Application-Aware Cloud Threat Hunting

Hunt threats using real application execution - not just infrastructure signals

Book a demo

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

Book a demo

The Industrialization of Exploitation: When Exploits Became a Factory Line

Security

AI is turning exploit development into a repeatable assembly line. Learn how CVE-less attacks work and what security leaders must do differently at runtime.

Company News

Raven CEO Roi Abitboul explains why AI has broken traditional CVE-based security and why runtime visibility is the only defense model built for what comes next.

Mistral AI PyPI Package Compromised: A Supply Chain Attack Breakdown

Security

Attackers injected malicious code into Mistral AI PyPI v2.4.6 as part of the Mini Shai-Hulud campaign. No CVE caught it. Here is what runtime detection saw.