What is Cloud Security?

Cloud security refers to the comprehensive set of measures, controls, and policies designed to protect data, applications, and infrastructure associated with cloud computing. As organizations increasingly migrate their operations to the cloud, and increasingly build directly in it using AI tools and agents, understanding and implementing robust cloud security practices has become paramount. Cloud security encompasses various strategies to safeguard cloud environments against unauthorized access, data breaches, and other cyber threats.

Cloud security plays a crucial role in protecting sensitive information and maintaining business continuity. Modern enterprises rely heavily on cloud services for innovation, daily operations, and a number of mission-critical functions, illustrating the immense importance of protecting them. By implementing strong cloud security measures, businesses can:

Protect sensitive data and intellectual property.
Ensure compliance with industry regulations and internal requirements.
Maintain customer trust and brand reputation.
Minimize downtime and potential financial losses.

Overview of cloud security threats

As cloud adoption continues to grow, so does the sophistication of threats targeting cloud environments. Some common cloud security challenges include:

Data breaches
Insider threats
Misconfigured cloud services
Account hijacking
Denial of Service (DoS) attacks
AI related exposure

Key components of cloud security

Cloud security is not one tool, it is a set of capabilities that work together across three things. Complete visibility into everything running in your cloud, context that connects those findings into what actually matters, and security that fits the way your teams already build. Modern platforms deliver these components together rather than as disconnected point solutions. The sections below on types of cloud security solutions walk through each individual capability in more depth, but at a high level, they map onto these three areas.

Complete visibility across cloud and AI environments

Visibility starts with knowing everything that exists in your environment, including what was spun up outside normal provisioning. This means having an accurate, continuously updated picture of cloud infrastructure, workloads, containers, APIs, application code, and increasingly, the AI models and AI-generated applications that builders are creating across the organization. Without this foundation, every other security capability is working from an incomplete map.

Context that powers decisions

Visibility alone produces noise. Context is what turns a long list of findings into a short list of what actually needs attention. This is where identity and permissions data, reachability, exploitability, log activity, vulnerability severity, and real-time threat signals get correlated against each other, so a security team understands not just that something is exposed, but what it connects to, who can reach it, and whether it is actually being exploited.

Security that fits the way you work

Tools that force teams to change how they work or bounce between screens create friction. That friction adds up into slower fixes, more manual handoffs, and lower overall efficiency, even when the underlying security capability is strong. The strongest cloud security programs integrate into existing workflows instead of creating new ones, whether that means scanning without installing agents, connecting findings into the ticketing and chat tools teams already use, or meeting builders in their IDE, CI/CD pipeline, or even their AI assistant of choice, rather than asking them to log into a separate console.

2025 State of Cloud Security Report

Key findings and trends

The 2025 State of Cloud Security Report reveals a cloud security landscape defined by rapid innovation and rising complexity. As organizations embrace multi-cloud and AI-driven environments, the scale and interconnectivity of risks continue to expand.

More than half of organizations (55%) now use two or more cloud providers, and 84% use AI in the cloud, yet 62% have at least one vulnerable AI package. Traditional risks persist as well: nearly a third of all cloud assets remain neglected or unpatched, and each contains an average of 115 vulnerabilities. Data exposure is also on the rise, with more than a third of organizations leaving sensitive databases publicly accessible.

These findings underscore the Defender’s Paradox: attackers need to be right only once, while defenders must secure every path. In fact, 13% of organizations have a single cloud asset responsible for more than 1,000 attack paths, highlighting the need for unified visibility, contextual prioritization, and AI-driven defenses across the entire application lifecycle.

Two more recent reports add further detail on top of this. The 2026 State of AI Security Report, based on telemetry from more than 1,200 production organizations, found that AI package vulnerabilities with a publicly available exploit have grown sharply since the 2024 report, and that AI is no longer experimental infrastructure, it is running in production, connected to enterprise data and identities. The 2026 State of Application Security Report, based on data from more than 1,000 organizations, found that more than 81% of organizations deploy vulnerable dependencies and nearly one third expose valid secrets in code, underscoring that development velocity continues to outpace security maturity.

Key recommendations

The reports also summarize key recommendations on how organizations can reduce their cloud attack surface and harden their environments. This includes the following activities:

Secure AI while leveraging it for defense. Protect your environment from AI related risks by securing models, data, and dependencies using cloud security best practices. At the same time, use AI to enhance detection, remediation, and least privilege enforcement.
Protect high-value assets. Continuously identify and monitor your organization’s crown jewels. Prioritize remediation of the attack paths that endanger them, ensuring real-time protection for sensitive and business-critical resources.
Safeguard sensitive data. Locate where sensitive data resides across your cloud estate and apply the appropriate controls to keep it secure and compliant. Continuously monitor for unusual access or exfiltration attempts.
Prevent workload neglect. Maintain a current inventory of workloads and monitor for unpatched or abandoned assets. Deploy only supported applications and operating systems, and enforce IaC security benchmarks before deployment.
Prioritize patching strategically. Focus on remediating critical vulnerabilities that are exploitable in runtime rather than attempting to patch everything.
Enforce the Principle of Least Privilege (PoLP). Grant users and non-human identities only the minimum permissions needed. Use automation and AI-driven IAM capabilities, including Just-in-Time (JIT) Access, to reduce standing privileges and enforce least privilege at scale.
Unify security before deployment and during runtime. Implement security that combines runtime protection with pre-deployment security scanning. Detect and remediate issues earlier in the application pipeline, trace production alerts back to source code, and maintain full visibility across the application lifecycle.
Continuously audit and monitor. Conduct regular audits, enforce security baselines, and continuously monitor access logs for anomalies to detect and respond to threats faster.

Cloud security challenges

As organizations increasingly adopt cloud technologies, they face several significant hurdles in maintaining robust security. Understanding these challenges is crucial for implementing effective cloud security measures and safeguarding your digital assets.

Lack of visibility

Cloud environments are dynamic, with users able to spin up ephemeral resources like containers, serverless functions, and now AI agents and AI-generated apps at any time. This lack of visibility is compounded by shadow IT and shadow AI, where employees adopt or build unapproved tools outside security review. Security teams can’t secure what they can’t see.

Access management

Managing permissions across multiple cloud vendors and platforms gets harder as teams grow more distributed. Enforcing least privilege consistently across every account and role takes continuous oversight, and without it, access sprawl quietly becomes its own source of risk. This is compounded by non-human identities, service accounts, API keys, workload identities, and now autonomous AI agents, which often outnumber human users, are frequently over-permissioned, and were never designed to fit neatly into access controls built around individual people.

Compliance and regulatory concerns

Meeting industry regulations and data protection laws gets harder in the cloud, particularly around cross-border data transfers and varying international requirements. Organizations must ensure their cloud providers meet compliance requirements and implement controls that keep sensitive data protected.

Misconfigurations and human error

Simple misconfigurations and human mistakes remain a leading cause of cloud security incidents. The complexity of cloud systems and pace of change make it easy to overlook a security setting or misconfigure access, creating vulnerabilities attackers can exploit.

Alert fatigue and false positives

More coverage often means more findings, and without correlation across cloud, identity, code, and AI signals, teams end up triaging a long list of disconnected alerts, many of them duplicative or not actually exploitable. This noise leads to alert fatigue, where real threats get lost among low-risk findings instead of surfaced as the small number that actually matter.

Types of cloud security solutions

Cloud security refers to a broad range of technologies, philosophies, and vendors. Various types of cloud security solutions exist, and each one presents significant differences that can greatly impact your overall security.

Public vs. Private vs. Hybrid Cloud Security

When discussing cloud security, understanding the security implications of different cloud deployment models is crucial. Think of it like choosing your living arrangement:

Public cloud security is akin to living in an apartment building where everyone shares the same resources. In this setup, companies depend on shared infrastructure provided by major players like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure. While these providers invest heavily in security measures, the responsibility for securing data ultimately lies with each business. For example, a startup might choose a public cloud to host its application, but it must implement robust access controls and encryption to keep customer data secure and private.
Private cloud security resembles owning a standalone house. Here, organizations gain exclusive control over their infrastructure, allowing them to customize security measures to meet their specific needs. This model is particularly beneficial for industries dealing with sensitive data, such as healthcare or finance. For instance, a financial institution might select a private cloud to ensure that customer financial records are stored securely and comply with regulations like PCI DSS.
Hybrid cloud security offers flexibility similar to having a primary residence and vacation home. In this model, businesses can store sensitive data in a private cloud or on-prem environment while leveraging the scalability of a public cloud for other operations. For example, a retail company might keep customer payment data in a private cloud for added security while using a public cloud for marketing analytics. This approach requires a unified security strategy to effectively protect data across all environments.

AI Security Posture Management (AI-SPM)

AI Security Posture Management governs the AI models, training data, and inference endpoints that now run inside cloud environments. As organizations deploy more AI models and agents, AI-SPM continuously monitors for risks like exposed model endpoints, misconfigured permissions on AI infrastructure, and sensitive data flowing into training pipelines. The 2026 State of AI Security Report found that AI is no longer experimental, it is production infrastructure connected to enterprise data and identities, and AI package vulnerabilities with public exploits have grown sharply since 2024. AI-SPM is a key cloud security component because AI risk cannot be assessed in isolation. An exposed AI model sitting on an over-permissioned cloud identity is a cloud risk and an AI risk at the same time.

AI AppGen Security

A newer and fast-growing category, AI AppGen Security addresses securing the applications being built by AI app generation tools, often by builders outside of traditional engineering workflows, including non-technical teams across marketing, finance, and other functions. These shadow AI apps can introduce real risk, exposed data stores, unreviewed logic, unmanaged access, without ever appearing on a security team’s radar. AI AppGen Security discovers these applications as they are built and brings them under the same visibility and policy enforcement as everything else in the environment, so builders can keep building without becoming an unmonitored blind spot.

API Security

API Security safeguards APIs against threats, vulnerabilities, misconfigurations, exposures, and various other risks. This field integrates strategies, solutions, and practices aimed at continuously discovering and cataloging APIs (including shadow APIs), detecting and addressing API-related risks, and tracking both newly added and removed APIs, as well as any API drift.

Application Security

Application Security encompasses a set of cloud security strategies, technologies, and practices that integrate security and testing into the early stages of the software development lifecycle (SDLC), tracing risk from the moment code is committed through to what runs in production. This approach aims to identify and resolve security risks and issues before applications are deployed to production, making it more cost-effective to address problems early on.

Cloud Infrastructure Entitlements Management (CIEM)

Cloud Infrastructure Entitlements Management (CIEM) is a cloud security solution focused on managing access rights and permissions for cloud resource entities. CIEM (pronounced “KIM”) solutions are essential for enforcing the principle of least privilege (PoLP), a security approach that gives users access only to the resources necessary for their specific job functions.

Cloud Detection and Response (CDR)

Cloud Detection and Response (CDR) is a segment of cloud security dedicated to identifying active attacks within cloud environments and equipping organizations with the insights and tools necessary for security teams to investigate and respond effectively.

The primary goal of CDR is to detect cloud attackers who have circumvented the perimeter defenses of cloud resources and applications. By consistently delivering contextualized data on potential malicious activity to security operation center (SOC) and incident response (IR) teams, CDR enhances the speed and effectiveness of investigations and responses to cloud-based attacks.

Cloud-Native Application Protection Platform (CNAPP)

A Cloud-Native Application Protection Platform (CNAPP) is a cloud security solution designed to provide extensive coverage and visibility across multi-cloud environments, while also identifying risks throughout the entire technology stack. This encompasses issues such as cloud misconfigurations, poorly managed identity access, vulnerabilities, insecure workloads, and increasingly, AI and application risk.

CNAPPs have emerged as a modern alternative to many traditional cloud security tools, consolidating their various functionalities into a single platform. This includes features from Cloud Workload Protection Platform (CWPP), Cloud Security Posture Management (CSPM), Cloud Infrastructure Entitlements Management (CIEM), as well as other solutions like compliance tools, API Security, Application Security, and Data Security Posture Management (DSPM). Read our full guide to CNAPP for a deeper look at how this category has evolved.

Cloud Security Posture Management (CSPM)

Cloud Security Posture Management (CSPM) allows organizations to detect and address risks, misconfigurations, and compliance violations within their cloud infrastructure, helping to minimize their attack surface. CSPMs can detect and remediate numerous types of misconfigurations, such as internet-exposed virtual machines and storage buckets, reliance on default settings from cloud providers, open ports not utilized by other applications in the infrastructure, and much more.

Cloud Workload Protection Platform (CWPP)

A Cloud Workload Protection Platform (CWPP) is a cloud security solution specifically focused on securing server workloads in the public cloud. CWPP solutions identify and detect risks within cloud workloads, such as vulnerabilities, malware, and sensitive data exposure. These capabilities can be provided either through standalone solutions or as part of a unified CNAPP.

Compliance

Compliance solutions support organizations in meeting regulatory frameworks and industry standards related to their use of public cloud environments. These solutions facilitate and automate essential tasks, such as identifying, monitoring, addressing, and reporting on cloud security risks on an ongoing basis.

Container and Kubernetes Security

Container and Kubernetes Security is a segment of cloud security aimed at improving the security of containerized applications and Kubernetes environments. This involves the implementation of various security practices, including secure cluster configurations, access control, container image security, network protection, and ongoing monitoring.

Data Security Posture Management (DSPM)

Data Security Posture Management (DSPM) is a cloud security solution that detects sensitive data at risk, prioritizes alerts, and facilitates the remediation of any associated security risks and compliance issues.

Disaster recovery and business continuity

Cloud-based disaster recovery solutions offer robust protection against data loss and system failures. These solutions ensure business continuity by replicating data and applications across multiple locations, allowing for quick recovery in case of disasters or cyberattacks.

Real-time runtime protection

Real-time runtime protection solutions provide continuous visibility, detection, and alerting for active workloads, enabling organizations to identify and respond to threats as they occur. By analyzing runtime activity and system behavior, these solutions can alert on or automatically terminate malicious processes to prevent escalation or compromise. They typically require the installation of a lightweight sensor on sensitive workloads, ensuring comprehensive protection for high-value systems while minimizing operational overhead.

Vulnerability Management

Vulnerability management involves identifying, analyzing, and resolving issues within an organization’s IT systems and infrastructure. In cloud environments, vulnerability management emphasizes maintaining visibility and control over the security of cloud services and applications, prioritizing based on real-world exploitability so organizations can address the risks that matter most before they can be exploited by attackers.

Best practices for implementing cloud security

Implementing robust cloud security measures is crucial for protecting your organization’s data and assets in the cloud. By following these best practices, you can significantly enhance your cloud security posture and mitigate potential risks.

Focus on comprehensive coverage and risk detection

You can only protect what you can see. Equip your security teams with tools that provide complete visibility into your cloud environments, including any containers, serverless functions, and AI systems that builders may add in the future. Combine this with technology that detects all types of cloud security risks, as these dynamic environments can be vulnerable to various interconnected threats. This comprehensive approach helps you counter attackers’ freedom of movement and multi-phased attacks effectively.

The Orca Cloud Security Platform provides full visibility into your multi-cloud estate within minutes after deployment

Configure your settings

No two cloud environments are alike. Each organization has unique needs when it comes to cloud security, so don’t take a one-size-fits-all approach. After acquiring cloud security technology, tailor it to align with your specific goals and conditions. For instance, configure features that automate processes, customize alerts for specific risk types, and enable ready-made compliance templates to enhance your security posture effectively. Also, configure any preventative settings in your cloud security solution that block issues in development and prevent them from reaching production.

The Orca Platform enables users to build automated, customizable workflows using the Automations feature

Leverage integrations and minimize cross-functional friction

In many organizations, tensions often run high between development, DevOps, and security teams. Security teams depend on developers to resolve issues, while developers grapple with tight timelines and the pressure to deliver code quickly. These interactions typically require developers to fix problems when they are most costly and time-consuming. To alleviate this friction, leverage integrations that make it seamless for security, development, and other teams to collaborate. Best practice is to take advantage of integrations that allow developers to use their existing tools and processes, eliminating the need to learn or login to a separate platform.

The Orca Platform provides two-way integrations with Jira and ServiceNow, enhancing collaboration between security and development teams

Protect high-value assets with real-time detection and monitoring

Adding real-time runtime protection to your most sensitive workloads is a practical way to strengthen your overall cloud defense. While this type of security doesn’t provide complete visibility or address hygiene issues such as misconfigurations or overprivileged identities, it serves as a powerful safeguard against active threats. By continuously monitoring runtime behavior and detecting potential threats and activity, it enables organizations to prevent attacks from escalating into severe incidents.

Orca Sensor, a lightweight eBPF-based runtime sensor, provides real-time detection, monitoring, and alerting capabilities.

Treat compliance as a continuous requirement

Compliance drift, when organizations gradually stray from adhering to standards and controls, is a common challenge. This often occurs when companies view compliance as a one-time event focused solely on passing audits, rather than an ongoing responsibility that reflects their security effectiveness. As a result, they waste valuable time and resources scrambling to prepare for audits or managing the fallout from violations. To combat this, embrace compliance as a continuous process. This means not only leveraging advanced technology to automate tasks and processes but also prioritizing compliance as an ongoing business objective.

The Orca Platform offers a Multi-Cloud Compliance solution that automates and accelerates critical tasks to reduce compliance efforts across teams

Educate builders, not just security teams

Train the people actually building, not only the security team, on cloud, application, and AI security best practices and potential risks. Hold regular training sessions to keep employees informed about the latest threats and security protocols. Building a security-conscious culture across every team that builds, not just the ones with security in their title, is vital for maintaining a strong cloud security posture.

By adopting these best practices, you can significantly reduce the risk of data breaches and other security incidents. Keep in mind that cloud security is an ongoing process that demands continuous attention to evolving threats and technologies.

The future of cloud security

AI-driven solutions are set to enhance and expand existing capabilities while alleviating the burden on overwhelmed security teams. These technologies now offer features that make it easier for users to navigate their cloud environments, understand the assets and risks within them, and accelerate remediation efforts to reduce the mean time to remediation (MTTR) and prevent critical incidents.

However, AI innovation continues to challenge cloud security as fast as it helps it. The 2026 State of AI Security Report found that AI is no longer an experiment, it is production infrastructure connected to enterprise data, identities, and business-critical workflows, and that AI package vulnerabilities with a publicly available exploit have grown sharply since Orca’s 2024 report. At the same time, the number of builders across every part of the organization has grown exponentially, and organizations need security that provides complete visibility and the confidence to innovate at AI speed without introducing unnecessary risk. The future promises further innovation in both AI risks and the tools built to secure them.

Command your cloud with Orca

Orca offers a unified and comprehensive cloud security platform that identifies, prioritizes, and remediates security risks and compliance issues across AWS, Azure, Google Cloud, Oracle Cloud, Alibaba Cloud, and Kubernetes. The Orca Platform leverages Orca’s patented SideScanning™ technology to provide complete coverage and comprehensive risk detection, agentless-first, so builders keep building without interruption.

To see the Orca Platform in action, schedule a personalized demo with one of our experts.

Conclusion

As the cloud security market continues to expand rapidly, organizations must prioritize safeguarding their cloud, application, and AI environments to maintain a competitive edge. The increasing sophistication of cyber threats and the growing reliance on cloud services, and now on AI to build them, underscore the need for a security approach that keeps pace with the speed of the builders creating that environment. The right approach to cloud security delivers this through three things working together.

Complete visibility across cloud, application, and AI environments. Orca sees everything your team builds, across every environment, before risk becomes a breach.

Context that powers decisions. Orca correlates signals across your entire environment so your team acts on what actually matters, not a list of disconnected findings.

Security that fits the way you work. Orca adapts to how your team operates, your models, your agents, your workflows, rather than asking your builders to adapt to it.

With the right tools and commitment, you can confidently leverage the power of the cloud while upholding the highest security and compliance standards.

FAQs

Why is cloud security important?

Cloud security is of paramount importance in modern enterprises due to the increasing reliance on cloud-based services and infrastructure. As organizations migrate their data and applications to the cloud, and increasingly build directly with AI, they face new challenges in protecting sensitive information from cyber threats. The importance of cloud security lies in its ability to safeguard critical assets, maintain business continuity, and ensure compliance with regulatory requirements.

Effective cloud security measures help prevent data breaches, unauthorized access, and service disruptions that could lead to significant financial losses and reputational damage. By implementing robust cloud security practices, companies can confidently leverage the benefits of cloud computing while mitigating associated risks.

What are the types of cloud security solutions?

There are several types of cloud security solutions. While not an exhaustive list, some of them include:

Cloud Infrastructure Entitlements Management (CIEM): Manages access rights and permissions for cloud resources, enabling the principle of least privilege (PoLP) to ensure users access only what they need.
Cloud Detection and Response (CDR): Detects attackers who breach cloud security controls, providing continuous monitoring and alerts for malicious activity, allowing security teams to respond to ongoing threats.
Cloud Native Application Protection Platform (CNAPP): Offers comprehensive coverage of multi-cloud environments, consolidating various security solutions into one platform for effective risk detection, prioritization, and remediation.
Cloud Security Posture Management (CSPM): Identifies and addresses risks, misconfigurations, and compliance violations in cloud infrastructure, helping to minimize the attack surface.
Cloud Workload Protection Platform (CWPP): Secures server workloads in the public cloud by detecting risks such as vulnerabilities, malware, and exposed sensitive data.
AI Security Posture Management (AI-SPM) and AI AppGen Security: Govern the AI models, training data, and inference endpoints organizations deploy, and discover and secure the applications builders create using AI app generation tools.

Is cloud security the same as cyber security?

Cybersecurity covers all forms of digital protection. Cloud security focuses on protecting data, applications, and infrastructure associated with cloud services, while also dealing with issues like multi-tenancy, shared responsibility models, and cloud-specific risks. Cloud security is an essential component of an organization’s overall cybersecurity strategy, especially as more businesses adopt cloud technologies to drive innovation and efficiency.

How is AI-SPM different from AI AppGen Security?

AI-SPM governs the security posture of AI models, training data, and inference infrastructure your organization deploys and operates. AI AppGen Security discovers and secures the applications your builders create using AI app generation tools, often outside traditional development pipelines. Both fall under a modern cloud security program’s AI scope, and both benefit from being correlated with cloud and application risk in a single platform rather than tracked separately.

Introduction to cloud security
Key components of cloud security
2025 State of Cloud Security Report
Cloud security challenges
Types of cloud security solutions
Best practices for implementing cloud security
The future of cloud security
Command your cloud with Orca
Conclusion
FAQs

Table of contents

Introduction to cloud security