Manchester-Based Cytix Wants to Make Application Security Continuous With AI
What Is Cytix? Inside the AI-Powered Platform Transforming Application Security
Software development is moving faster than traditional security processes can comfortably handle. AI coding tools and agentic development systems allow engineering teams to create, modify, and release software at unprecedented speed, but every change can introduce new security risks. Cytix is building a security decision layer designed for this environment, helping organizations understand the context behind software changes and determine which ones require attention. Instead of treating every ticket, pull request, or release as an isolated security event, Cytix connects development activity with security and risk context to determine the potential impact of a change.
Its platform is designed to help security and engineering teams decide what response is proportionate and what evidence should be retained. This approach moves application security away from a model where teams attempt to test everything equally and toward a more contextual model based on actual risk. Cytix already powers continuous testing programmes operated by KPMG and NCC Group, giving the company a foothold in enterprise cybersecurity where organizations increasingly need security controls that can keep pace with continuous software development.

Cytix Use Cases and Solutions: How AI and Human Expertise Strengthen Cybersecurity
Cytix’s platform brings together multiple capabilities designed to support security leadership, security teams, developers, governance and risk teams, and penetration-testing partners. Its Instant Risk Assessment solution helps organizations evaluate software changes and identify where security attention is most necessary, while Automatic Change Approvals can help streamline low-risk changes without forcing security teams to manually review everything.
For development teams working with increasingly autonomous coding agents, Cytix also provides agentic development guardrails intended to help keep AI-driven software creation within appropriate security boundaries. Its Agentic Pentesting capability extends the approach into offensive security, while Change-Driven Testing connects security testing to actual software changes instead of relying exclusively on fixed testing schedules. Cytix’s platform also includes an Audit-Ready Change Record, allowing organizations to retain evidence explaining what changed, why it mattered, and how the associated risk was handled. The broader idea is that automation should not eliminate human cybersecurity expertise.
Instead, AI can process the enormous volume of software changes generated by modern development environments while security professionals focus their attention on the decisions that genuinely require judgment. For businesses, this combination could make security less of a bottleneck while improving the visibility and accountability of application security programmes.

Cytix Raises $7 Million to Accelerate Its Vision for AI-Driven Application Security
Cytix’s approach has attracted investor attention as organizations confront the security implications of AI-driven software development. The company has raised $7 million in Series A funding, providing capital to accelerate its platform and expand its efforts to address the growing cyber risk created by faster, increasingly autonomous software development. The funding arrives at a time when traditional application security models are under pressure.
When development teams can generate code, open pull requests, and ship changes with AI assistance, security teams can quickly become overwhelmed if every change requires the same manual review process. Cytix’s strategy is to create a layer that understands software change in context and determines where testing, approval, or human intervention is actually necessary. This could become increasingly important as AI agents move from assisting developers to performing larger portions of the software lifecycle themselves.
The company is effectively betting that the future of application security will not be about slowing software development down, but about creating intelligent controls that can operate at the same speed as the development process. With its $7 million funding round and relationships with cybersecurity organizations such as KPMG and NCC Group, Cytix is positioning itself to become part of the infrastructure organizations use to govern software risk in an increasingly AI-driven development world.

