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

Code hierarchy showing native libc6, OSS V8 Internal, a violating library next 16.0.6, and native node 20.

UI panel labeled Priority showing Behavior Analysis with Anomaly detected and Function Executed as Yes.

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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Container Runtime Security: How It Works, Why It Matters, and What to Look For

Fundamentals

Container runtime security protects running containers from exploits, escapes, and malicious code. How it works, why it matters, and what to look for.

Kubernetes Runtime Security: Threats and Defenses

Fundamentals

Kubernetes runtime security detects and blocks attacks inside running clusters, from container escapes to race conditions in concurrent workloads.

AI Runtime Security: Protecting AI Workloads

Fundamentals

AI runtime security monitors and protects AI applications and agents during execution, catching prompt injection, rogue agents, and runtime exploits.

Application-Aware Cloud Threat Hunting

SOCs hunt threats without application visibility

Application-Aware Threat Signals

Faster, More Accurate Investigations

Bridge Between SOC and AppSec

Amplify your SOC with application context

Every Runtime needs Raven