Cloud Native Security Failures: Why Attackers Still Win

TL;DR

• Application-security and cloud-security scanners use build-time theory to guess which vulnerabilities pose a risk, flagging issues that may never be executed in production.
• By leveraging Deep Application Inspection (DAI), organizations can achieve runtime truth by observing actual code execution at the library and function level to identify verifiable risk.
• Oligo provides the only runtime security platform that reduces vulnerability backlogs by 90–99% within 48 hours and protects against zero-day attacks with runtime exploit blocking.
• Security teams can now neutralize specific malicious functions in real-time with <0.5% CPU overhead, ensuring protection without causing application downtime.

The widespread adoption of cloud-security scanners shows that security awareness has spread throughout the cloud-native industry. But defenses focused on configuration and known risks rather than on runtime behavior don‘t stop attackers.

Rather than guess the security posture at build time, Oligo Security is a runtime security platform that analyzes application execution behavior to detect and prioritize vulnerabilities that pose active risk. Its Deep Application Inspection observes actual code execution, empowering organizations to identify exactly which code paths are reachable and dangerous.

Deep Application Inspection (DAI) is the foundational technology that powers runtime visibility by observing code execution at the library and function level. By mapping exactly which parts of the codebase (including third-party dependencies) are active in production, DAI identifies provable risk. This granular approach allows security teams to prioritize remediation with surgical precision and block malicious functions with minimal performance overhead.

Why is traditional cloud-native security insufficient

The main reason these tools are insufficient stems from the illusion of coverage. AppSec and cloud security tools, as well as vulnerability management pipelines, enable coverage insights about a variety of artifacts that govern cloud-native deployments. However, the build-time theory of guessing which risks get realized at runtime does not guarantee protection. Just because something is easily measurable doesn’t mean the derived metric is helpful.

Static analysis is limited to identifying potential issues, not actual exploitation. This can bind resources for solving issues that aren’t actually exposed in production, which are missing from vulnerabilities that could actually lead to breaches. Most applications even allow the dynamic inclusion of dependencies, which hides them from static scanners. The proliferation of AI in applications exacerbates this issue by introducing highly non-deterministic behavior.

These limits also apply to configuration-focused security tools, which only assess cloud posture and lack runtime context. This leaves you with no insights into actual execution paths.

While false negatives are one side of this issue, false positives trigger alert fatigue, preventing teams from identifying and remediating the few vulnerabilities that are actually reachable.

How Modern Attacks Actually Work: Runtime Exploitation and Active Risks 

Modern attacks often bypass static security controls by hiding within legitimate functionality, evading static detection, or operating within trusted runtime environments.

Google’s 2026 M-Trends report confirms a long-standing industry shift: Protection needs to operate in real time, at the runtime level, to keep pace with modern attackers. 

Exploitation remains the number one initial access vector, accounting for 32% of intrusions observed by Mandiant. The report highlights a growing trend of “handoff attacks,” where initial access is quickly passed to another actor for follow-on activity, sometimes in under 30 seconds. 

This means signals that might once have been considered low priority, such as a suspicious process, can now represent a much more critical moment in the attack chain. In practice, that places greater emphasis on the ability to detect and stop exploitation in real time. Prevention at the point of exploitation becomes the control point in limiting the impact of an attack.

Let’s review some examples of attacks that evade static security controls.

• Leveraging runtime conditions: Attackers use specific inputs, system states, or timing windows to gain access.‍
• Abusing legitimate functionality: Attackers use admin APIs with stolen credentials, upload malicious content to servers, or misuse workflow features.‍
• Chaining vulnerabilities: Attackers can use leaked sensitive data to bypass authentication, then escalate privileges and execute code.‍
• Injecting malicious serialized data: Attackers send objects that execute code, but they are only ever deserialized into memory, leaving minimal traces.‍
• Living off the land techniques: Attackers use software already installed in the application environment, such as scripting engines, system utilities, and admin tools.‍
• AI-assisted attacks: Attackers use LLM services like Claude to orchestrate espionage campaigns or exploit AI frameworks such as Ray to gain access to computing clusters.

What Are the Risks of Missing Code Execution Visibility?

Most cloud-native security tools only scan infrastructure, configurations, and code, while runtime (e.g., JVM, Python, Node.js, etc.) is often ignored. Yet runtime is where business logic executes and sensitive data is processed, making it a prime target for exploitation. Without code execution visibility, organizations can't distinguish between theoretical risk and active threats.

Let’s look at the risks that arise from a lack of visibility into code execution.

1. Data Exfiltration

Since runtimes usually operate on decrypted data, attackers with runtime access might read sensitive data that is processed. Leaking sensitive customer data alone can harm your reputation. And if this involves health or financial data, you could face serious lawsuits.

2. Service Disruption

With runtime access, an attacker might also be able to crash systems, lock your files with ransomware, or overload services, thereby disrupting your operations. Such attacks can increase downtime, frustrate customers and partners, and lead to lost revenue.

3. Lateral Movement

An attacker with access to runtime can leverage its permissions to compromise other services, escalating access to wider parts of your infrastructure. Lateral access can turn a small breach into a company-wide disaster, increasing damages and recovery costs.

4. Regulatory Exposure

Missing reporting windows because of service disruptions can jeopardize your compliance status. This can lead to costly fines and time-consuming investigations. You may even lose your certification status as a result, which could prevent you from doing business altogether.

How to Modernize Cloud-Native Security

To catch vulnerabilities that often fall through the cracks of build-time theory approaches, you have to change your security approach. Deep Application Inspection monitors actual application behavior to detect and neutralize exploits in real time. By focusing on code execution, it provides the "runtime truth" needed to distinguish theoretical vulnerabilities from active, reachable threats that affect business logic. 

Oligo’s DAI provides total visibility into code execution by reporting exactly which lines of your codebase and third-party libraries run in production, all with minimal CPU overhead.

Instead of just finding vulnerabilities and barraging you with a list of things to patch, Oligo Runtime Vulnerability Management enables you to understand the exploitability of each thread by telling you which code paths are actually reachable and dangerous. For example, Oligo Security helped Cresta reduce vulnerability numbers by over 99%. 

Instead of managing your security posture by hardening configurations, setting policies, or running compliance checks, Cloud Application Detection and Response (CADR) continuously monitors your application behavior in production. This allows you to detect attempts to exploit it in real time and to respond in real time via Runtime Exploit Blocking. 

As a member of the AWS Security Hub Extended, a group of 14 curated vendors, Oligo’s runtime protection is recognized as a proven enterprise solution.

How to Achieve Runtime Truth

Most organizations remain vulnerable because their security tools lack visibility into real-time attacks, relying instead on build-time theories to guess their exposure. Ongoing breaches, despite excessive scanning, reveal that static security can’t fix every vulnerability. 

This occurs when issues aren’t directly reflected in code or configuration files, or when the tools find so many issues that prioritizing them becomes impossible. 

Oligo provides the “runtime truth” by bridging the visibility gap in code execution, allowing you to prioritize and remediate vulnerabilities that can be exploited and block exploit attempts at the point of execution. 

Harden your runtime with Oligo Security. Book a demo today.