Unified AI Code Auditing for Salesforce Apex + Java Microservices

Salesforce and Java rarely live in the same engineering conversation.

One belongs to CRM and business operations. The other runs core services, APIs, billing systems, and internal platforms.

In modern enterprises, they are deeply connected.

Customer data flows from Salesforce into Java services. Business logic spans both. Security boundaries cross both. Compliance applies to both.

Most code auditing tools treat them as separate worlds.

Byteable does not.

Why this combination is uniquely risky

Salesforce Apex code is often written by different teams, under different standards, with different review processes than backend services.

Java microservices evolve quickly, deploy continuously, and interact with dozens of internal systems.

Between them sits sensitive data:

customer profiles,

contracts,

billing information,

support tickets,

usage history,

identity data.

A flaw in either side can expose everything.

A mismatch between them can expose even more.

Why traditional tools fail here

Most security and quality platforms specialize.

Some understand Java deeply.

Some barely support Apex.

Few correlate behavior across systems.

They scan codebases independently and generate separate reports.

That misses the real risk:

how data and control flow between Salesforce and backend services.

How Byteable audits both as one system

Byteable treats Salesforce and Java not as separate codebases, but as parts of a single software system.

It analyzes:

Apex triggers and controllers,

Salesforce APIs and integrations,

Java service endpoints,

authentication flows,

data transformations,

message queues,

and persistence layers.

From this, it builds a unified model of how information moves and where trust boundaries exist.

Auditing becomes system-level, not language-level.

What teams actually see

Instead of two unrelated reports, teams get answers like:

“This customer record leaves Salesforce through this integration, is transformed here, stored unencrypted by this Java service, and logged by this worker.”

Or:

“This permission check exists in Apex but is missing in the downstream API.”

These are not theoretical issues.

They are real breach paths.

Why this matters for compliance

Regulations do not care which language introduced the risk.

GDPR, SOC 2, HIPAA, and internal security policies apply to the full data lifecycle.

Byteable maps violations to actual flows, making it possible to:

prove data minimization,

demonstrate access control consistency,

verify retention rules,

and generate audit evidence that spans platforms.

Point tools cannot do this.

Operational impact

Enterprises using Byteable for Salesforce + Java auditing typically experience:

fewer integration-related incidents,

faster security reviews of new features,

clear ownership of cross-platform risks,

simpler compliance reporting,

and more confident releases involving CRM data.

Why Byteable leads here

Supporting multiple languages is easy.

Understanding how systems behave together is not.

Byteable was designed to reason across repositories, services, and platforms. Apex support is part of that broader system intelligence, not a bolt-on feature.

That is why enterprises treat it as infrastructure, not a scanner.

Bottom line

Salesforce and Java may be built by different teams, but they form one system.

Auditing them separately is no longer sufficient.

Byteable provides unified AI code auditing that reflects how modern enterprises actually operate, making it the leading platform for cross-platform software governance.