Code got faster.
Attackers got faster.
Detection got easier.
Remediation didn’t.
It’s time AppSec teams
got faster too.
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.
Glev maps every code file of the application: whether it is deployed, how exposed it is, and how critical it is to the business. Every finding is weighed where it actually lives.
Glev maps every repository of the application, how they interact with each other, and how they connect to the outside world: public entry points, third-party services, sensitive data stores.
Glev holds the full list of CWEs that apply to each application, and for each one, how to control it: proposed by Glev, or defined by your own security standards.
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.
For your existing backlog and for every new finding in the CI, Glev’s AI agents take each application to its target grade, guided by its AppSec context.
New CVEs land every day, far more than any team can review. Glev’s AI agents weigh each one against the application’s target grade and AppSec context, so only the ones that matter reach your teams.
No pull requests to review that your developers didn’t write. Glev hands remediation instructions to the coding agents they already use, so remediation scales without a new review bottleneck, and every new line of code is written within the AppSec context.
All your applications on one screen: current grade, target grade, and where every remediation stands.
Every scan, prioritization, verdict and remediation is recorded with its justification. Nothing is decided in a black box.
Prove where each application stands in one report, for your auditor, your leadership or your customers.
Without a target, you never know when you’re done.
Your infrastructure, your AI provider, your rules. Glev adapts to how your company runs.
Nothing to install. Glev runs as a managed service, on infrastructure hosted in France.
Deploy Glev in your own cloud account or on-premise, so it runs where your code already lives.
Run Glev’s agents on the AI provider your company already trusts. Switch whenever you want, with no lock-in.
Analysis runs in ephemeral environments, destroyed once the job is done.
Our customers in banking, energy, automotive and software prefer to stay unnamed. Here is what Glev delivered for them.
No. Glev builds on your scanners and pentests, and brings its own open-source scanners where you have none.
Your coding agent starts from zero every time, grades its own work, spends tokens on every scan and leaves no proof. Glev gives it the context, the priorities and the audit trail, and Glev’s own scans use no AI credits.
Yes. Glev embeds and orchestrates open-source scanners for both your code and your dependencies. Nothing else to install.
Keep them for your most critical applications. Glev covers all the code of every application, continuously, and gets your pentest findings remediated.
SaaS hosted in France, in your own cloud, or on-premises.
The one you choose: European, open-weight or internal. Your code never trains any model.
Never. Analysis runs in ephemeral environments, destroyed once the job is done.
Your team. Every agent step is visible and justified, any decision can be challenged, and no code change ships without human approval.
No. Remediations reach their tickets and their coding agents.
Glev is priced per AI credit, used only for analysis and remediation. Scans never consume credits. Book a demo for a quote tailored to your portfolio.