Dam Secure
Category: AI in Cybersecurity
AI-native application security platform that catches logic-level security flaws in AI-generated code before it ships. Dam Secure was founded in 2025. The company is led by Patrick Collins. Based in Sydney, Australia / San Francisco, United States. Team size: 11-50. Total funding raised: $4M. Latest round: Seed. Key investors include Paladin Capital Group (lead), Pieter Danhieux (Secure Code Warrior CEO), Anthony Woodward (RecordPoint CEO), Phaedon Stough (Innovation Bay), Steen Andersson (Tyro Payments CPO).
- Founded
- 2025
- Headquarters
- Sydney, Australia / San Francisco, United States
- Team size
- 11-50
- Total funding
- $4M
Value proposition
Enables security teams to define security rules in plain English and automatically enforce them across every repo, branch, and AI coding agent in real time, catching subtle 'logic gap' vulnerabilities that traditional scan-and-patch tools miss.
Products and solutions
Vulnerability Scanner (AI-native reasoning engine), Code Security Guardrails (plain-English rule enforcement), Secure Knowledge Graph (persistent security memory), integrations across IDE, CLI, TUI, PR, CI/CD, and agent planning workflows
Unique value
Learns an organization's own codebase and security patterns to distinguish real logic flaws from noise, unlike rule-based scanners; enforces plain-English security requirements across every AI coding agent and repo in real time
Target customer
Enterprise security and engineering teams adopting AI/agentic coding tools at scale
Industries served
Enterprise software, fintech, and any organization adopting AI-assisted software development
Technology advantage
AI-native reasoning engine paired with a 'Secure Knowledge Graph' built from the customer's own codebase, giving codebase-specific context that generic vulnerability scanners lack
How they differentiate
Focuses specifically on AI-generated code logic flaws (vs. traditional dependency/SCA scanning), using plain-English rule definition and codebase-specific context rather than generic pattern matching
Main competitors
Endor Labs, Legit Security, Apiiro
Key partnerships
Paladin Capital Group (lead investor, board seat via MD Mourad Yesayan), named customers RecordPoint and Zepto
Notable customers
RecordPoint, Zepto
Major milestones
January 20, 2026: Closed $4M seed round led by Paladin Capital Group, with Paladin MD Mourad Yesayan joining the board, June 30, 2026: Achieved SOC 2 Type 2 certification (report available via company Trust Center)
Growth metrics
Company-reported (product launch): teams using Dam Secure generate 20% fewer vulnerabilities, find/fix 40% more existing vulns, and push PRs 32% faster. Tracxn: ~10 employees as of Jun 30, 2026.
Market positioning
Emerging AI-native AppSec challenger targeting the security gap created by widespread adoption of AI coding agents, positioned against both legacy SAST/SCA vendors and newer AI-code-security entrants
Geographic focus
Global, with initial GTM concentrated in US and Australia/APAC enterprise markets
About Patrick Collins
Ex-Chief Product & Technology Officer at Zip Payments (2019-2021); executive roles at Secure Code Warrior; prior experience at Airtasker and Moovweb; earlier founded and exited mobile technology company 5th Finger. Serial entrepreneur, built six companies.
Latest news about Dam Secure
- AI security startup Dam Secure has closed a $4M Seed round led by Paladin Capital Group to secure AI-generated code at scale 🛡️ Research indicates that up to 50% of unconstrained LLM code contains vul
- Sydney-based Dam Secure raised $6.1 million in a Seed round led by Paladin Capital Group to tackle systemic risks in AI-generated code. With LLMs introducing vulnerabilities in up to 50% of generated
- Sydney-founded Dam Secure has raised 6.1 million dollars in seed funding led by Paladin Capital Group to tackle the security risks of AI-generated code. The platform enables teams to express security
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Official website: https://damsecure.ai/
