AI Security Solutions
AI security solutions for business — prompt injection defense, model red-teaming, and access controls that protect production AI systems from misuse.
Overview
VibeMind AI Solutions builds AI security controls for businesses running models in production who need protection against prompt injection, data leakage, model extraction, and adversarial inputs — risks that standard application security tooling wasn't designed to catch. We treat AI systems as a distinct attack surface: an LLM that ingests user content can be manipulated through the content itself, and a model API can leak training data or proprietary logic if access controls aren't built specifically around how models respond, not just how they're called.
Our AI security work includes red-teaming your models against known attack patterns, hardening the input and output boundaries around LLM applications, and setting up monitoring that flags anomalous query patterns before they become an incident. We build these controls to fit into your existing security stack and compliance reporting rather than creating a separate AI security silo your security team has no visibility into.
Use Cases
- Model security
- Threat detection
- Compliance
- Data protection
- Security automation
How We Work
- 01
Consultation
We understand your needs and goals
- 02
Design
We architect the optimal solution
- 03
Development
We build and rigorously test
- 04
Deployment
We launch and provide support
Frequently Asked Questions
What's the difference between AI security and standard application security?
Standard application security tools scan for known code vulnerabilities and don't understand that a chatbot's own conversational input can be an attack vector, or that a model's outputs can leak sensitive training data. AI security requires testing the model's behavior under adversarial prompts and monitoring output patterns, which is a different discipline than firewall and code-scanning tooling.
How often should our AI systems be red-teamed?
We recommend an initial red-team assessment before any production launch, then a follow-up review after significant model updates or prompt changes, since new capabilities often open new attack surfaces. For high-exposure systems handling sensitive data, quarterly reviews are a reasonable baseline.
Can you secure AI systems we didn't build ourselves?
Yes, we regularly assess and harden third-party AI tools and vendor-integrated models your team has already deployed. We audit the access boundaries and data flows around the tool even when we don't have visibility into the vendor's underlying model.
Does AI security work integrate with our existing compliance reporting?
Yes — we map findings and controls to the frameworks you already report against, such as SOC 2 or ISO 27001, rather than producing a standalone AI security report your auditors have no context for. This is scoped during the initial engagement based on what your compliance team actually needs.
Ready to Get Started with AI Security Solutions?
Let our experts help you implement ai security solutions solutions built for your business needs.