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Modern software environments are highly fragmented, spanning a diverse array of programming languages and frameworks. Each application relies on a complex web of proprietary code and open-source dependencies, creating an expansive attack surface. Furthermore, the integration of AI into the SDLC has accelerated release cycles while potentially increasing the volume of introduced vulnerabilities.
Traditional tools provide deep visibility into network telemetry, endpoint behavior, and cloud infrastructure, but they lack the granular insight required to monitor the application layer itself, which is the primary origin of exploits. This creates a dangerous blind spot where attackers can manipulate application logic and exfiltrate data undetected.
Securing the application lifecycle requires a unified approach that bridges the gap between pre-production and runtime. While shift-left strategies are essential for reducing technical debt, the ultimate challenge is defending active code against sophisticated threats in production environments. Effective AppSec must evolve beyond static analysis to provide continuous, real-time protection where the risk is greatest.
Why application security should be a top priority
28.3% of vulnerabilities being exploited within 1-day of their CVE disclosure1
For AppSec leaders, the persistent vulnerability of the application layer isn’t just a coding issue — it’s a telemetry issue. Despite heavy investment in hardening the environment, the internal logic of applications remains a significant blind spot in the modern security stack.
Most security strategies prioritize the “wrapper” around the application rather than the application itself. While infrastructure-focused tools are essential for modern defense, they are fundamentally limited when it comes to the software layer:
Waiting for a breach to manifest at the infrastructure level is a reactive strategy that carries catastrophic risk. To stay ahead of increasingly sophisticated adversaries, security teams require deep, application-level visibility.
True resilience requires the ability to monitor internal application behavior in real-time. By gaining visibility into the application’s inner workings, you can detect and neutralize attacks at the point of origin—blocking the exploit before it can pivot to critical data or result in a full-scale compromise.
Contrast Security operates on a different principle than traditional tools. Instead of scanning code from the “outside” or monitoring the network/server host, Contrast uses instrumentation to attach sensors to the application runtime.
This “inside-out” approach allows Contrast to observe the actual data flow and execution paths, enabling it to pinpoint the exact line of code where a vulnerability becomes exploitable, as summarized in the table below:
| Feature | Contrast Runtime | SAST (Static) | DAST (Dynamic) | EDR (Endpoint) | WAF (Firewall) |
| Visibility | Deep inside-out: Full code, library, and data flow context. | Code-only: Sees the “blueprint” but not the execution. | Black box: Sees only the external surface/inputs | Host/OS: Sees processes and files, not app logic. | Network: Sees HTTP traffic at the perimeter. |
| Accuracy | High: Only reports paths that are executed/reachable. | Low: High false positives (cannot tell if code is reachable). | Medium: Tests what it can find; misses unlinked pages. | High (for OS): But blind to application-layer logic. | No: Identifies the IP address and request payload |
| Pinpoint code | Yes: Identifies the exact file and line number in real-time | Yes: But often flags non-exploitable “dead” code | No: Only identifies the URL/ parameter being attacked. | No: Identifies the process or file, not the source line | No: Identifies the process or file, not the source line. |
| AI remediation | SmartFix (context-aware): Uses AI to write fixes based on live app behavior. | Basic: Often provides generic templates or “best practices.” | None: No access to the code to suggest a specific fix. | Automated response: Isolates hosts; doesn’t fix source code. | Virtual patching: Blocks the attack; doesn’t fix the code |
| Primary use case | Real-time vulnerability detection and self-protection. | Early development/coding phase (shift left). | Post-deployment/QA testing (outside-in). | Detecting malware or lateral movement on servers. | Filtering known “bad” web traffic at the edge |
Beyond the inherent limitations of traditional security tooling, modern enterprises frequently grapple with a scarcity of specialized talent and the persistent friction of siloed security and engineering departments. This organizational divide hampers effective communication, directly slowing the identification of and response to sophisticated application-layer exploits.
Furthermore, AppSec practitioners are consistently overwhelmed by a deluge of security signals that lack the necessary execution context to distinguish between background noise and high-priority risks. Because legacy Web Application Firewalls (WAFs) are fundamentally constrained by their reliance on perimeter network traffic, they remain blind to the internal logic of the application. This visibility gap generates a staggering volume of false positives, burying critical vulnerabilities under a mountain of low-value alerts.
With an estimated 26 billion monthly attacks targeting APIs and application logic,3 it’s critical to only provide security engineers with exploitable vulnerability notifications so that the risk of a missed breach or a delayed remediation is reduced.
Modern adversaries leverage evasive techniques to bypass signature-based defenses, leaving the enterprise exposed to zero-day exploits and logic-based attacks. Without runtime application security, it is impossible to stay ahead of an evolving threat landscape.
To effectively neutralize modern threats before they impact the business, AppSec teams must extend their defensive posture beyond the network edge and directly into the runtime environment. By embedding security within the application itself, you can eliminate structural blind spots and safeguard APIs through unparalleled execution visibility and precision. That’s where the Contrast runtime security platform comes into play.
With the Contrast runtime security platform, you can:
Industry: Financial services
Location: Amsterdam
Challenges: Securing customized SaaS at scale, legacy risk, zero-day exposure
Contrast solutions: Contrast Application Detection and Response (ADR)
Benefits: ~66% less CVE triage, real-time attack blocking, higher developer trust
Backbase, a modern banking platform, runs on top of customers’ aging core systems. Banks rely on Backbase to deliver digital banking experiences even when their legacy cores are hard to modernize or staff. That dependency raises the stakes in production, and prevention alone cannot protect live banking applications.
Backbase dropped an early SAST tool because the findings were so noisy that developers could not clear them, so the tool was adding security debt instead of reducing risk.
Even with a mature prevention program, AppSec teams still focus on prevention and vulnerability hunting before release. That work, while necessary, does not close the production risk to applications. Prevention tools and processes miss things. Vulnerabilities can slip past SAST, threat modeling and reviews.
With Contrast, Backbase gains production runtime control, leveraging Contrast agents attached to the software already running in production. That agent instruments what is going on inside the application. It can trace how client-supplied input flows through live execution to sensitive operations such as database calls.
Contrast shows which endpoints are really exposed and reached in production. Teams often rely on what developers think is deployed or what documentation claims is exposed. Production data can show a delta. Contrast replaces assumptions with runtime truth about the live attack surface.
Contrast gives two kinds of ground truth that SDLC tools cannot: what the live application is exposing, and which dependencies are executing in memory. That production data reshapes how AppSec teams scope risk and prioritize CVEs.
Contrast empowers your team with the observability and control they need to pinpoint exploitable lines of code, and detect and block threats that target custom applications and APIs.
And it lets you strengthen application security in a manner that’s tightly integrated with existing workflows.
Safeguard your applications throughout their entire life cycle with Contrast
1 2025 Q1 Trends in Vulnerability Exploitation
2 2025 Verizon Data Breach Investigations Report
3 Akamai API Security Report
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