01
Working code can hide a vulnerability.
A feature may compile and behave as expected while leaving an unsafe query or a missing access check behind.
OWASP - 2025Build faster with fewer surprises.Catch security flaws and policy drift from the start.
AI-only scans can lose critical context between reviews. Built for web applications, Galen Policy retains a map of your code, permissions, and data access across sessions and coding assistants. It checks changes against approved security policies, catching vulnerabilities and policy drift with evidence showing what changed—and acts for you.
Find vulnerabilitiesPreserve approved rulesCheck as you build
BUILD WITH YOUR AI. CHECK WITH GALEN.
Claude CodeGitHub Copilot
OpenAI Codex
Cursor
Google Antigravity
Gemini Code AssistModel-independent analysis. Use the findings with your AI tool; run Galen Policy in a workflow with repository and terminal access.
A DIFFERENT PACE OF DEVELOPMENT
AI has rewritten
the pace of development.
An idea can become a feature in a conversation. Coding agents create, update, and refactor applications at a pace that changes how much code a team can ship.
70%
of developers say AI agents reduced time spent on specific development tasks.
Stack Overflow · 2025 · AI-agent usersTHE PRESSURE ON EVERY CHANGE
More code. More exposure.
Less room for mistakes.
As development accelerates, small errors can become production risks. The same AI capabilities that help you build also help attackers investigate and exploit weak software.
02
Your rules can drift with the code.
As agents add features or refactor, a change can introduce new permissions, widen data exposure, or remove a guard your application depends on.
Intentional rule changes need explicit review.03
Attackers have AI on their side, too.
Attackers already use AI to hunt for vulnerabilities and develop exploits. The tools that help you build faster also help them attack faster.
UK National Cyber Security Centre · 202589%
increase in observed attacks by AI-enabled adversaries from 2024 to 2025. AI keeps advancing. The threat won’t stand still.
CrowdStrike · 2026 Global Threat Report$6M
average cost per AI-enabled data breach—roughly $1 million more than the study’s overall breach average.
IBM / Ponemon Institute · 2026OUR PRODUCTS
One Galen engine.
Three ways to build trust.
The Galen engine analyzes connected code paths to find vulnerabilities, check policy drift, and provide inspectable evidence. Use Policy Beta as you build or let Telhawk manage a security audit today. Self-service Galen Security is coming soon.
Galen Policy
Check as you build
A command-line tool that checks code as you build. Find security flaws and policy drift against your approved access rules, with evidence you or your coding agent can use to make the fix.
Explore Galen Policy
Galen Security
Self-service · Coming soon
Planned self-service security audits for your team, with findings, remediation guidance, and validation. Telhawk-led managed audits are available now.
Preview Galen Security
Managed Galen Security Audit
Let us handle it
A Galen Security audit led by Telhawk experts. We scope and run the review, interpret the evidence, guide remediation, and validate corrections before delivering the final report.
Explore Managed AuditPowered by the Galen engineDeterministic analysisConnected code pathsInspectable evidence
THE COST OF ALMOST RIGHT
AI speeds up coding.
Mistakes slow you down.
A feature can look finished while hiding a vulnerability or dropping a critical guard. Finding those mistakes takes engineering time—and every round of rework adds cost.
Nearly right. Still a problem.
66% of developers report AI code solutions were almost right, but fell short.
Stack Overflow · 2025Working code can be vulnerable.
87% of organizations studied had at least one known exploitable vulnerability in deployed services.
Datadog · 2026Rework takes more time.
45% of developers report that debugging AI-generated code took up too much time.
Stack Overflow · 2025Stack Overflow’s figures describe reported developer experiences. Datadog’s finding describes known exploitable vulnerabilities in deployed services, regardless of how the code was written. These findings describe the need for verification; they do not measure Galen’s performance.
Catch the mistake while you build.
Give review and rework less to do.
Find the unsafe path.
Spot the rule a change breaks.
Give the agent evidence for the fix.
ONE ENGINE / TWO ESSENTIAL CHECKS
Catch the flaws.
Keep your rules intact.
Run Galen Policy in your repository as a standalone command-line tool. Start with a new application or an existing codebase, and check changes alongside your coding agent.
Find security flaws.
Trace code paths, data flows, and controls to uncover injection, broken access checks, and unsafe data exposure.
Catch policy drift.
Review and approve the access rules recovered from your code. Check later changes for new permissions, removed guards, and wider exposure.
Establish the baseline once. Correct unsafe assumptions, approve the intended rules, and keep that baseline with the project. Explicitly approve intentional rule changes.
Build
Your agent creates or changes a feature.
Check
You or your agent runs Policy on the updated code.
Correct
Give the agent the finding, affected path, and missing control.
Recheck
Review the fix and the new evidence before merging.
Deterministic findings. Inspectable evidence. Galen derives findings from code facts and verifies their derivation. Your agent runs the CLI when configured or instructed to do so.
Walk through an exampleFROM A FLAW TO A FIX
See what’s wrong.
Know where to fix it.
A dangerous query. A missing permission check. A private field in a public response. Galen connects the finding to the path, data, and control that explain it.
APPROVED POLICY
Customers may view and export only their own invoices.
routes/invoice-export.ts
12
export function handler(request) {13
const invoices = findInvoices(request.query.ids);14
return exportInvoices(invoices);15
} MISSING OWNERSHIP CHECK
A new export route omits the ownership check.
The existing invoice view checks ownership. This new route selects invoices by ID without that protection, departing from the approved policy and potentially exposing another customer’s invoices.
PATH
Signed-in customer → invoice lookup → export
EXPECTED CONTROLEvery exported invoice must belong to the signed-in customer
EXISTING PROTECTED PATHInvoice view → ownership check → customer’s own invoices
Code → Finding → EvidenceConceptual example, not a live scan or actual product output.
Context across the code
Follow how an input reaches an operation and which checks protect it, including relationships between handlers.
Evidence for the reviewer
Inspect the path, data flow, and guards behind a finding. See where evidence is complete and where gaps remain.
A focused task for the agent
Pass the relevant evidence back to your coding agent so it can address the cause of the mistake.
DEEPER SECURITY REVIEW
The same Galen engine.
Security review on your terms.
Telhawk-led Managed Galen Security Audits are available now, with findings, remediation guidance, and validation within an agreed scope. Self-service Galen Security is coming soon.
Explore Galen SecurityA FEW PRACTICAL QUESTIONS
Before your
first check.
GALEN POLICY · FREE BETABuild with AI.
Build with AI.
Check with Galen.
Catch security flaws and policy drift while you build.
Get the free beta and setup guidance from Telhawk.
Standalone CLI · For workflows with repository and terminal access