Find security risks.
Know what to fix.

Check your project for vulnerable dependencies, exposed secrets and risky code.
Get an AI-assisted action plan your team can review.

Request a demo

A guided walkthrough. Access by invitation.

CyberSafeAI workspaceSample data

CyberSafeAI

AI analysis Findings Project Action plan

Sample projectIllustrative results

Findings and next stepsInteractive preview

YouWhat should we fix first?

CyberSafeAI

The scan found a dependency with a known vulnerability. Check whether the affected feature is used, review the fixed version and test the update before release.

Needs reviewA dependency needs a security update

Check exposureReview the fixTest the update

BUILT FOR TEAMS
THAT SHIP SOFTWARE

SaaS teams

AI applications

Product engineers

Security teams

One project. Several layers of checks.

Dependencies, secrets, code and configuration.
A clearer starting point for your security review.

Dependency checks

Find known vulnerabilities in supported project dependencies and identify versions to review.

Secret detection

Look for possible credentials in project files and get guidance on investigating exposure.

AI-assisted triage

Understand scanner findings, review priorities and turn evidence into tasks for your team.

Code checks

Spot selected unsafe code patterns with Opengrep and CyberSafeAI rules.

Configuration review

Review supported configuration files for security-relevant settings and misconfigurations.

Actionable reports

Bring findings, evidence and suggested remediation together for an engineering review.

A finding is the start.
Understanding it comes next.

YouWhat should we fix first?

CyberSafeAI Example

The scan found a dependency with a known vulnerability. Check whether the affected feature is used, review the fixed version and test the update before release.

Check exposureReview the fixTest the update

Review the affected dependencyReady for your team to review

Less time deciphering alerts.
More context for the next decision.

The AI layer works from scanner findings to explain what was detected, why it may matter and what your engineer should check next. Your team keeps the evidence and makes the final decision.

Explanations help with triage. They are not proof of exploitability or a guarantee that a fix is safe. Review recommendations against your application and test changes before deployment.

TrivyDependencies & configuration

Gitleaks · OpengrepSecrets & code patterns

AI explanation layerContext & next steps

Illustrative interface and sample findings. The current workflow analyses project files; cloud monitoring and active security testing are separate future capabilities.

A report your team
can work with.

See what was detected, where it was found and what to investigate next. Keep the findings tied to evidence rather than a score alone.

Scope, scanner coverage and limitations
Findings with evidence and severity
Suggested remediation for your team

Read the example report

Illustrative example · no customer data

CYBERSAFEAIProject security review01 / 04

Risk overview

Illustrative report

Priority	Finding	Next step
High	Secrets	Review and rotate the key
Medium	Dependency findings	Review the fixed version
Low	Code	Validate input handling

SecretsHigh
Next stepReview and rotate the key
Dependency findingsMedium
Next stepReview the fixed version
CodeLow
Next stepValidate input handling

From evidence to a reviewable taskCyberSafeAI

Next steps for your team

From scan to next steps.

Start with a sample project.
Keep production credentials out of the demo.

Choose the scope

We agree on a sample project and what the scan should cover. No production access is needed for a demo.

Run the checks

Scan a project archive for dependency issues, exposed secrets, risky code and configuration.

Review the findings

See severity, affected files and supporting evidence. AI helps explain the results and suggest next steps.

Fix and check again

Make changes in your normal workflow, then rescan to check which findings remain.

Start with a project. See the evidence.

The first session covers your use case, a sample scan and how to read the findings. We agree on scope and pricing before any paid work.

Invitation-based pilot

Before you
get started.

Scope, access and what to expect.

What can I scan today?

The current workflow checks project archives for known vulnerable dependencies, exposed secrets, selected code patterns and configuration issues. Coverage depends on the file formats, languages and rules supported by the underlying scanners.

Do I need to install an agent on my production server?

No. The initial walkthrough uses a sample project. You do not need to provide production credentials or install software on your servers to request a demo.

Does the AI find every vulnerability?

No tool can guarantee that. Scanners produce findings; AI helps explain and prioritise them. Results can include false positives and miss issues, particularly runtime and business-logic vulnerabilities. Review the evidence before making changes.

Which tools do you use?

The current analysis pipeline combines Trivy, Gitleaks and Opengrep with CyberSafeAI rules and an AI explanation layer. Each tool has a different scope. A failed or incomplete check must not be treated as a clean result.

Will the platform change my code or infrastructure?

The scan workflow is for analysis and reporting. It does not deploy fixes or run active exploitation against your infrastructure. Your team reviews and applies changes in its own workflow.

Can we start with a public repository?

Yes. A public open-source project or a dedicated sample is a practical starting point. Avoid uploading real secrets or personal data. Any use of private customer projects needs an agreed scope and access arrangements.

What happens after I request a demo?

We review your request, contact you by email and arrange a walkthrough. Application access is provided separately by invitation. Submitting the form does not create an account or start a paid subscription.

How much does it cost?

We discuss scope and pricing before paid work starts. There is no automatic charge or subscription when you request a demo.

Is this a replacement for a penetration test?

No. Project scanning helps identify particular classes of issues. A penetration test, runtime review or specialist assessment may still be needed for your application and threat model.

See what your next
security review could look like.

Leave your email. We will arrange a walkthrough and discuss access.