Top 5 Cloud Security Trends to Watch in 2024

Research suggests that 60% of the world’s corporate data is stored in the cloud, and for good reason. Businesses using cloud computing can scale usage and their services while remaining cost-effective as compared to setting up on-premise systems

With this increased reliance on cloud services, CIOs, who are at the center of all the things that are happening, are juggling the needs of their IT teams and the newer security concerns that are emerging.

The hybrid work wave, adoption of AI tools and services, and tightening regulations and directives are leaving CIOs working harder than ever to secure their companies from wave after wave of cyber attacks.

This growing dependence on cloud-based systems mirrors the CISO of Google Cloud, Phil Venebles’ observation:

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Use publish code: <blockquote class=”twitter-tweet”><p lang=”en” dir=”ltr”>1. Mass Digitization – &quot;Software Eats the World&quot;. All businesses have or are becoming digital businesses, the amount of software and infrastructure is increasing dramatically. Everything is connected and expected to work 24×7.<br><br>2/13</p>&mdash; Phil Venables (@philvenables) <a href=”https://twitter.com/philvenables/status/1226594473934802945?ref_src=twsrc%5Etfw”>February 9, 2020</a></blockquote> <script async src=”https://platform.twitter.com/widgets.js” charset=”utf-8″></script>

Phil also told SecurityWeek in its 2024’s Cloud and Data Security Summit that adopting a “secure-by-default” and “secure-by-design” approach to cloud security infrastructure would push cloud providers to build products with security baked in from the start.

As cloud infrastructures expand, so does the attack surface. Staying on top of the trends in cloud security is the best way to avoid such attacks and fortify cloud security. As we move into the second half of 2024, knowing these trends will be crucial to changing your cloud approach and staying ahead of possible risks.

The Evolution of Cloud Security

Cloud security has come a long way keeping pace with the growth of cloud computing. In the Cloud 2.0 era, cloud security centers on boosting visibility into potential threats, adding multiple layers of protection, and implementing innovative strategies to safeguard data and applications.

However, security in the cloud wasn’t always this robust.

The Generation I: Early Cloud Security Trends

In the early days of cloud computing—known as Generation I—organizations were navigating a largely uncharted cloud security landscape. Companies encountered new operational models, where traditional security measures were inadequate. Developers were able to use APIs to create tools for accessing and processing data, but this newfound flexibility often overlooked critical security implications.

During this period, teams had to rely on their own security tools, such as firewalls and antivirus solutions, to monitor their cloud security status. These measures, while useful, were quite basic and evolved slowly to offer improved compliance and visibility into public cloud environments.  At first, though, they focused on protecting networks and ensuring configurations were properly set.

While these solutions were useful, they were pretty basic and got better at offering ongoing compliance and insight into the state of the public cloud. At first, though, they focused on protecting networks and ensuring configurations were properly set.

Once an instance went live, it could be reached on the Internet right away. Later, virtual private clouds gave a safer way to use native cloud services by setting up private areas with central entry and exit points. Still, problems remained. For example, while NAT Gateways enabled instances in a private network to communicate with APIs, third-party SaaS platforms like AWS, lacked the ability to inspect or filter the contents of the data packets —  they couldn’t detect deeper security threats like malware, suspicious payloads, or unauthorized access attempts within the network traffic.

During this time, people started to notice a new aspect: cloud identity. Cloud Service Providers introduced identities to make access easier and more controlled. This was a step in the right direction, but there was still a big gap between authorization security and the idea of least privilege, setting the stage for the next generation.

Generation II: Age of SIEMs, CSPMs, and Their Limitations

In Generation II, it became clear that good network security and setups weren’t enough. We needed to look closer at the cloud provider API level. People were collecting API logs, but they lacked the tools to analyze information on API activity and by extension, no practical means to analyze this data in real-time to detect anomalies or potential threats. The contemporary tools were more focused on traditional network and workload security. These tools didn’t provide capabilities to inspect API activity and provide visibility into misconfigurations and unauthorized access.

However gaps such as misconfigurations—often due to improper API settings— persisted. Despite advancements in tools like Cloud Security Posture Management (CSPM), many organizations struggled to implement them effectively, leading to significant security breaches, as evidenced by several high-profile data leaks. With Gartner predicting that by 2025, “99% of cloud security failures will be the customer’s fault,” misconfigurations remain a critical weakness in modern cloud environments.

Platforms using machine learning (ML) began to pop up during this time. They informed cloud customers about irregularities in their setups. ML models, trained on historical data, can easily identify anomalies in API activity and discriminate between what is normal API activity and not. For example, if an API key was used from an unexpected location or if the number of API calls suddenly surged, these platforms detected and alerted their users. These ML-enhanced platforms can also send real-time notifications to cloud administrators through dashboards, emails, or integrated security tools like SIEMs (Security Information and Event Management systems).

During this same period, when serverless setups came along, things changed a lot. This was true for users who knew old-school security tools like antivirus and IDS/IPS. But even after logging API activity in the serverless world, looking at those logs became vital. This wave of cloud security tools saw the importance of catching and checking cloud activity even when using platform-as-a-service (PaaS) options.

Cloud Security Today: Proactive Defense, DevSecOps & Automation

Now, the cloud security Trends has changed dramatically. We’re tackling fast-growing containers, serverless setups, infrastructure-as-code (IaaS), and platform-as-a-service (PaaS).

DevSecOps methods have improved, making the whole process safer and more automatic, with security right in the middle. Cloud security looks brighter and stronger than ever.

These days, developers can create and launch safe cloud setups across different providers. Site reliability experts get the go-ahead to use infrastructure-as-code and build huge scalable systems. Even now, firewall managers plug cloud-based tools into the CI/CD process adding more automation to old-school security fixes—a nod to the “shift-right” idea.

This shows how far we’ve come and hints at how cloud security will keep changing. As cloud tech keeps moving forward so will the safety measures and best ways to protect sensitive info and key systems in the cloud.

Key Cloud Security Trends in 2024

These are exciting times for cloud security. The cloud security landscape is changing tremendously, along with several key leading trends.

Let’s explore the five key trends shaping the future of security in the cloud.

#1. Surge in Remote Work and Zero-Trust Security Approach

The COVID-19 pandemic accelerated cloud adoption, creating new avenues for cyber threats. There has been a 47% rise in cybersecurity attacks, which include phishing, as employees work from home.

The nature of remote work has made this even more decentralized, introducing vulnerabilities, especially in endpoint cyber hygiene, where 70% of organizations face these challenges. Most organizations also use dozens of shadow IT applications, many of which are badly configured.

To counter these, 87% of organizations now focus on a zero-trust approach that strictly verifies each request for access based on user identity, device, and location, following the principle of least privilege.

#2. Growing Focus on Intelligent Security Investments

Artificial Intelligence (AI) and Machine Learning (ML) have become vital cybersecurity tools, going beyond malware protection.

But what’s all the buzz about?

With evolving cyber threats and an explosion of connected devices, AI is ideally suited to tackle some of our toughest challenges. For example, organizations face a vast attack surface, often managing tens or even hundreds of thousands of devices. Add to that hundreds of potential attack vectors, a significant shortage of skilled security professionals, and massive amounts of data that have outgrown human-scale problem-solving. 45% of professionals believe that AI can outperform human analysts in detecting fraud, maintaining controls, and managing security events.

In this complex environment, AI and ML are helping organizations “keep up with the bad guys” by automating threat detection and response far more efficiently than traditional software-driven approaches. In a recent survey, 90% of the surveyed respondents believed that AI and ML were necessary for developing their cloud strategies, while 32% planned to invest extensively in AI-driven cybersecurity within the next 12 to 18 months.

Traditionally, AI and ML have been used to identify and prevent malware, phishing, and other types of threats. In the coming years, the role of AI will broaden as more cloud services are developed for automating tasks, such as user access management and reducing human error.

AI and ML can analyze datasets in real time, spotting anomalies and potential threats that might slip past human analysts. This capability enables faster and more accurate responses to phishing attempts and malware, significantly enhancing cybersecurity readiness.

Moreover, these technologies streamline routine tasks like user access management, reducing human error and ensuring consistency. The cybersecurity workforce shortage is expected to reach 1.8 million, 88% of workloads are expected to be autonomously updated by 2025. AI solutions will continually learn and adapt to new threats, proactively predicting vulnerabilities, and helping organizations stay one step ahead of cybercriminals.

#3. Incorporating Security in DevOps

The more automated DevOps becomes, the more organizations (46%) drive the DevSecOps to include security controls within continuous integration. A spike in demand for new applications has businesses creating apps faster than they can actually implement new security controls, creating what some call a “pace gap.”

Because of this, more and more organizations are incorporating security automation into the production cycle to avoid inefficiencies and reduce risks once a service is live before total security measures are in place. The result? Enhancements in application security.

DevSecOps has become a significant enabler in this transformation, automating cybersecurity and managing the Continuous Integration/Continuous Delivery (CI/CD) toolchain that handles the app lifecycle.

About 40% of the organizations surveyed say DevSecOps improves collaboration among development, infrastructure, and security teams, while the same percentage finds it boosts operational efficiency.

By incorporating security controls throughout the DevOps process, IT leaders can shift from mere incident response to proactive strengthening of their security posture.

#4. CISOs Taking on More Roles Than Ever

Over the past year, organizations have shifted their focus to cloud readiness and digital transformation, putting more responsibility on CISOs than ever before.

The role has expanded so much that 73% of companies are either hiring or planning to hire a CISO with advanced cloud skills, while 53% are bringing in BISOs (Business Information Security Officers) to better integrate cybersecurity into daily operations.

Today’s CISOs are leading cybersecurity, driving digital change, and leading cloud initiatives. This shift means they’re working closely with business leaders to align processes with cloud strategies.

#5. The Rising Demand for Greater Visibility in Cloud Security

In 2024, the average cost of a data breach reached $4.88 million, reflecting a 10% increase over the previous year and marking the highest total ever recorded. Organizations lacking capabilities to monitor data flows, identify misconfigured settings, or any shadow IT that employees use are more vulnerable to issues such as data exfiltration, unauthorized access, etc. According to Thales’s 2024 Cloud Security Study, misconfiguration is one of the leading causes of cloud breaches.

With increasing threats to cloud security and mounting regulatory demands, organizations need a zero-trust security model. This means that the organization will treat every entity with skepticism, and enforce least privilege access. It also includes using  CSPM and SIEM tools to ensure proper configurations and comprehensively monitor data, implement workflows to detect and remediate anomalies in the cloud.

Unlike their predecessors which weren’t able to scale to the dynamic nature of cloud workloads, CSPMs and SIEMs incorporate features such as real-time monitoring, automated alerts, and comprehensive reporting, significantly enhancing visibility across the cloud environment.

For continuous protection, one must also consider the security of the entire infrastructure—right from databases to identity and access management.

Best Practices for Staying Ahead of Cloud Security Threats

As cloud environments continue to change, so do the threats targeting them. Staying ahead of cloud security threats requires a proactive approach that integrates best practices across multiple areas of cloud management.

Here are some best practices for ensuring robust cloud security.

#1. Educate Employees on the Shared Responsibility Model and Cloud Security Threats

Ensuring cloud security begins with a solid understanding of the shared responsibility model, which defines the partnership between the provider and the customer. In this partnership, cloud providers are responsible for the security of the underlying infrastructure, while customers must secure their data, applications, and configurations.

To enhance security within the cloud ecosystem, organizations must invest in regular training sessions tailored to different roles within the organization. These sessions should cover the shared responsibility model and the latest cloud-specific threats, utilizing various formats such as workshops, online courses, and simulations.

Assessing employees’ understanding through quizzes or practical exercises is essential to ensure knowledge retention. Additionally, fostering a culture of continuous learning with refresher courses will help staff recognize potential risks, understand safe practices, and become vigilant against emerging threats.

An informed workforce is crucial, as human error accounts for 88% of data breaches, according to a study by Stanford University and Tessian.

By empowering employees with knowledge, organizations can strengthen their defenses against phishing attacks, social engineering, and other common vulnerabilities.

#2. Ensure DevOps Security

Organizations should adopt practices that incorporate security at every stage of the DevOps pipeline, often referred to as DevSecOps. This includes automating security testing with tools like static application security testing (SAST) and dynamic application security testing (DAST), implementing continuous monitoring, and ensuring compliance throughout the software development lifecycle, particularly for cloud-native applications.

Research indicates that adopting DevSecOps can help organizations reduce security-related costs by up to 30% while decreasing the time to resolve vulnerabilities by as much as 20%.

By fostering a security-first culture within DevOps teams, organizations can mitigate risks associated with rapid deployments and frequent code changes. This proactive approach not only enhances security but also aligns with the evolving trends in cloud computing, ensuring that security is a shared responsibility across all teams.

Furthermore, organizations should address common challenges—such as resistance to change or integration difficulties—by providing regular training and promoting cross-team collaboration.

Leveraging DevSecOps practices in the cloud can also help meet regulatory compliance requirements, creating a robust security framework that protects sensitive data and maintains customer trust.

#3. Implement Strong Identity and Access Management (IAM)

With the increasing number of users and devices accessing cloud services, organizations face significant risks if they do not manage identities effectively. Identity and access management (IAM) is crucial for cloud security because it directly addresses key vulnerabilities associated with unauthorized access and data breaches.

To understand the role of IAM, it’s important to identify the key problems it addresses:

• Unauthorized access: Without proper IAM, organizations risk exposing their data to unauthorized users, leading to potential breaches
• Compliance risks: Regulatory frameworks often require stringent access controls, making IAM essential for meeting compliance standards
• Managing user permissions: As organizations scale and adopt more cloud services, managing user permissions becomes increasingly complex. IAM helps streamline this process

Modern IAM solutions are equipped with various advanced features designed to enhance security further. For example, role-based access controls (RBAC) ensure that users are granted only the permissions necessary for their specific roles, thereby minimizing exposure and limiting the impact of any security incidents.

Another essential feature is multi-factor authentication (MFA). By requiring users to verify their identities through multiple methods, MFA adds a critical layer of security that significantly reduces the risk of unauthorized access, even if credentials are compromised.

In addition to these, many IAM solutions offer adaptive authentication. This innovative feature assesses user behavior and context—like location and device usage—to dynamically adjust access requirements based on risk levels. This adaptability ensures that access is granted judiciously, further protecting sensitive information.

Lastly, single sign-on (SSO) capabilities simplify user access across various applications, improving user experience while maintaining security. By reducing password fatigue, SSO not only streamlines access but also mitigates associated security risks.

By leveraging these advanced IAM features, organizations can effectively mitigate risks and foster a secure cloud environment, positioning themselves to stay ahead of evolving threats.

#4. Continuous Monitoring and Incident Response

Threat detection and response are essential in real-time cloud environments. Organizations must leverage solutions that provide global visibility into their cloud infrastructure while utilizing AI and ML to enhance their security posture. These advanced technologies can analyze vast amounts of data in real time, identifying suspicious activity and generating automated alerts, allowing for quicker responses to potential threats.

Take SentinelOne, for example. Its innovative Deep File Inspection (Static AI) engine is a game changer in next-generation endpoint protection. It identifies and prevents advanced threats while performing robust static analysis. It uncovers and blocks file-based malware before it executes—without relying on signatures.

With Static AI, the SentinelOne Endpoint Protection Platform (EPP) is the only solution that seamlessly combines advanced static prevention with dynamic behavior-based detection all in one platform. Built on the same cutting-edge machine learning technology that powers its award-winning behavior-based detection, the Static AI engine has earned top scores in validation tests from AV-Comparatives and AV-TEST, marking it as the first certified AV replacement for macOS.

To maximize their security efforts, organizations must couple robust monitoring with a well-defined incident response strategy. This approach allows them to react swiftly to breaches and minimize potential damage. Regularly testing and updating their incident response plans is crucial to staying effective against evolving threats, especially as cybercriminals continuously refine their tactics.

#5. Data Encryption and Backup

Protecting data in transit and at rest through encryption is non-negotiable in cloud security.

Protocols such as Transport Layer Security (TLS) secure data as it travels over insecure networks, while the Advanced Encryption Standard (AES) is widely adopted for encrypting data at rest. This ensures that even if an attacker gains access to the storage system, the data remains unreadable without the proper decryption keys.

However, as cyber threats evolve, organizations must adopt more sophisticated strategies.

Implementing AI and ML can enhance encryption processes by automating key management and identifying anomalies in data access patterns. These technologies can adapt encryption methods based on the sensitivity of the data and the context of its use, providing an extra layer of security.

Additionally, backups are needed regularly. They provide a path of recovery if there is data loss or a ransomware attack. Organizations should ensure that backups are stored securely and tested regularly for integrity.

AI can help here, too.

It can optimize backup processes by analyzing data usage patterns to identify which data needs backing up and how often. This ensures that critical information is preserved without wasting resources on unnecessary backups.

Enhancing Cloud Security With SentinelOne

SentinelOne leverages AI-driven threat detection and response to secure cloud environments. It offers advanced protection through the Singularity Cloud Workload Security for Serverless Containers platform, which is designed for AWS Fargate, Amazon ECS, and Amazon EKS.

SentinelOne’s Singularity™ Cloud Native Security is designed to offer a comprehensive, AI-powered approach to cloud protection, helping organizations secure their infrastructure with end-to-end visibility and automated threat detection.

The platform’s Offensive Security Engine and Verified Exploit Paths™ simulate cyber attacks to expose real vulnerabilities, enabling faster remediation while reducing false positives. This approach allows security teams to focus on true threats and gain a proactive stance against evolving cyberattacks.

Its key features include:

• AI-Powered Threat Detection instantly identifies and neutralizes real threats by simulating attacks in real time.
• Secret Scanning Engine that detects over 750 types of secrets, such as AWS and GCP tokens, ensuring safe cloud environments.
• Support for Major Cloud Providers that seamlessly integrates with AWS, Azure, GCP, and more for agentless onboarding and multi-cloud coverage.
• Cloud Workload Protection (CWP) for secure containers, VMs, and serverless environments that continuously monitor vulnerabilities.
• Compliance Management for real-time compliance scores and alignment with over 29 frameworks, including HIPAA, PCI DSS, and SOC2.
• Infrastructure as Code (IaC) Scanning that automatically scans code repositories for vulnerabilities before deployment, and more.

Future-Proof Your Cloud Security Strategy With Sentinel One

The future of cloud computing and cybersecurity is both exciting and challenging.

We’re seeing breakthroughs like quantum-resistant encryption and zero-trust architectures that could transform how we secure our digital assets.

To stay ahead in this evolving landscape, SentinelOne offers advanced solutions to safeguard your cloud environment. Book a demo today to discover how we can enhance your cloud security!

FAQs

1. What are the top cloud security trends for 2024?

In 2024, key trends include a rise in zero-trust security models due to increased remote work, a growing reliance on AI and ML for threat detection, the automation of security in DevOps, the expanded roles of CISOs, and a focus on enhancing visibility across cloud environments.

2. Why is zero-trust security becoming more important?

Zero-trust security is crucial due to the increase in remote work and decentralized IT environments, which have exposed new vulnerabilities. It ensures that every access request is validated based on identity, device, and location.

3. How are CISOs’ roles evolving?

Earlier CISOs were relegated to the role of solving technical gaps that can further the security of the organization. However, executives are asking CISOs to blend cybersecurity initiatives with business objectives such as protecting valuable assets and influencing business decisions. For example, with the increase in the adoption of remote and hybrid work, CISOs must be more proactive in planning security initiatives such as access management, data monitoring, incident response, and management and compliance that make remote work safe for the company and the employee. By ensuring remote work can seamlessly, CISOs can enable HRs to hire profound talent in low-cost economies and reduce hiring costs. This shift also means that CISOs will be directly reporting to CEOs instead of reporting to a CIO or a CTO.

4. What strategies should organizations use to stay ahead of cloud security threats?

Organizations should understand the shared responsibility model, implement strong identity and access management (IAM), continuously monitor their cloud environments, ensure data encryption and backup, and provide regular employee training.