- Penetration testing
- Research
- Tools and techniques
Keeping the Consultant in the Loop: How AI Supports Our Security Testing Strategy
Artificial intelligence is rapidly changing the security testing landscape, but effective penetration testing still depends on experienced consultants exercising judgement, creativity, and accountability. In this blog, we explain how Cyberis is using AI to accelerate analysis, improve efficiency, and support consultants during engagements, while ensuring that every finding remains validated and consultant-led. We also explore the risks, limitations, and security considerations around AI usage, including data handling, model deployment, and why human expertise remains critical when assessing real-world business risk.
- Penetration testing
- Research
- Tools and techniques
When project files become instructions: AI agents, CI pipelines and the new attack surface
AI agents now read repository files, skills, plugins and CI context as part of normal operation, which creates new attack paths across local development and automated workflows. This blog explains how those instruction channels work, why they matter from a security perspective, and what organisations should do to manage the risk before unsafe patterns become normalised.
- Penetration testing
- Tools and techniques
Common AI Implementation Mistakes to Avoid Part 5
Over the course of four articles, we have explored some of the most common AI implementation mistakes which have been observed during real tests. In this final article, we bring them together and outline the potentially devastating consequences for a business.
