UNIFIED CODE-TO-PRODUCTION SECURITY

Securing the World's Software

depthfirst pairs deep context on your applications and systems with autonomous agents that continuously discover, fix, and prevent security risks. Always-on defense, from code to production.

depthfirst home dashboard with unassigned criticals, risk exposure trend, open issues by severity, and top code issues.

Trusted by security teams at the frontier

Siloed tools leave teams reconnecting the dots. depthfirst is a new approach to secure software. Every depthfirst product builds on the same context, from code to production.

  1. Coverage

    Security from code to production

    A connected security platform across every step of the software lifecycle to detect, validate and remediate security issues, and prevent new risks.

  2. Context

    Intelligent Context

    Tie your code to your runtime and infrastructure, to accurately pinpoint real risk and track it through resolution.

  3. AI research

    Frontier AI built for cybersecurity

    Our in-house lab turns research into better ways to find and fix vulnerabilities.

Continuous protection across the software lifecycle.

  1. depthfirst builds a deep understanding of your infrastructure, code, and business logic and creates a threat model, which informs security analysis and decisions across the platform.

  2. depthfirst blocks malicious packages before they’re installed and reviews every pull request before it’s merged, helping prevent vulnerabilities and other security risks from entering your systems.

  3. depthfirst identifies vulnerabilities in your codebase, assesses your exposure to vulnerabilities in third-party dependencies, and discovers vulnerabilities in running applications through penetration testing.

  4. depthfirst validates code findings against running applications to identify exploitable vulnerabilities. It also generates ready-to-merge fixes and creates pull requests for the engineers responsible for the code.

  5. depthfirst replays the original attack to verify that the vulnerability has been resolved after a fix is merged.

Prevent new risks and reach zero criticals faster.

Intelligent context

depthfirst maps how your code, dependencies, infrastructure, and secrets connect in production, understands your organizational context, design docs and threat model so every product judges each finding against how your system actually runs.

depthfirst threat model tracing untrusted input across a trust boundary to a vulnerable dependency, with the rationale and code
  1. Code

    Replace traditional SAST

    Find real vulnerabilities by tracing business logic, data flows, and cross-service interactions across your codebase.

    Replace traditional SAST

    depthfirst reasons about business logic and cross-service data flows the way a security engineer does, so the only findings you see are the ones that are genuinely exploitable.

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  2. Agentic Pentesting

    Replace manual pentesting, traditional DAST

    Confirm which vulnerabilities are exploitable by testing your running application with real attack paths.

    Replace manual pentesting, traditional DAST

    depthfirst attacks your running applications continuously, proving at runtime which vulnerabilities are actually exploitable and re-testing every fix after merge.

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  3. Dependency Firewall

    Detect malicious behavior before it spreads through your environment.

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  4. Supply Chain

    Replace traditional static SCA

    Trace risk through your full dependency tree and surface only the vulnerabilities with a real execution path to them.

    Replace traditional static SCA

    depthfirst traces every dependency to the code that actually calls it, so you fix the handful of vulnerabilities with a real path into your application instead of the whole SBOM.

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  5. Secrets & Sensitive Data

    Detect and validate credentials across your codebase, CI/CD pipelines, and runtime environments.

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Our customers choose depthfirst to scale software security with AI.

Advancing AI security research. We benchmark models on cybersecurity tasks and train specialized, state-of-the-art models.

How dfbench works

dfbench: detection

Recall

20% 30% 40% 50% 60% 70% $0.30 $1 $3 $10 $30 $100 dfs-large1 GPT 5.6 Sol GPT 5.6 Luna Opus 5 Opus 5.5 Grok 4.5 Grok 4.7 Kimi K3 Qwen 3.8 GLM 5.2 DeepSeek v4 Flash Gemini 3.6 Flash Mythos 5 Gemini 3.8 Flash Muse Spark 1.3 DeepSeek v4.1 Flash GPT 6 Luna GPT 6 Sol MiMo-v2.6 Flash MiMo-v2.6 Pro

Cost per task

Figure 1: Vulnerability recall across a security scope, against cost per task. The ideal agent sits in the top left corner. Unless otherwise specified, all models are run on our internal harness.
Every dfbench datapoint, by model and thinking level
Detection results
Thinking
dfs-large1 — $6.77 62.2%
GPT 5.6 Sol xhigh $43.37 65.7%
GPT 5.6 Sol high $26.47 59.6%
GPT 5.6 Sol med $9.51 48.9%
GPT 5.6 Luna xhigh $2.53 52.4%
GPT 5.6 Luna high $1.57 39.6%
GPT 5.6 Luna med $0.69 28%
Opus 5 high $22.66 45.4%
Opus 5 med $21.89 47.8%
Opus 5.5 high $8.42 54.9%
Opus 5.5 med $7.66 48.1%
Grok 4.5 high $7.70 57.2%
Grok 4.7 xhigh $19.94 59.0%
Grok 4.7 high $16.02 56.6%
Kimi K3 max $9.10 48%
Kimi K3 high $6.22 46.7%
Qwen 3.8 max $7.91 40.8%
GLM 5.2 xhigh $9.72 40.7%
GLM 5.2 high $4.09 38.2%
DeepSeek v4 Flash max $1.23 31.8%
DeepSeek v4 Flash high $1.03 30.1%
Gemini 3.6 Flash high $7.44 20.9%
Mythos 5* — $99.19 69%
Gemini 3.8 Flash high $8.03 44.2%
Muse Spark 1.3 xhigh $10.24 47.4%
DeepSeek v4.1 Flash high $1.69 57.3%
GPT 6 Luna xhigh $0.43 45.7%
GPT 6 Luna high $0.28 38.1%
GPT 6 Luna med $0.15 37.3%
GPT 6 Sol xhigh $13.30 59.3%
GPT 6 Sol high $6.45 57.7%
GPT 6 Sol med $3.43 49.6%
MiMo-v2.6 Flash — $0.86 53.5%
MiMo-v2.6 Pro — $1.38 55%

These results will be updated as new models and harnesses are released.

* Run with Claude Security.

depthfirst platform discovered, validated, and remediated hundreds of CVEs from open source projects.

200+
CVEs detected, discovered, validated and remediated using the depthfirst platform
72
Popular open source projects are scanned and analyzed by depthfirst platform