Organizations take an average of 194 days to identify breaches that start in applications where traditional security tools lack visibility. Runtime application security embeds sensors directly into code execution, detecting attacks immediately as they happen. SOC teams gain instant visibility into dozens of attacks each month that bypass EDR and WAF, transforming reactive investigation into proactive defense.
Your SOC monitors every endpoint and analyzes network traffic around the clock. Yet according to IBM's Cost of a Data Breach Report, organizations take an average of 194 days to identify a breach. This visibility gap is a leading cause of modern application security breaches, as traditional security architectures cannot see inside application runtime.
Modern attacks manipulate application logic and hide within legitimate code execution. Runtime application security changes this dynamic by providing direct visibility into application behavior, detecting breaches at the moment of exploitation rather than months after damage occurs.
Applications have become the primary breach vector for three critical reasons: they store the data attackers want, contain exploitable business logic and operate where traditional security tools cannot see.
According to Contrast Security's Software Under Siege 2025 report, applications face an average of 14,250 hostile events per month, with an average of 81 real attacks per app successfully reaching vulnerable code.
This shift reflects the evolution of enterprise architecture. Applications now handle everything from customer transactions to internal workflows, making them treasure troves of sensitive data.
Path traversal attacks, for instance, allow attackers to navigate outside intended directories to access configuration files or customer databases, completely bypassing perimeter defenses that only monitor network traffic patterns.
The expanding attack surface compounds this challenge. With up to 30% of code now AI-generated according to Microsoft, development velocity has accelerated beyond traditional security's ability to keep pace.
Common application attack patterns:
Understanding how these attacks succeed requires examining why traditional tools miss them.
Traditional security tools excel in their designed domains but share a fundamental design limitation: they operate outside application runtime. This creates blind spots where attacks execute undetected.
|
Security tool |
What it sees |
What it misses |
|---|---|---|
|
EDR |
System calls, process behavior |
Application logic, data flows |
|
WAF |
HTTP/HTTPS traffic patterns |
Actual code execution |
|
NDR |
Network communications |
In-memory attacks |
|
SIEM |
Correlated alerts |
Application context |
EDR's blind spot
EDR monitors the operating system layer, detecting malware and suspicious processes. However, when a deserialization attack manipulates objects within application memory, EDR sees nothing unusual because no malicious files or processes are created.
WAF's limited perspective
WAFs attempt to filter malicious traffic at the perimeter, but their external perspective limits effectiveness. According to Contrast Security's research, WAFs generate thousands of alerts with less than 0.25% correlation to real exploits.
For every thousand suspicious events flagged, approximately 2-3 are actual attacks that reach vulnerable code. They see the traffic but cannot determine whether an attack actually reaches vulnerable code or gets properly sanitized by the application.
NDR's network-only view
Network detection and response excels at identifying lateral movement and data exfiltration patterns. However, NDR cannot distinguish between legitimate application behavior and attacks that manipulate business logic. When an attacker exploits an OGNL injection vulnerability to execute commands within the application, the network traffic appears identical to normal API calls. The attack occurs entirely within application memory and is invisible to network monitoring.
SIEM's context challenge
SIEM platforms correlate signals from multiple security tools, but they can only work with the data they receive. When EDR, WAF and NDR all miss application-layer attacks, the SIEM has no relevant data to correlate. It's the classic "garbage in, garbage out" problem. Without runtime application intelligence feeding into the SIEM, even the most sophisticated correlation rules cannot detect attacks happening inside application code.
This collective blindness creates a compound problem: alert fatigue. SOC teams investigate thousands of ambiguous signals from tools that cannot see the actual attacks. Real threats hide in the noise while analysts chase false positives. According to industry surveys, security teams spend up to 25% of their time investigating alerts that proper application context would immediately dismiss.
The solution lies not in more external monitoring but in visibility where attacks actually execute.
Runtime application security takes a fundamentally different approach by embedding sensors directly into applications. These lightweight sensors observe code execution, data flows and application behavior from within, providing visibility that external tools cannot achieve.
Think of it like the difference between watching a building from the street versus having cameras in every room. External observation might catch someone entering, but only internal visibility shows what they actually do inside.
Runtime sensors monitor applications at critical execution points:
The power of runtime security becomes clear through real attack scenarios. Consider two common attack types that traditional tools routinely miss:
Authentication bypass attack: When attackers attempt to circumvent login mechanisms, runtime security detects that the actual authentication logic is being manipulated. It detects not just the attempt but the specific code paths being exploited, providing SOC teams with precise forensic data about which users were targeted and what data was at risk.
Cross-Site Scripting (XSS) attack: When malicious scripts attempt to steal session cookies, traditional tools might log suspicious JavaScript as one alert among thousands. Runtime security detects the actual execution of malicious scripts, identifies affected users, and can automatically block the attack before data exfiltration occurs.
The Contrast Graph aggregates this runtime intelligence into a comprehensive security model, mapping vulnerabilities, assets, and active attacks in real time. This continuously updated intelligence enables immediate response rather than retrospective investigation.
The speed difference between traditional and runtime detection fundamentally changes security outcomes. While organizations average 194 days to identify breaches according to IBM, runtime security operates at execution speed.
Traditional approach:
Runtime detection:
The financial impact is substantial. With breaches costing organizations millions in recovery costs, regulatory fines and reputational damage, reducing detection time from months to minutes fundamentally changes the economics of security.
SOC teams can implement runtime breach detection without disrupting existing workflows. The technology integrates with current security infrastructure, enriching rather than replacing existing investments.
Runtime security integrates with existing SIEM platforms via standard APIs, adding application context to the security data lake. Instead of replacing your Splunk, QRadar or Sentinel deployment, runtime detection enriches these platforms with precise application intelligence.
Most organizations complete deployment within 30 days with:
Training focuses on understanding application-layer attacks rather than learning new tools. SOC analysts use familiar interfaces but gain visibility into previously hidden attack vectors.
Command injection attempts, for instance, become visible not as ambiguous system anomalies but as specific attacks against identified vulnerable code.
The learning curve focuses on pattern recognition rather than tool operation. Teams learn to identify attack patterns such as unsafe deserialization attempts that appear as serialization errors, or OGNL injection attacks that masquerade as expression evaluation failures.
Within the first week, most analysts can distinguish between:
This expertise transforms how teams prioritize their response efforts, focusing on confirmed attacks rather than suspicious possibilities.
How many application attacks do traditional tools miss?
According to Contrast Security's 2025 research, applications face an average of 81 real attacks per app per month that reach vulnerable code. Traditional security tools operating outside the application cannot see these code-level attacks, leaving organizations blind to threats executing within their applications.
How does runtime detection complement EDR?
EDR monitors endpoint behavior at the operating system level but cannot see inside application logic. Runtime security operates within the application itself, observing code execution and data flows. EDR watches the building while runtime security monitors what happens inside each room.
Does runtime security require code changes?
No code modifications are required. Runtime sensors deploy through existing CI/CD pipelines using language-specific agents that observe application behavior without altering source code or affecting performance.
What's the ROI of runtime breach detection?
Organizations typically see ROI within 6 months through reduced breach costs and faster incident response. With breach identification averaging 194 days according to IBM, runtime security's immediate detection dramatically reduces both financial and operational impact.
Can runtime security integrate with our existing SOC tools?
Yes, runtime security integrates with major SIEM platforms, including Splunk, QRadar and Sentinel, through standard APIs. This enriches your existing security data with application context rather than requiring new tools.
Runtime visibility transforms how SOC teams detect and respond to application breaches. The attacks that were once hidden for months become immediately visible and actionable. Your existing security investments gain the application context they've always lacked.
Ready to see application attacks immediately? Schedule a demo to discover how runtime security detects the breaches your current tools miss. Our security architects will show exactly where runtime visibility closes critical gaps in your environment.