Agentic ASPM

AI agents that build and run
your Application Security.

Every scan, every pentest starts from zero. Remediating what they find is a never-ending, tedious grind. Glev flips the logic. It builds a living AppSec context for each application, and deploys AI agents that work within it. Running your Application Security at scale.

Gold medal, Cybernight 2025 · Innovative Solutions

Code got faster.

Attackers got faster.

Detection got easier.

Remediation didn’t.

It’s time AppSec teams
got faster too.

How Glev works

Context, AI agents, control: everything you need to scale your Application Security.

01 · The AppSec context

Everything Glev knows about each application.

Each application gets a target grade, set by what’s at stake: data sensitivity, business impact, regulatory requirements, operational constraints. Its current grade is measured against it, continuously.

Application
payments-api
Core businessPayment dataNIS2High availability
CurrentD
5 remediations to reach target
TargetB
Target set from exposure, data sensitivity, regulation and business criticality.
02 · The AI agents

AI agents that run your Application Security.

Every application needs its own AppSec context. Glev’s AI agents build it on day one, then keep it current as your code, your infrastructure and your team’s decisions evolve.

1Initialize the context.Agents read your repositories, pipelines and existing tools to map each application: target grade, architecture, threats and controls. Your teams review and validate.
3 repositories mappedTarget grade B
2Keep it in sync.Every merge and every deployment is analyzed. When the architecture or the exposure changes, the context follows.
New public endpointContext updated
3Learn from your teams.When your team validates a remediation or overrides a verdict, the agents learn it. Every decision makes the next one sharper.
Verdict overriddenRule learned
03 · The cockpit

Where each application stands, and the proof.

All your applications on one screen: current grade, target grade, and where every remediation stands.

Portfolio · 5 applications2 at target
ApplicationCurrentTargetPlan
payments-apiDB40%
customer-portalCB70%
mobile-backendEB15%
hr-intranetCC100%
reporting-toolBB100%

Without a target, you never know when you’re done.

Stop chasing alerts.
Start reaching targets.

Set your target grade
Use cases

Where do you want to start?

01Clear your security backlog.Thousands of accumulated findings become a remediation plan per application, carried through to its target grade.
02Audit any application, whoever built it.Vendor delivery, legacy, acquisition: see where the application stands against its target grade, and hand the remediation plan to whoever maintains it.
03Shift left, all the way to your coding agents.Glev runs your scanners in the CI and gives developers and their coding agents each application’s AppSec context, so new code is written at the right level before it ships.
04Act on your pentest reports.Every pentest finding becomes a ready-to-apply remediation, and Glev finds the same flaw wherever else it hides in your code.
05Stay ahead of new CVEs.Your SBOM is refreshed on your schedule, and only the CVEs exploitable in your context reach your developers.

Glev integrates seamlessly into your ecosystem.

Black Duck
Snyk
Checkmarx
SonarQube
Wiz
GitHub
GitLab
Azure DevOps
Jira
Black Duck
Snyk
Checkmarx
SonarQube
Wiz
GitHub
GitLab
Azure DevOps
Jira
Claude Code
Codex
GitHub Copilot
Mistral
Anthropic
Gemini
OpenAI
Claude Code
Codex
GitHub Copilot
Mistral
Anthropic
Gemini
OpenAI
Enterprise-ready

Built for enterprise security teams.

Your infrastructure, your AI provider, your rules. Glev adapts to how your company runs.

SaaS, hosted in France.

Nothing to install. Glev runs as a managed service, on infrastructure hosted in France.

Or inside your perimeter.

Deploy Glev in your own cloud account or on-premise, so it runs where your code already lives.

Your cloudOn-premise

AI provider agnostic.

Run Glev’s agents on the AI provider your company already trusts. Switch whenever you want, with no lock-in.

AnthropicOpenAIMistralGemini

Your code is never stored.

Analysis runs in ephemeral environments, destroyed once the job is done.

Used by security teams in
Automotive
Energy
Banking & insurance
Software publishers
Results

Measured in the field.

Our customers in banking, energy, automotive and software prefer to stay unnamed. Here is what Glev delivered for them.

60–90%of scanner findings discarded as false positives or irrelevant in context, each with its reasoning.
10 mininstead of 3 hours to remediate a flaw.
1 monthto bring an application to its target grade.
20×cheaper than a pentest, across all the code.
FAQ

Questions we hear.

No. Glev builds on your scanners and pentests, and brings its own open-source scanners where you have none.

How to start?

Test Glev on one application, with no commitment.

Book a demo