The platform layer that gives humans and AI agents shared context, intelligent workflows, and autonomous remediation. Protect, detect, validate and remediate at AI scale.
> 90%
< 3.5 min
> 6 years
> 50%
*In reference organizations of ~200 developers.
Autonomous FFmpeg zero-days with reproducible PoCs.
Four NGINX memory corruption bugs confirmed.
Reinforcement-trained agents for vulnerability discovery.
Dependency Firewall blocks malicious packages. Security Reviewer validates every human and AI-generated code change before vulnerabilities, sensitive data, or malware enter your codebase.
Find real vulnerabilities by tracing business logic, data flows, and cross-service interactions across your codebase.
Detect malicious behavior before it spreads through your environment.
Confirm which vulnerabilities are exploitable by testing your running application with real attack paths.
Detect and validate credentials across your codebase, CI/CD pipelines, and runtime environments.
Trace risk through your full dependency tree and surface only the vulnerabilities with a real execution path to them.
From customers
depthfirst felt like adding an autonomous senior product-security engineer. It quickly surfaced our top issues and got smarter over time by tracking context across scans, and it’s cut our security-engineering load by roughly 70%.
Set policy once. Every scan, fix, and agent action inherits it automatically.
Every finding, decision, and fix lives in one place: searchable, exportable, audit-ready.
See who did what, when, and why. Every human and agent action is logged, immutable, and traceable.
Give teams exactly the access they need. No more, no less. Scoped by repo, environment, or org.
Independently audited. Your data handled the way your security team demands.
Bring your own key. Your data stays encrypted under your control, not ours.
