Application-Aware Cloud Threat Hunting

Hunt threats using real application execution - not just infrastructure signals
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SOCs hunt threats without application visibility

Infrastructure signals lack application context
Cloud logs, network telemetry, and CSP alerts show where something happened - not what code executed or why.
Alert fatigue without application relevance
SOCs are flooded with detections that can’t be tied to real application behavior, leading to false positives and slow investigations.
AppSec and SOC operate with different truths
AppSec sees vulnerabilities.SOC sees incidents.Neither can answer: Why did the code execute? Is it a feature or an actual attack?

Application-Aware Threat Signals

With Raven, SOC analysts gain deterministic context instead of probabilistic alerts.
Raven surfaces high-fidelity signals such as:
  • Which libraries were invoked
  • Which functions executed
  • Whether execution matched expected behavior
  • Whether execution was blocked or allowed

Faster, More Accurate Investigations

With Raven, Mean Time To Investigate (MTTI) drops dramatically.
During an investigation, Raven answers:
  • Did this alert involve real code execution?
  • Was the behavior legitimate or abused?
  • Was a vulnerable function actually invoked?

Bridge Between SOC and AppSec

With Raven, SOC and AppSec operate from a shared runtime truth.
Raven connects:
  • Runtime SCA (what is vulnerable)
  • ADR (what is malicious)
  • Execution context (what actually happened)

Amplify your SOC with application context

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SAST scans source code for vulnerabilities before deployment. Learn how it works, what it finds, and the blind spots it leaves open in production.
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SAST vs SCA: What Each Catches, What Each Misses, and When You Need Both
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SAST scans your code. SCA scans open source dependencies. Learn the differences, what each misses, and why runtime SCA adds the missing layer.
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What Is SCA? Software Composition Analysis and Why 99% of Alerts Do Not Matter
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SCA scans open source dependencies for known CVEs. Learn how it works, why it generates so much noise, and how runtime SCA shows what actually matters.
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