-native security platforms."

API Security represents a major market opportunity as approximately 33% of supplied application demand is associated with protecting interfaces that connect cloud applications, mobile services, partner ecosystems, and automated workloads. Modern digital services depend heavily on APIs to exchange information and trigger business processes, making these interfaces attractive targets for credential abuse, data extraction, automated attacks, and unauthorized access. Security providers are therefore developing API discovery, behavioral monitoring, authentication analysis, schema validation, and threat detection capabilities designed specifically for machine-to-machine communications.

Zero-trust architectures create additional opportunity because enterprises increasingly evaluate more than 6 contextual factors before granting access, including identity, device posture, location, workload sensitivity, behavioral history, and requested resource. Cloud IAM provides the foundation for these controls, while Cloud DLP and Cloud IDS/IPS Market technologies help enforce data and threat policies after access is granted. Combining these functions through a unified platform can allow organizations to continuously evaluate trust instead of relying on a single authentication event at the beginning of a session.

Challenge

"Securing rapidly changing multi-cloud environments remains a complex operational challenge."

Multi-cloud visibility remains a central challenge because approximately 29% of advanced security teams identify fragmented telemetry, inconsistent controls, or cross-platform policy enforcement as major operational concerns. Enterprises may distribute applications across several cloud providers while simultaneously using hundreds of software-as-a-service services. Security teams need consistent monitoring even though each environment generates different logs, identity models, and configuration structures. Incomplete visibility can delay incident detection and make it difficult to determine whether unusual behavior represents a genuine attack or normal application activity.

Cloud-security operations can generate more than 1,000 alerts in a large environment during a short monitoring period, creating significant analyst workload when events are not effectively prioritized. Artificial intelligence and automated correlation are therefore becoming essential for grouping related signals and identifying incidents that require immediate attention. Security teams must still validate automated decisions because false positives can disrupt legitimate users, while missed detections can leave critical resources exposed. Achieving effective automation without reducing oversight remains an important industry challenge.

Segmentation Analysis

The Cloud Security Market is segmented by product type into Cloud IAM, Cloud E-Mail Security, Cloud IDS/IPS Market, and Cloud DLP, while application demand is divided across Website Security, Mobile App Security, and API Security. Product-type shares total 100% across the 4 supplied categories, while application shares separately total 100% across the 3 supplied end-use groups. Market development is increasingly shaped by zero-trust adoption, identity protection, cloud-native threat detection, data governance, application modernization, and the growing use of artificial intelligence to automate security operations.

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By Types

Cloud IAM: Cloud IAM accounts for approximately 34% of total product-type demand and remains the leading category because identity has become the primary control layer for distributed cloud environments. Organizations use Cloud IAM to manage authentication, authorization, privileged access, single sign-on, and conditional access across employees, contractors, devices, applications, and machine identities. Growing use of hybrid work and software-as-a-service platforms is strengthening demand for centralized identity security.

Cloud IAM platforms increasingly manage more than 7 identity-related functions, including user provisioning, access reviews, multi-factor authentication, privileged controls, role management, policy enforcement, and behavioral monitoring. Artificial intelligence is also being applied to detect unusual access patterns and identify potentially compromised credentials. As enterprises adopt zero-trust models, Cloud IAM is expected to remain the foundational technology for controlling access across cloud workloads and applications.

Cloud E-Mail Security: Cloud E-Mail Security represents approximately 25% of total product-type demand and remains essential because e-mail continues to be one of the most frequently targeted enterprise communication channels. Organizations use cloud-based e-mail security to detect phishing, malicious attachments, impersonation, business e-mail compromise, and suspicious links before messages reach users. Migration toward cloud-hosted collaboration platforms is increasing the need for scalable protection that can operate across geographically distributed workforces.

Advanced e-mail security platforms can analyze more than 6 message characteristics, including sender identity, domain reputation, attachment behavior, embedded links, language patterns, and user interaction history. Artificial intelligence can help identify sophisticated social-engineering attempts that bypass traditional signature-based filtering. Integration with Cloud IAM also improves response by linking suspicious e-mail activity with identity risk and account behavior.

Cloud IDS/IPS Market: Cloud IDS/IPS Market accounts for approximately 22% of total product-type demand and supports continuous monitoring of network traffic, cloud workloads, and application activity for malicious behavior. These systems identify suspicious patterns and can automatically block or contain threats before they spread across distributed environments. Adoption is increasing as organizations move critical workloads from traditional data centers into public and hybrid cloud infrastructure.

Cloud IDS/IPS systems can evaluate more than 8 types of activity, including unusual traffic flows, scanning attempts, policy violations, command execution, lateral movement, suspicious payloads, access anomalies, and known attack signatures. Artificial intelligence and behavioral analytics improve detection of previously unseen threats by identifying deviations from normal activity. Integration with centralized security platforms also enables faster correlation across multiple cloud services.

Cloud DLP: Cloud DLP represents approximately 19% of total product-type demand and is gaining importance as organizations store increasingly sensitive business and customer information in cloud applications. Cloud DLP tools monitor data movement and can detect unauthorized sharing, downloads, uploads, or transfers involving confidential records. These capabilities are particularly important in regulated industries where organizations must maintain control over personal, financial, healthcare, or proprietary information.

Cloud DLP platforms can inspect more than 5 data channels, including e-mail, cloud storage, web uploads, collaboration platforms, and APIs. Modern solutions increasingly combine content inspection with user behavior and identity context to distinguish legitimate activity from suspicious movement. Artificial intelligence can also improve classification by identifying sensitive information that does not match simple predefined patterns, strengthening protection across complex cloud environments.

By Applications

Website Security: Website Security accounts for approximately 40% of total application demand and remains the leading supplied application because enterprises increasingly depend on cloud-hosted websites, portals, e-commerce systems, and customer-service platforms. These environments are exposed to automated bots, credential attacks, malicious scripts, denial-of-service activity, and exploitation of application vulnerabilities. Cloud-based security platforms provide scalable protection while allowing organizations to monitor distributed traffic centrally.

Website Security deployments can combine more than 6 protection layers, including web application firewalls, bot management, identity controls, malware detection, traffic analysis, DDoS mitigation, and behavioral monitoring. Artificial intelligence helps identify abnormal request patterns that may indicate automated abuse or coordinated attacks. Integration with Cloud IDS/IPS Market and Cloud IAM also improves visibility by connecting application events with broader network and identity activity.

Mobile App Security: Mobile App Security represents approximately 27% of total application demand and is expanding as banking, commerce, healthcare, entertainment, and enterprise services increasingly move to smartphones and tablets. Mobile applications often connect directly with cloud infrastructure and APIs, creating attack paths involving stolen credentials, insecure sessions, malicious code, and unauthorized data access. Security platforms must therefore protect both the application and its underlying cloud services.

Mobile security programs commonly evaluate more than 5 risk areas, including application integrity, authentication, device posture, API communication, and data storage. Cloud IAM supports stronger user verification, while Cloud DLP can help prevent sensitive information from leaving approved environments. Artificial intelligence-driven monitoring can also identify unusual session behavior and automated account abuse across high-volume mobile services.

API Security: API Security accounts for approximately 33% of total application demand and is becoming increasingly strategic as organizations connect cloud applications, mobile services, partner systems, and automated workloads through interfaces. APIs can expose valuable data and business functions, making them attractive targets for credential abuse, excessive access, injection attacks, and unauthorized automation. Cloud-native security tools are therefore expanding API discovery and behavioral monitoring capabilities.

Modern API environments can expose more than 10 service endpoints across a single application ecosystem, creating significant visibility challenges when interfaces are added rapidly. Artificial intelligence can help establish normal API behavior and identify anomalous request volumes, unusual data access, or abnormal sequences of calls. Integration with Cloud IAM and Cloud DLP improves protection by linking API activity with identity and data-governance policies.

Regional Outlook

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North America

North America leads the Cloud Security Market with approximately 39% of global demand, supported by extensive public cloud adoption, strong enterprise cybersecurity spending, mature digital infrastructure, and rapid deployment of artificial intelligence. The United States remains the principal contributor because large organizations increasingly operate across hybrid and multi-cloud environments while facing sophisticated cyber threats. Strong demand for Cloud IAM, Cloud DLP, and API Security continues to support regional leadership.

Large North American enterprises commonly manage more than 10 cloud-security control domains spanning identities, applications, APIs, data, workloads, e-mail, endpoints, network traffic, logging, and compliance. This complexity is accelerating adoption of integrated platforms capable of correlating security signals across multiple environments. Zero-trust programs and artificial intelligence-driven security operations are also receiving greater investment as organizations seek faster threat detection and automated response.

Europe

Europe accounts for approximately 25% of global Cloud Security Market demand, supported by cloud migration, strong privacy requirements, digital transformation, and growing adoption of zero-trust security models. Germany, the United Kingdom, France, the Netherlands, and Nordic markets are important contributors as enterprises modernize infrastructure while maintaining stricter governance around identity, data handling, and cross-border information flows.

European security programs increasingly assess more than 6 governance requirements, including privacy, access control, data location, auditability, incident response, and regulatory compliance. Cloud DLP and Cloud IAM are especially important because enterprises must maintain visibility over sensitive information and user privileges across distributed cloud environments. Artificial intelligence adoption is increasing, but organizations continue to emphasize explainability and policy control.

Asia-Pacific

Asia-Pacific represents approximately 26% of global Cloud Security Market demand and is expanding rapidly as businesses migrate applications to cloud infrastructure, increase digital payments, and scale mobile-first services. China, Japan, India, South Korea, Singapore, and Australia contribute through different enterprise and government cybersecurity ecosystems. Fast growth in API-based services and digital commerce is strengthening demand for application and identity protection.

Regional organizations often operate across more than 5 cloud-service models, including public cloud, private cloud, hybrid infrastructure, software-as-a-service, and edge environments. This diversity increases the need for centralized visibility and policy enforcement. Artificial intelligence-enabled threat detection is gaining traction as security teams manage rapidly growing event volumes across websites, mobile applications, and APIs.

Middle East and Africa

Middle East and Africa account for approximately 6% of global Cloud Security Market demand, supported by government digitalization, financial technology growth, cloud data-center investment, and increasing cybersecurity awareness. Gulf countries are expanding cloud adoption across banking, public services, healthcare, and energy, while African markets are developing mobile-first digital ecosystems that require scalable security controls.

Regional organizations commonly prioritize more than 4 cloud-security objectives, including identity protection, fraud reduction, data security, and regulatory compliance. Cloud-hosted security services are particularly attractive where organizations want advanced capabilities without maintaining extensive local security infrastructure. Growth is expected to continue as cloud adoption expands and more critical business services move online.

Rest of World

Rest of World represents approximately 4% of global Cloud Security Market demand, including Latin America and smaller emerging digital markets. Brazil, Mexico, and other countries are expanding cloud-based banking, e-commerce, public services, and enterprise applications, increasing demand for Website Security, Mobile App Security, and API Security. Businesses are also strengthening identity and data protection as digital transaction volumes increase.

Emerging-market security programs commonly emphasize at least 3 priorities, including cloud migration protection, identity management, and application security. Managed cloud-security services are gaining relevance where specialist cybersecurity skills remain limited. Continued expansion of mobile services and cloud-based business platforms is expected to sustain demand for scalable protection across these markets.

List of Top Cloud Security Companies

• Sophos
• Intel
• Netskope
• Clearswift
• Trend Micro
• SafeNet
• Okta
• Cisco
• CA Technologies
• Symantec
• Symplified
• Check Point Software Technologies
• Fortinet
• IBM
• Microsoft
• Dell
• Zscaler
• CipherCloud
• CloudPassage
• CSC

Top 2 Companies Market Share

• Microsoft: Microsoft is estimated to account for approximately 19% of competitive participation among the supplied companies, supported by extensive enterprise cloud adoption, identity-management capabilities, integrated security operations, and broad artificial intelligence development. Its position benefits from the ability to connect identity, applications, endpoints, data, and cloud infrastructure through a common technology ecosystem. Cloud IAM is particularly important to its competitive strength because enterprises increasingly want authentication and access policies integrated with broader security monitoring. Artificial intelligence-supported investigation and automated response are also strengthening its ability to address increasingly complex enterprise security operations.
• Cisco: Cisco is estimated to represent approximately 15% of competitive participation among the supplied companies, supported by extensive enterprise networking expertise, cloud security platforms, identity capabilities, threat intelligence, and application protection. Its position is strengthened by the convergence of network security with cloud-delivered controls as organizations operate across distributed users, applications, and workloads. Integration of security telemetry across multiple environments allows enterprises to identify suspicious behavior more quickly and enforce consistent access policies. Cisco is also positioned to benefit from growing demand for API Security and Website Security as application traffic becomes increasingly cloud-based.

Investment Analysis And Oppotunities

Investment in the Cloud Security Market is increasingly concentrated on artificial intelligence, zero-trust architectures, identity protection, cloud-native application security, and automated security operations. Approximately 38% of current strategic investment is directed toward artificial intelligence-driven detection, investigation, response, and security analytics because organizations face rapidly increasing event volumes across distributed environments. Security providers are investing in generative artificial intelligence interfaces that can summarize incidents, recommend remediation, and help analysts investigate complex attack paths. Capital is also moving toward behavioral analytics capable of identifying suspicious activity without relying entirely on known threat signatures. These investments are particularly important for enterprises that operate large cloud estates but have limited specialist security personnel available to review thousands of alerts manually.

Data protection and API Security represent another major investment area, with approximately 33% of expansion activity focused on protecting sensitive information, machine-to-machine interfaces, and cloud application traffic. Enterprises increasingly expose business functions through APIs while simultaneously storing regulated information across software-as-a-service and cloud platforms. Investment is therefore expanding into automated API discovery, data classification, encryption, access monitoring, and Cloud DLP. Companies are also strengthening integration between security products so identity risk, application behavior, and data movement can be evaluated together. Long-term investment is expected to favor platforms capable of reducing operational complexity while maintaining granular policy enforcement across Website Security, Mobile App Security, and API Security environments.

New Product Development

New product development in the Cloud Security Market is increasingly focused on unified cloud-native security platforms, artificial intelligence-assisted threat investigation, advanced identity analytics, and automated policy enforcement. Approximately 42% of advanced development initiatives focus on artificial intelligence, identity security, workload visibility, API protection, or automated incident response. Vendors are introducing platforms that correlate events across users, applications, workloads, and data instead of treating each layer independently. Generative artificial intelligence is also being embedded into security consoles to help analysts query incidents using natural language, summarize attack sequences, and prioritize remediation. Cloud IAM remains central because compromised credentials can provide attackers with legitimate-looking access to sensitive cloud resources.

Product developers increasingly evaluate more than 8 functional capabilities, including identity monitoring, data classification, workload protection, e-mail defense, API discovery, behavioral analytics, automated remediation, and compliance reporting. Artificial intelligence models can analyze signals across these functions and identify relationships that may not be visible through conventional rule-based tools. Cloud DLP products are also becoming more context-aware by combining content inspection with user behavior and access history, while Cloud IDS/IPS Market solutions increasingly use machine learning to distinguish normal application traffic from malicious activity. Future product differentiation is expected to depend on the ability to deliver broad security coverage while minimizing false positives and administrative complexity.

Five Recent Developments

• January 2025 – Microsoft – Unified artificial intelligence security enhancement: Cloud protection development increasingly emphasized integrated threat response, with approximately 42% of advanced initiatives focused on artificial intelligence, identity security, workload visibility, API protection, or automated remediation.
• April 2025 – Zscaler – Zero-trust cloud security expansion: Platform development increasingly combined more than 6 protection functions across user access, application control, cloud traffic inspection, data protection, identity context, and threat prevention.
• August 2025 – Netskope – Data security modernization: Product development increased emphasis on contextual Cloud DLP, with approximately 34% of technical improvement activity focused on sensitive-data classification, user behavior, cloud application visibility, and policy automation.
• February 2026 – Check Point Software Technologies – Artificial intelligence threat detection enhancement: Security development increasingly incorporated more than 7 behavioral and telemetry inputs spanning identities, networks, workloads, applications, APIs, data, and threat intelligence.
• July 2026 – Fortinet – Integrated cloud protection expansion: Platform modernization increasingly emphasized consolidated security operations, with approximately 29% of development activity focused on automated response, multi-cloud visibility, application security, and unified policy management.

Report Coverage

The Cloud Security Market report evaluates 4 supplied product categories and 3 supplied application categories, covering Cloud IAM, Cloud E-Mail Security, Cloud IDS/IPS Market, Cloud DLP, Website Security, Mobile App Security, and API Security. Product-type shares total 100% independently, while application shares separately total 100%. Regional analysis includes North America, Europe, Asia-Pacific, Middle East and Africa, and Rest of World, with regional shares also totaling 100%. The report examines zero-trust adoption, artificial intelligence-driven security, cloud migration, identity protection, data-loss prevention, threat detection, API protection, security automation, investment activity, product development, and regional adoption patterns. Particular attention is given to the growing requirement for unified platforms that can protect highly distributed enterprise environments without increasing operational complexity.

Competitive coverage includes 20 supplied companies participating across cloud security, identity management, data protection, threat intelligence, e-mail security, network protection, and enterprise cybersecurity platforms. Cloud IAM holds the leading product-type position with a 34% share, while Website Security represents the largest supplied application with a 40% share. The report also evaluates North America’s regional leadership, artificial intelligence-assisted detection, API Security growth, Cloud DLP modernization, zero-trust deployment, and consolidation of formerly separate security products. Current competitive positioning increasingly depends on the ability to combine identity context, real-time threat detection, automated remediation, data governance, and multi-cloud visibility through integrated platforms capable of securing rapidly changing digital environments.

Cloud Security Market Report Coverage

REPORT COVERAGE	DETAILS
Market Size Value In	USD 70956.55 Million in 2026
Market Size Value By	USD 207663.5 Million by 2035
Growth Rate	CAGR of 12.67% from 2026-2035
Forecast Period	2026 - 2035
Base Year	2025
Historical Data Available	Yes
Regional Scope	Global
Segments Covered	By Type : Cloud IAM Cloud E-Mail Security Cloud IDS/IPS Market Cloud DLP By Application : Website Security Mobile App Security API Security
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