Startup profile · funding coverage
depthfirst funding, valuation and investors
Applied AI lab building security-specific models and autonomous remediation (General Security Intelligence).
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series B
$80M · March 2026
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$120M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
series b · San Francisco, CA
Overview
depthfirst is a San Francisco applied AI lab developing an AI-native security platform that reasons over code, infrastructure, and business logic to find vulnerabilities and ship merge-ready fixes. The company emerged from stealth in January 2026 with a $40M Series A, then raised $80M Series B in March 2026 led by Meritech Capital with Forerunner Ventures participating — $120M total in under 90 days. It introduced dfs-mini1, a smart-contract security model, alongside its General Security Intelligence platform.
Why depthfirst is interesting
depthfirst ships security-specific models post-trained for real workflows — not another copilot wrapper — and raised $120M in three months off that thesis.
Product & use cases
General Security Intelligence platform: dependency firewall, security reviewer for AI/human code, continuous signals from design to production with autonomous remediation.
- Blocking malicious packages before they enter codebases
- Reviewing AI-generated code changes pre-merge
- Smart contract vulnerability detection via dfs-mini1
Key facts
- Series A (Jan 2026): $40M from stealth
- Series B (Mar 2026): $80M led by Meritech; $120M total
- Launched dfs-mini1 smart contract security model
- Forerunner participant on Series B
Funding history (newest first)
Series B
2026-03 $80M- Meritech Capital (lead)
- Forerunner Ventures (participant)
- Box Group (participant)
Source: Read source · depthfirst.com
Series A
2026-01 $40M- Accel (participant)
- Box Group (participant)
Source: Read source · techcrunch.com
Investors in our directory
Funds linked from depthfirst's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: In-house security models (dfs-mini1) plus applied lab talent from DeepMind, Databricks, and Faire per SecurityWeek.
AI offensive tools force defensive automation — depthfirst bets specialized post-trained models beat generic LLMs in security workflows. Execution risk is enterprise trust and false-positive rates at scale.
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Snyk direct
Developer security scanning incumbent expanding AI features.
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Wiz adjacent
Cloud security posture; less code-native remediation focus.
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GitHub Advanced Security incumbent
Bundled scanning in GitHub ecosystem.
Notable stories
- depthfirst raised Series B less than 90 days after leaving stealth — unusually fast cadence even for 2026 AI security hype.
- CEO Qasim Mithani argued winning security requires domain-specific models, not generic LLM wrappers (SecurityWeek).
Industries
Market / IPO context
Editorial / static context — not a live quote.
Related funding articles
Venture Capital Tracker pieces that cover depthfirst's financing or category context.
FAQs about depthfirst
Practical answers founders, operators, and investors typically search for.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.