AI Firewalls & Gateways
Real-time inspection and filtering of inputs and outputs to LLMs and AI services. Blocks prompt injection, data exfiltration, and toxic content before it reaches your models.
Service Offering
AI Security Software
Tailored design and development of secured AI-based tools and applications to company's use cases – including architecture and integration of security controls.
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Bottom Line Up Front
Aiming to have your organisation achieve in building AI systems that are secure by design, not secured after deployment.
Quantropic provides tailored design and development of secured AI-based tools. We include secure architecture and integration of security controls into AI development and production-ready systems.
The Software Landscape
AI Security Tool Categories
Model Monitoring & Observability
Continuous monitoring of model behaviour, drift, latency, and output quality with automated alerting for anomalies that may indicate attacks or degradation.
AI-Native DLP Solutions
Data loss prevention specifically designed for AI workflows — preventing sensitive data from entering prompts, training datasets, and model fine-tuning pipelines.
AI Security Testing Platforms
Automated red-teaming and vulnerability scanning tools that continuously test your AI systems against known attack patterns and emerging threat vectors.
API Security for AI Services
Specialised API security protecting the endpoints that expose AI capabilities — rate limiting, authentication, input validation, and usage analytics.
Secure AI Development Platforms
End-to-end platforms providing secure development environments for AI with built-in governance, version control, audit trails, and deployment safeguards.
How We Help
Software Selection Advisory Process
We guide you through a structured evaluation process that ensures you select tools that fit your architecture, budget, and risk profile.
- Threat Model Mapping — Identify your specific attack surface and protection requirements
- Vendor Landscape Analysis — Shortlist vendors that match your technical and commercial constraints
- Proof of Concept Design — Structure vendor evaluations with clear success criteria
- Integration Architecture — Design how security tools fit into your existing CI/CD and operations
- Total Cost Analysis — Model licensing, infrastructure, and operational costs over 3 years
- Implementation Support — Guide deployment and tune configurations for your environment
Our Independence
- Works with experienced partners and vendors
- Recommend proven tools or build for you
Our only objective: the right tool for your specific requirements, implemented correctly.
Select AI security tools with evidence, not vendor noise.
Get independent guidance on the tools, architecture, and implementation path that fit your actual risk profile.