Co-Founder
Profile summary: Secarma Sales Director
Cytix
10/10Traction
Cytix provides a change risk management platform that continuously monitors every software change, assesses its security implications, and validates high-risk modifications through agentic testing. The platform creates a persistent knowledge graph of the live system landscape, enabling data-led decisions that prioritize high-risk changes while auto-approving low-risk ones. Every decision, test, and finding is logged to the triggering change, making the entire process audit-ready and explainable for compliance purposes.
- Artificial Intelligence
- Cybersecurity
- Developer Tools
- Enterprise Software
- Software Only
Updated 1 month ago
Funding
Raised to date
$9MRaised 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.
across 2 rounds
NINI$7M · Series A
Announced Aug 2026 · from article date
Disclosed cumulative: $9M
2/2
RoundDateAmountValuationInvestors
Founders
Product
Problem
AI-assisted development, agentic workflows, and continuous delivery have outpaced traditional security models, making software change a distinct and immediate risk for organizations. Existing security tools can identify vulnerabilities but cannot assess the risk associated with each individual change, leaving security leaders without control or understanding of the changes flowing through their environments at machine speed.
Solution
Cytix provides a change risk management platform that sits between the software development lifecycle and risk, security, and compliance functions, acting as the control point through which every software change passes. The platform creates a persistent knowledge graph of the live system landscape to contextualize tickets, PRs, code diffs, and policies, enabling security teams to understand whether a change warrants attention and what risk it introduces. It then applies data-led decisioning to prioritize high-risk changes and auto-approve low-risk ones, while a multi-agent orchestration framework performs continuous change-driven testing and agentic validation of potential risks. Every decision, test, and finding is logged to the change that triggered it, ensuring that all recommendations are explainable, every decision is recorded, and the entire process is audit-ready for regulators.
Target Audience
Primary customers are enterprise and regulated businesses where change governance is a regulatory obligation, including organizations with significant software development operations and compliance requirements.
Features
- Persistent knowledge graph of the live system landscape that contextualizes tickets, PRs, code diffs, and policies
- Data-led decision engine that prioritizes high-risk changes and auto-approves low-risk changes based on evidence
- Multi-agent orchestration framework for continuous change-driven testing and agentic validation of potential risks
- Complete audit trail logging every decision, test, and finding to the change that triggered it
- Explainable recommendations with recorded decisions for regulatory compliance
- Integration point between SDLC tools and risk, security, and compliance functions