AI Security
We secure your AI end to end: defending against prompt injection, jailbreaks and data leakage, hardening models and endpoints, and red-teaming before you ship.
Customer-facing AI widens the attack surface
Exposed by default
- Open to prompt injection
- Data and PII can leak
- Abuse and cost spikes go unnoticed
Safe by design
- Guardrails against injection
- PII protected across the pipeline
- Abuse detected and contained
Break it before attackers do
We red-team your system to find weaknesses first, then harden and re-test, and keep it monitored in production.
Assess the surface
We map the risks: injection, data leakage, endpoint and supply-chain exposure.
Red-team
We deliberately attack with jailbreaks, injections and exfiltration to find weaknesses.
Harden
Guardrails, input and output filtering, PII handling and model and endpoint hardening.
Monitor and respond
Monitoring, abuse detection, audit trails and incident response to keep the system safe in production.
What we deliver
Prompt-injection defense
Filtering and constraints against malicious input.
Guardrails & policy
Policy that keeps output in bounds.
Data protection & PII
Redaction, minimisation and access control.
Model & endpoint security
Securing the model and its endpoints.
Red-teaming & evals
Adversarial testing before you ship.
Monitoring & abuse detection
Detect misuse, anomalies and cost-abuse in production.
- Pre-launch red-teaming of LLM applications
- Guardrail and policy design for customer-facing assistants
- PII protection and data-leakage prevention
- Model and endpoint hardening
- Continuous monitoring and abuse detection for live AI
- Supply-chain and endpoint security for AI systems
Fits into your existing stack
Neulaxy solutions integrate with the systems, tools, data and processes you already use, through clean and well-documented APIs. We fit into your stack rather than asking you to rip out and replace what works.
From our insights
Frequently asked questions
What are the main security risks of deploying AI and LLMs?+
Key risks include prompt injection, data leakage and PII exposure, insecure model endpoints, supply-chain vulnerabilities, and abuse that drives up cost. Customer-facing AI widens the attack surface, so it needs deliberate protection.
What is prompt injection, and how do you defend against it?+
Prompt injection is when malicious input tricks a model into ignoring its instructions or leaking data. We defend with input and output filtering, strict system-prompt design, tool-use limits, and guardrails, then validate with red-teaming.
How do you protect sensitive data and PII in AI systems?+
We apply data protection and PII handling across the pipeline, including redaction, access control, minimisation, and policy guardrails, so sensitive information is not exposed to models or to users who should not see it.
What is AI red-teaming?+
Red-teaming is adversarial testing where we deliberately try to break your AI, using jailbreaks, injections, and data exfiltration, to find weaknesses before attackers do, then harden the system and re-test.
Can you secure an AI product we have already built?+
Yes. We assess existing deployments, red-team them, and add guardrails, monitoring, and endpoint and model hardening, plus compliance and audit support, so you can ship customer-facing AI with confidence.
How does AI security relate to governance and assurance?+
They are complementary but distinct. Security defends your AI from attack; governance and assurance prove it is valid, fair and compliant. If you need the second, see our AI Governance and Assurance solution.
Need to validate and prove your AI, not just secure it?
AI Governance & AssuranceReady to put AI security to work?
Book a 30-minute consultation and we will map the highest-leverage first use case.