Map the system
Connect supported source files, frameworks and dependencies so findings have context.
CODE SECURITY. ENGINEERING CLARITY.
Understand
the risk.
Ship the fix.
Your software is connected.
Your security review should be too.
SPECTRE brings code, dependencies and infrastructure into one review. Turn source-backed findings into a clear remediation plan and evidence your team can use.
For fintech, government and SaaS teams.
SPECTRE / REPOSITORY CONTEXTILLUSTRATIVE EXAMPLE
SOURCE + CONTEXTExample review
A finding your engineers
can act on.
Route→Policy→Service
Follow the relevant code path. Understand the impact. See what to change and how to check it.
01 Finding02 Fix path03 Evidence
REPEATABLE ANALYSIS+CONTEXTUAL REVIEW
ACROSS THE SOFTWARE YOU RUN
Java & .NET · TypeScript & Python · Go & Rust · Cloud & infrastructure
FROM DISCOVERY TO DELIVERY
Keep the evidence.
Know the next move.
Repeatable code analysis finds candidates. Contextual AI review helps assess them. A full audit brings the result back to an engineering decision.
Assess the finding
Review the cited code, rationale and confidence. Uncertainty stays visible for human review.
Plan the fix
Get a concrete remediation path, with a patch for suitable full-audit findings.
Check the outcome
Where executable verification is suitable, use before-and-after regression evidence to validate the change.
BUILT AROUND YOUR QUESTIONS
Different systems.
The same need for clarity.
From a payment workflow to a public service or a multi-tenant application, understand the code behind the boundary.
FINTECH / REVIEW SCENARIO
Follow the authorization boundary.
A sensitive operation needs the right account-level permission. Keep the handler, policy and downstream call in the same review.
Authorization · sensitive data · dependenciesTalk through your use casepayments/transfer.tsILLUSTRATIVE FIX
Payment API→ Permission check→ Account service
24const account = await accounts.get(accountId);
25authorize(actor, "transfer", account);
26return transfers.create(account, request);
Source context and a proposed next step, kept together.
A BROADER VIEW OF YOUR CODEBASE
Look across the boundaries.
The issue may sit in one file. Its context often spans the application, its libraries and the configuration around it.
Application security
Inspect supported authentication, injection and data-flow patterns with the relevant code attached.
Dependencies & supply chain
Understand software inventory and dependency vulnerabilities in the context of your codebase.
Infrastructure as code
Bring supported Terraform, cloud configuration and container definitions into the review.
AI & agentic systems
Review supported model, tool and agent patterns alongside the application that gives them access.
Cryptography & change
Inventory cryptographic use and dependencies to support informed migration planning.
Cross-layer consistency
Surface supported mismatches between APIs, frontend consumers, data models and implementation contracts.
Coverage depends on the language, framework, rule profile and agreed audit scope. We’ll confirm the fit for your stack before an engagement.
THE FULL AUDIT HANDOFF
Useful to engineering.
Readable by everyone else.
Give developers the source context and remediation guidance to act. Give security, assurance and procurement teams a portable record they can review.
↗Actionable findingsLocation, rationale and the relevant code path.
↗A route to remediationConcrete next steps, with patches where suitable.
↗Evidence of what was checkedSeparate detected, reviewed and tested states.
SPECTREAUDIT PACK
The record goes with you.
01Readable audit reportREPORT
02Structured findingsJSON
03Software inventorySBOM
04Cryptographic inventoryCBOM
05Crypto transition recordNIST IR 8547
Suitable findings can also include a patch and executable regression evidence. An audit pack supports assurance work; it is not a compliance certification.
BEFORE WE TALK
A few useful answers.
How does SPECTRE use AI?
Programmatic analysis generates candidate findings. A model then reviews the cited source and relevant context, with a recorded rationale and confidence. Candidates that need more review remain visible.
Can we use this alongside our existing security tools?
Yes. SPECTRE can add repository context and a remediation-focused audit handoff to your existing review process. We’ll agree how it fits with your scanners, engineering workflow and manual security reviews.
Will every finding come with a verified patch?
No. Suitable full-audit findings can include a patch and before-and-after regression evidence. The delivered evidence states distinguish what was detected, reviewed, reproduced and patched.
What about sensitive or restricted source code?
Start with a conversation about your repository and handling requirements. We’ll agree access, model use, data handling and delivery arrangements before you share source code.
Does an audit establish compliance or guarantee security?
No. It provides evidence to support engineering and assurance decisions within an agreed scope. Manual assessment remains important for business logic, operational conditions and requirements that code analysis cannot establish.
LET’S LOOK AT YOUR SOFTWARE
Bring a question.
Leave with a way forward.
Tell us about your stack, your priorities and the review you need.
We’ll work out the right scope together.