NebuSec
NebuSec provides an autonomous AI defense system that continuously monitors enterprise code and cloud infrastructure, scanning every code change with full repository context and reviewing pull requests before deployment. The platform escalates serious threats to a research team credited with discovering 200+ public CVEs in Chrome, Firefox, and the Linux kernel, and routes verified findings into existing developer workflows through an agent-agnostic pipeline.
- Cybersecurity
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Enterprise engineering teams ship code continuously, yet traditional security reviews occur too infrequently and lack full repository context, leaving vulnerabilities undetected until after a breach. Third-party dependencies, AI agents, and installed applications expand the attack surface faster than manual review can cover, making reactive security measures insufficient.
Solution
NebuSec provides an autonomous AI defense system that continuously monitors code and cloud infrastructure around the clock. The platform scans every code change with comprehensive repository context, reviews pull requests before deployment, and performs daily security posture assessments that autonomously resolve issues. When serious threats are identified, the platform escalates them to a team of elite security researchers with a track record of discovering zero-days in major browsers and operating systems. The system routes verified findings into existing developer workflows through an agent-agnostic pipeline, enabling AI-native remediation that connects security context across code generation, review, and deployment.
Target Audience
Primary customers are enterprise engineering and security teams at technology companies that need continuous, automated vulnerability detection integrated into their existing development workflows.
Features
- Autonomous vulnerability scanning of every code change with full repository context, covering first-party code, third-party dependencies, and app ecosystem access
- Pull request review integrated directly into development pipelines to block vulnerabilities before production deployment
- Daily continuous security monitoring that autonomously resolves issues before they escalate into incidents
- Threat modeling that maps application design into codebase-specific security models
- Agent-agnostic architecture supporting any AI model with options for on-premise and air-gapped deployments
- Research-backed detection capabilities from a team credited with 200+ public CVEs including Chrome V8 engine, Linux kernel, and Firefox JIT vulnerabilities
- Continuously updated vulnerability database with 1,179+ validated findings across 13+ open-source and commercial projects