SecNode provides a unified security platform that replaces multiple point tools with autonomous agents, a shared memory layer, and its own EU‑resident LLM called Hive Mind for strong security reasoning. By owning the model and running it locally, the service ensures continuous protection without reliance on third‑party APIs that can be disabled, offering consistent, context‑aware offensive security intelligence.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams are overwhelmed by a multitude of point tools that generate noisy findings, creating tool sprawl and leaving critical vulnerabilities unaddressed. Existing AI security solutions rely on third‑party models that can be disabled or restricted, exposing organizations to loss of protection.
Solution
SecNode delivers an autonomous security platform that consolidates scanning, analysis, and remediation into a unified system. Its architecture consists of AI agents that execute security tasks, a shared memory layer that continuously learns the environment to reduce manual triage, and Hive Mind, an EU‑resident large language model purpose‑built for security reasoning. By owning the LLM, SecNode ensures the intelligence cannot be switched off by external parties and keeps all data within the EU. The agents validate findings, generate reproducible proof‑of‑concept fixes, and create merge‑ready pull requests, closing the loop from detection to remediation. Continuous context sharing across layers cuts noise by over 90%, allowing engineers to focus on genuine risks and accelerate vulnerability resolution.
Target Audience
SecNode targets mid‑market and enterprise development and security teams that need an integrated, autonomous solution to manage vulnerabilities without extensive tool stacks.
Features
- Autonomous agents that replace dozens of point tools, performing scanning, validation, and fix generation
- Shared memory layer that retains contextual knowledge of the environment, reducing manual review workload
- Hive Mind, a proprietary EU‑resident LLM specialized in security reasoning, eliminating reliance on third‑party APIs
- Automated creation of reproducible proof‑of‑concept patches and merge‑ready pull requests for each validated finding
- Noise reduction of scanner output by over 90% through continuous learning and contextual filtering
- GDPR‑compliant data handling with encryption at rest and in transit, and isolated tenant environments