Top Security Issues in Cloud Computing and How to Fix Them

When we talk about the most damaging security issues in cloud computing, people often picture sophisticated, state-sponsored attacks. But the reality is far less glamorous and, frankly, much more preventable.

The vast majority of significant financial and reputational damage doesn't come from headline-grabbing zero-day exploits. It comes from everyday mistakes: overlooked cloud misconfigurations, weak identity controls, and insecure APIs.

The Surprising Truth About Cloud Security in 2026

In our rush to embrace the agility and scale of the cloud, it's easy to get the fundamentals wrong. Many organisations focus on advanced threat detection systems while leaving the digital equivalent of their front door wide open.

Neglecting these basics is like building a state-of-the-art office complex but forgetting to lock the doors or install a proper alarm system. The building looks impressive, but its security is completely compromised by simple oversights. This is precisely the situation many businesses find themselves in today.

Understanding Your Role: The Shared Responsibility Model

A core concept that many teams still struggle with is the Shared Responsibility Model. It’s not just jargon; it’s the dividing line between your security duties and your provider's.

Think of it like this: your cloud provider (like Amazon Web Services or Google Cloud) is responsible for securing the ‘cloud’ itself. They protect the physical data centres, the hardware, and the global network. They provide the secure "land" for you to build on.

Your responsibility is to secure what you build in the cloud. This means you are on the hook for:

• Controlling who gets a key: This is your Identity and Access Management (IAM).
• Ensuring doors and windows are locked: Securing your storage buckets, databases, and network access.
• Setting up a reliable surveillance system: Implementing proper logging and monitoring to see what's happening.

The following diagram perfectly illustrates how misconfigurations form the weak foundation upon which other security failures are built.

As you can see, misconfigurations aren't just one issue among many. They are a root cause, creating a domino effect that leads to data exposure, unauthorised access, and worse.

The Eye-Watering Cost of Simple Errors

These simple mistakes have staggering consequences. In the UK, cloud misconfigurations have become a critical vulnerability, with recent data showing they are the root cause of over 31% of cloud breaches.

These aren't minor hiccups. The average cost for a data breach originating from a cloud misconfiguration hit $5.32 million per incident in 2025. What's worse, an estimated 32% of all cloud infrastructure is 'shadow IT'—idle and untracked—with each of these forgotten assets carrying an average of 115 vulnerabilities. You can find more detail in recent reports on cloud security statistics and their financial impact.

The most pervasive security issues in cloud computing are the ones we create ourselves. Preventable errors in configuration and access control are responsible for the majority of data breaches, turning the cloud's greatest strengths—flexibility and scale—into significant liabilities.

Realising this is the first and most crucial step. The rest of this guide is designed to show you how to find these open doors and, with the help of automated tools like AuditYour.App, finally secure your side of the shared responsibility deal.

Uncovering the Silent Threat of Cloud Misconfigurations

When we talk about cloud security problems, it's easy to picture sophisticated hackers carrying out complex attacks. But in reality, one of the most devastating threats isn't complex at all. It's cloud misconfigurations.

Think of it less like a master thief cracking a high-tech vault and more like someone leaving the front door of the office unlocked overnight. These aren't elaborate hacks; they are simple, avoidable human errors. A developer might accidentally set a storage bucket to 'public' during a late-night debugging session, or a subtle mistake could be made in a database security rule. The outcome is always the same: sensitive data is left wide open to the internet.

Why Do Misconfigurations Happen So Often?

These mistakes are incredibly common, and it usually boils down to a mix of human error, the sheer complexity of modern cloud environments, and gaps in security training. Cloud platforms like AWS, Google Cloud, and even Backend-as-a-Service (BaaS) platforms like Supabase offer hundreds of services, each with its own set of configuration dials.

With so many moving parts, even a seasoned developer working under pressure can make a mistake. A single unchecked box or one flawed line of policy code is all it takes to open up a critical vulnerability. This problem is made worse by a persistent skills gap—development teams are often focused on building features, not necessarily trained to think like an attacker.

A cloud misconfiguration is any setting or security control in a cloud environment that hasn't been configured correctly, leaving the system vulnerable. It's no surprise that recent studies show human error is a factor in over 80% of all data breaches, with misconfigurations being a top cause.

Common Examples in Modern Development Stacks

So, what do these errors look like in practice? For developers using platforms like Firebase or Supabase, they often appear in a few specific, high-risk areas.

• Public S3 Buckets: This is the classic, textbook example. A developer, needing to share an asset quickly, makes a storage bucket publicly readable. They mean to lock it down later, but they forget. Suddenly, everything from customer invoices to internal strategy documents is exposed.
• Unprotected Serverless Functions: Imagine a cloud function is built to process payments, but its trigger permissions are left open. An attacker could call this function repeatedly, either to rack up enormous costs or, in a worst-case scenario, execute malicious code.
• Overly Permissive Database Rules: This is a massive risk, especially on BaaS platforms. For example, a simple logic error in Supabase's Row Level Security (RLS) could accidentally expose every user's private data to any other authenticated user. We cover this in depth in our guide on how to properly secure your database security rules.

The following table breaks down just how quickly these small mistakes can escalate into major business disasters.

Common Cloud Misconfigurations and Their Impact

This table highlights some of the most frequent misconfigurations we see, the potential damage they can cause, and the best way to prevent them.

| Misconfiguration Type | Potential Business Impact | Primary Prevention Method | | :--- | :--- | :--- | | Public Storage Bucket | Massive data leak, compliance fines (GDPR, etc.), reputational damage | Strict access control policies and regular audits | | Permissive Database Rules (RLS) | Unauthorised access to sensitive user data, data theft, account takeover | Rigorous policy testing and logic fuzzing | | Unprotected Serverless Functions | Denial-of-service attacks, unauthorised code execution, financial loss | Enforce authentication and authorisation on every function |

Each of these issues stems from a failure to implement and verify security controls, a task that becomes harder as systems grow more complex.

Attack Scenario: A Single RLS Mistake

Let’s walk through a scenario to see how a tiny configuration error can spiral into a catastrophe. A startup is building a new social app on Supabase. A developer writes a Row Level Security policy to make sure users can only read their own private messages.

However, they make a small logical mistake in their SQL code, using OR where they should have used AND. The rule now essentially says, "allow access if the user is the message owner OR if the user is logged in." The disastrous effect? Any authenticated user can now query the messages table and pull down every single message from every user on the platform. An attacker finds this flaw, writes a simple script, and exfiltrates the entire message history in minutes.

The critical thing to realise is that this isn't a vulnerability in Supabase itself—it's a human configuration error. This is precisely where automated tools like AuditYour.App become indispensable. They act like a tireless security expert, methodically checking every configuration. Instead of just looking for a simple "public" flag, they test the actual logic of your RLS policies to find these subtle but fatal flaws, flagging them long before an attacker gets the chance.

Managing Identity and Access Management Failures

In the cloud, the old idea of a secure network perimeter—a digital fortress with high walls—is completely gone. Forget the moat and drawbridge; today, identity is the new perimeter. Who has access to what, and what they can do once they're in, has become your most critical line of defence. When this line breaks, it’s not just a minor issue; it’s an open door for a data breach.

Think about it like this: you're in charge of security for a huge office block. Instead of giving people keys only to the rooms they need, you hand out a master key to everyone. It’s simple and convenient, for sure. But the moment one of those keys is lost or stolen, your entire building is at risk. That's exactly the gamble many organisations are taking with their cloud Identity and Access Management (IAM).

This picture gets right to the heart of it, showing how easily controls can fail. From leaked API keys to users gradually collecting far too many permissions, each failure is an invitation for an attacker to walk right in.

The Danger of Over-Privileged Access

The root of the problem often lies in some all-too-common habits. We see it constantly: weak or reused passwords, a lack of Multi-Factor Authentication (MFA) on critical accounts, and the ever-present threat of leaked API keys. These keys, which grant programmatic access to your cloud services, are often just hardcoded straight into application source code.

This carelessness gives rise to a dangerous effect we call privilege creep. As people change roles or applications get new features, their access rights just keep accumulating. An employee who moved from marketing to engineering might still have access to sensitive customer data they no longer need, creating an unnecessary risk.

It's the same story with service accounts. A microservice built for one small task might be given broad permissions for a new function and never have them revoked. Over months and years, these accounts—both human and machine—end up holding a powerful collection of "master keys," making every user and every service a prime target.

How a Leaked Key Becomes a Catastrophe

Let's walk through a scenario that plays out far too often. A developer, trying to get a new feature out the door, accidentally commits code with a production API key to a public GitHub repository. It happens. The problem is, attackers run automated scanners that find these keys within minutes.

With that one key, the attacker has a foothold. They can start making authenticated requests, mapping out your systems, and hunting for ways to gain more power. If that key belongs to an over-privileged account, they could suddenly have the ability to read your most sensitive data, change your security settings, or even create new admin accounts for themselves. It's a direct path to a complete takeover.

The Principle of Least Privilege (PoLP) is the bedrock of strong IAM. It’s a simple rule: every user, programme, or process should only have the bare minimum permissions needed to do its job. Anything more is a disaster waiting to happen.

This isn't some theoretical threat. Identity-based attacks are now one of the most significant security issues in cloud computing. In fact, access control failures are now the second-most dangerous threat to UK cloud infrastructure, with a staggering 75% of cloud security breaches reportedly caused by poor identity, access, or privilege management. It's so serious that some analysts predict 80% of organisations will suffer cloud data breaches in 2026 because of these exact failures. You can learn more about these top cyber threats facing UK businesses.

This is why you have to be proactive about managing secrets and permissions—it's non-negotiable. For a deeper look at locking down credentials, check out our guide on API key management best practices. Automated tools like AuditYour.App are built specifically to find these kinds of exposures. They act as a digital security guard, scanning public code and your own applications for leaked secrets before an attacker can find them.

4. Securing Your APIs and Backend Endpoints

Think of Application Programming Interfaces (APIs) as the plumbing of your application. They’re the essential pipes that carry requests and data between your user interface, your database, and other services. They make everything work, from logging in on a mobile app to processing a complex financial transaction. But because they're so deeply connected, a single leaky pipe—an insecure API—can flood your entire system. This makes them one of the most critical security issues in cloud computing we see today.

Imagine your backend is a secure vault. The APIs are the armoured trucks that move assets in and out. If one of those trucks has a weak lock or an unvetted driver, it doesn't matter how strong the vault is. Attackers know this. They aren't trying to blow open the vault door; they're looking for that one insecure truck they can hijack.

A vulnerable API endpoint can be a goldmine, giving an attacker a direct line to sensitive user data, a way to shut down your service, or even a foothold into your entire cloud infrastructure.

Where API Security Tends to Break Down

In our experience, API vulnerabilities often come from simple, yet critical, oversights. Because APIs don't have a visible user interface, they can feel a bit "out of sight, out of mind" during development, leading to common, dangerous mistakes.

Here are the weaknesses we see most often:

• Broken Authentication: This is when an API endpoint simply doesn't check who is making a request. It’s like a bouncer at an exclusive club letting absolutely anyone walk in without checking their ID or invitation.
• Excessive Data Exposure: This happens when an API sends back more information than is strictly necessary. An endpoint designed to show a user's name might also return their private email and phone number in the background. An attacker sniffing the traffic can easily grab all that extra data.
• Lack of Rate Limiting: Without limits on how often an API can be called, an attacker can hammer it with thousands of requests a second. This is a classic way to guess passwords through brute force, crash your servers with a Denial-of-Service attack, or just run up your cloud bill.

For platforms like Supabase, this danger is especially pronounced with Remote Procedure Calls (RPCs). These are custom database functions you expose as API endpoints. An unprotected RPC is like leaving a terminal with database admin rights open to the internet.

Attack Scenario: An Exposed RPC Endpoint

Let's walk through a real-world scenario. A developer, trying to be helpful, creates an RPC function called delete_user_data. It’s intended for admins to process data deletion requests under GDPR. In a rush to get the feature out, they forget to add any security rules to check if the person calling the function is actually an admin.

An attacker, just by probing your API, discovers this unprotected endpoint. Now, with one simple, unauthenticated command, they can call the delete_user_data function for any user ID they want. They could target a high-profile account for malicious deletion. Worse, they could write a quick script to loop through all user IDs and systematically wipe every single account in your database. The damage would be immediate and catastrophic.

An API is a promise. It promises a specific function will be performed when called correctly. Securing that API means ensuring that promise is only ever fulfilled for authorised users under the right conditions. Anything less is an open invitation for abuse.

This isn't a theoretical exercise; it’s a direct consequence of failing to secure backend functions. For a deeper dive, our guide on API security best practices offers a more detailed checklist.

Fixing these risks starts with treating every single endpoint as a potential entry point. Strong authentication and authorisation aren't optional. This is exactly what tools like AuditYour.App are designed for. It moves beyond simple checks for public access and actually tests your API logic and RPC functions, finding the kinds of data leaks and manipulation flaws that attackers look for, long before they get the chance.

Here's the rewritten section, designed to sound like it was written by an experienced human expert.

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Navigating Other Critical Cloud Security Risks

It’s easy to get tunnel vision, focusing only on the usual suspects like misconfigurations or identity failures. But I’ve seen too many teams get blindsided by threats that, while maybe less common, can be just as devastating. To build a security posture that actually holds up in the real world, you have to look at the entire ecosystem—from the code you write to the third-party services you depend on.

Let's pull back the curtain on a few of these other critical risks that often fly under the radar until it's too late.

The Dangers of a Compromised Supply Chain

Nobody builds software in a vacuum anymore. Modern applications are stitched together from a complex web of open-source libraries, third-party APIs, and managed services. This network of dependencies is your digital supply chain, and its integrity is everything. A supply chain attack is when a threat actor poisons one of those trusted components to sneak malicious code into your environment.

Think of it like running a restaurant with a network of trusted food suppliers. If someone at the spice factory taints a batch of paprika, every dish you make with it becomes a problem. You did everything right in your own kitchen, but you’re still serving up a compromised product because of a weakness far upstream.

A supply chain attack cleverly sidesteps your direct defences by hitting a weaker link in your chain of trust. You end up inheriting vulnerabilities from components you didn’t build and can't easily inspect.

So, how do you defend against this? It really boils down to rigorous dependency scanning and management. This isn't a one-time task; it's a continuous discipline.

• Vet your libraries: Before you npm install a new package, do your homework. Check its history, who maintains it, and if it has any known security issues.
• Scan constantly: Use tools to regularly scan your project’s dependencies for any newly discovered flaws and patch them immediately.
• Keep it minimal: The fewer external components you rely on, the smaller your attack surface. Be ruthless about culling what you don't truly need.

This disciplined approach is the only way to ensure the "ingredients" you use to build your software are safe.

Managing Data Residency and Compliance Rules

Where your data physically lives is no longer just a technical detail—it's a critical legal requirement. Data residency refers to the geographical location where your organisation's data is stored. Many regions, most famously Europe with its GDPR, have strict laws governing how and where personal data can be processed. Getting this wrong can lead to eye-watering fines and a complete loss of customer trust.

Imagine you're a property developer. You can't just build the same skyscraper in London, Tokyo, and New York. Each city has its own unique building codes, zoning laws, and safety regulations. Data residency and compliance are the digital world's equivalent; you have to play by the local rules.

The risk here is pure legal and financial jeopardy. A classic mistake is spinning up a new cloud service that defaults to storing data in a US region, even though your users are in Europe. Without the proper legal safeguards in place, that simple oversight can put you in breach of the GDPR, leading to serious penalties.

The most important control is to explicitly configure your data's location. Whenever you set up a new cloud service, make a conscious choice to select a region that aligns with your legal and compliance obligations. And just as importantly, make sure your cloud provider offers the contractual guarantees to back those choices up.

The Blind Spots of Insufficient Logging and Monitoring

If someone breached your cloud environment right now, would you even know? More importantly, could you figure out what they did? Without proper logging and monitoring, you are flying completely blind, and this is one of the most painful lessons a team can learn.

Trying to investigate a breach without logs is like showing up to a crime scene with no witnesses, no CCTV footage, and no alarm records. You know something bad happened, but you have no clue how the intruders got in, what they took, or how to stop them from coming back tomorrow.

This isn't just theoretical. The rise of cloud-targeting ransomware has made this a top concern for UK organisations. In fact, over the past 18 months, a staggering 57% of all business-critical incidents in the UK happened, and the National Cyber Security Centre reported that nationally significant incidents shot up to 48% (204 incidents) of all reports between September 2024 and August 2025. That’s a massive jump from just 89 the previous year. For developers and startups using platforms like Supabase or Firebase, this trend is a clear warning: you need automated security scanning and continuous monitoring to catch misconfigurations and leaked credentials before they're exploited. You can read more in the full report on UK cybersecurity trends for 2026.

Your defence is to implement centralised, actionable logging. This means turning on detailed logs for every service you use—from database queries to API calls—and funnelling them into a central system. But just collecting logs isn't enough; you need intelligent alerts that trigger on suspicious events, turning a sea of raw data into security intelligence you can actually act on.

Building a Proactive Cloud Security Programme

After diving into the weeds of data exposure, misconfigurations, and all the other ways your cloud can go wrong, it's easy to feel a bit overwhelmed. We've seen just how complexity and simple human error can create the perfect storm for a breach. So, where do we go from here? It's time to stop just talking about problems and start building a real, lasting solution to get you in command of your cloud security.

Real security isn't a project you complete or a box you tick. It’s a continuous habit, a rhythm you build into your team's workflow. It’s about being proactive instead of constantly reacting to emergencies. The best way I've found to think about this is through a simple but incredibly powerful concept I call the "Security Flywheel".

Introducing the Security Flywheel

Imagine a heavy flywheel. Getting it to turn the first time takes a bit of effort, but each push makes the next one easier. Soon, it's spinning with its own momentum, requiring only small, consistent nudges to keep it going. That's exactly how we want to approach security.

The Security Flywheel is a straightforward, repeatable cycle that builds on itself, making your security posture stronger with every rotation. It transforms security from a dreaded chore into a core, predictable part of how you operate.

It all boils down to three actions:

1. Scan: You can't fix what you can't see. The first step is always visibility. Use an automated tool to run a deep scan across your entire cloud environment. This gives you a baseline reality check, uncovering everything from glaring misconfigurations and leaked API keys to subtle logic flaws in your database rules.

2. Remediate: With a clear, prioritised report of what’s broken, your team can get to work. Don't try to boil the ocean; tackle the most critical issues first. Good tools, like AuditYour.App, not only pinpoint the problems but also give you actionable advice and even code snippets to make fixing them fast and accurate.

3. Monitor: Once you've cleaned house, you need to make sure it stays clean. Set up continuous, automated monitoring to watch for configuration drift—those small, unnoticed changes that creep in over time. This keeps an eye out for new vulnerabilities introduced with code updates and any other signs that you're sliding backwards.

This simple loop—Scan, Remediate, Monitor—becomes the engine of your security programme. Each scan makes your remediation more targeted, and every fix makes your monitoring smarter.

The goal of the Security Flywheel is to make good security the path of least resistance. By embedding this simple, continuous loop into your development lifecycle, you move from a state of reactive firefighting to one of proactive control and confidence.

This isn't about blocking progress or adding overhead. In fact, it does the opposite. When your team has a clear, automated way to manage risk, they can innovate and ship code faster. They trust that a safety net is in place, ready to catch potential issues before they ever become a crisis. Building this proactive habit is the only real, long-term solution to the security challenges we've discussed.

Frequently Asked Questions About Cloud Security

As you get to grips with securing your cloud environment, a few common questions always seem to surface. Let's tackle some of the most frequent ones I hear from developers and founders.

What Is the Single Biggest Security Risk in the Cloud?

It’s tempting to think the biggest threats are sophisticated, zero-day attacks you see in the news. In reality, the most frequent and costly risk is far simpler: human error. Preventable cloud misconfigurations are responsible for more data breaches than most targeted hacking campaigns.

A single oversight, like forgetting to set a cloud storage bucket to private, can expose gigabytes of sensitive data to the entire internet in an instant. This is exactly why automated security scanning isn't a 'nice-to-have'; it's your essential first line of defence to catch these simple but devastating mistakes.

How Does Shared Responsibility Work with Supabase?

The shared responsibility model applies to platforms like Supabase just as it does to AWS or Google Cloud. Supabase takes on the heavy lifting of securing its core global infrastructure—the physical data centres, the servers, and the underlying network. That's their side of the bargain.

However, you are 100% responsible for securing the application you build on top of their platform. This includes things like:

• Writing correct Row-Level Security (RLS) policies to ensure users can only access their own data.
• Protecting all your API keys and project credentials from being exposed.
• Properly managing user roles and access permissions within your application.

Think of it this way: Supabase provides the secure plot of land and the building foundation, but you are the architect responsible for designing a secure building with locks on all the doors and windows.

Can My Mobile App Create a Security Risk for My Backend?

Absolutely. A common trap developers fall into is thinking that security is only a backend concern. Attackers know that mobile apps can be a goldmine for secrets, and they regularly decompile mobile app files (APKs for Android, IPAs for iOS) to hunt for hardcoded credentials.

If an attacker finds a service role API key sitting inside your app's code, they've hit the jackpot. They can use that key to directly attack your backend, bypassing any security measures you’ve built into the frontend.

You can't truly secure your backend if your frontend is leaking sensitive credentials. Both must be treated as a single, connected attack surface.

What Is the First Step to Improve My Cloud Security Today?

Start with visibility. It's impossible to fix problems you don't even know exist. The most impactful first step you can take is to run an automated security scan to get a clear, unbiased baseline of your current security posture.

A good scan will immediately pinpoint your most critical risks, like publicly exposed data or dangerously permissive database rules. It gives you a prioritised to-do list, letting you focus your energy on fixing the vulnerabilities that pose the greatest threat to your business right now.

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Secure your application before attackers find the flaws. AuditYour.App is a modern security scanner for Supabase, Firebase, and mobile apps that finds critical misconfigurations before they can be exploited. Get an instant, actionable security audit at https://audityour.app and move from risk to resilience in minutes.