CYBERMINDR USE CASE
An Attack Path Discovery platform helps
developers identify and fix code, infrastructure,
and configuration vulnerabilities.
Code-Level Insights
Detects coding flaws such as
insecure APIs, hardcoded
credentials, or improper data
validation that could create
exploitable attack paths.
Configuartion Errors
Highlights insecure default
configurations in development
environments and cloud platforms.
Dependency Risks
Scans libraries and dependencies
to identify vulnerabilitiesin third-
party code.
Clear Context
Maps how a vulnerability could be
exploited by attackers to move
laterally or excalate privileges
within a system.
Developer Responsibility
Shows developers exactly how their
mistakes contribute to broader
organizational risks, making it
easier to prioritize fixes.
Real-Time Detection
Provide immediate feedback
when vulnerabilities are
introduced.
Automated Remediation Guidance
Offers clear, actionable
recommendations to fix issues, such
as code snippets, configuration
changes, or patch updates.
Proactive Security
Encourages developers to identify
and remediate vulnerabilities early
in the software development
stages in pre productions, reducing
the cost and complexity of fixes.
Empowered Ownership
Makes security a shared
responsibility by equipping
developers with the tools and
knowledge to address isssues
without waiting for security teams.
Mistake Patterns
Highlights recurring mistakes or
bad practices, enabling developers
to learn from their errors and adopt
secure coding habits.
Custom Training Opportunities
Through the identification of
recurring vulnerabilities, developers
can be trained by viewing the
remediation as a video proof of
concept, which serves as a singular
source for resolving multiple issues
simultaneously.
Shared Understanding
provide a common platform
where developers and security
teams can collaborate, reducing
friction and finger-pointing.
Prioritized Threats
Helps developers focus on fixing the
most critical issues first, as
determined by their impact on the
attack path.
For instance, a developer in an insurance company might
Write a Web Application
The platform might flag an
unvalidated user input that
could lead to SQL injection,
showing how this could expose
sensitive customer data.
Deploy in Cloud
The tool could identify a
misconfigured AWS S3 bucket with
public access enabled, illustrating
how attackers could use it to
exfiltrate data.
Leverage Open-Source
It could uncover a
vulnerability in a third-party
library the application
depends on and suggest an
updated, secure version.
Use CyberMindr to protect your
environment and lessen potential
risks to see how attack path
discovery and protection will be in
the future, get a demo today.