Generative AI Security for LLM-Based Applications
Protect your AI apps from prompt injections, model manipulation, deepfake misuse, and data leakage with RTCS — a cybersecurity partner that understands AI inside out.
What We Secure
Secure every layer of your Gen AI application — from model behavior to user interaction — with defenses designed to stop real-world threats.
Prompt Injection & Jailbreak Attempts
Training Data Leaks / Overfitting Disclosure
LLM Output Monitoring & Abuse Detection
Deepfake Protection & Content Authenticity
Agent-based AI Interaction Security (RAG/Agents)
API Gateway & Auth Hardening
AI Model Access Control
LLM-aware Red Team Testing
Why RTCS?
RTCS goes beyond standard security audits — we build and break LLM-based systems ourselves. Our team includes AI researchers, pentesters, and software engineers who understand not just how generative AI works, but how it can fail, be misused, or manipulated. From attack surface analysis of chatbots, to Red Team simulations against prompt injection, and guardrail testing for safety and privacy violations, we help businesses ship AI features with confidence.
Development Support
We also provide LLM integration consulting, security-first design patterns for AI chat interfaces, fine-tuning advisory, and RAG pipeline reviews. If you’re building with OpenAI, Anthropic, Claude, or open-source models like LLaMA, Mistral, or Falcon — RTCS ensures you go to market secure by design.
FAQs – Generative AI Security for LLM-Based Applications
1. What types of AI applications do you support?
We secure LLM-based chatbots, AI copilots, content generators, agent-based systems, fine-tuned SaaS products, and any application that integrates or hosts generative AI models.
2. Can RTCS perform penetration testing on our LLM systems?
Yes. We specialize in Gen AI pentesting including prompt injection testing, jailbreak attempts, data leakage probes, token abuse, and inference manipulation. We simulate real-world attack scenarios against your AI stack.
3. Do you help with secure AI app development?
Absolutely. Our AI team offers consulting on best practices for safe LLM integration, guardrails, prompt filtering, vector DB security (for RAG pipelines), and more — from build to deploy.
4. Can you identify AI-related privacy or compliance risks?
Yes. We evaluate exposure risks tied to user data in training sets, hidden bias, GDPR/CCPA violations, and model hallucinations that may lead to regulatory scrutiny or reputational damage.
5. Which models and stacks do you support?
We support OpenAI (GPT-4), Claude, Cohere, Mistral, Meta’s LLaMA, Google’s Vertex AI, and fully open-source environments using LangChain, LlamaIndex, Pinecone, and Weaviate.
6. Can RTCS simulate adversarial AI threats?
Yes. Our Red Team simulates adversarial LLM input crafting, model misdirection, and multi-turn exploit scenarios to uncover vulnerabilities before attackers do.
7. How can we prevent prompt injection attacks in our AI applications?
Prompt injection attacks occur when adversaries manipulate inputs to alter an AI model’s behavior, potentially leading to unauthorized actions or data leakage. To mitigate this, implement strict input validation, employ contextual filters, and design prompts that minimize ambiguity between user inputs and system instructions. Regularly updating your model’s training data and incorporating adversarial testing can also help identify and address vulnerabilities.
8. What measures can be taken to secure our AI models against data poisoning?
Data poisoning involves injecting malicious data into a model’s training set, compromising its integrity and performance. To defend against this, maintain strict control over your training data sources, utilize robust data validation techniques, and monitor for anomalies during the training process. Employing techniques like differential privacy and implementing secure data pipelines can further enhance protection.
9. What compliance standards do your services support?
Our solutions align with industry frameworks such as OWASP, NIST, PCI-DSS, HIPAA, and GDPR, and we can help guide your product toward compliance from both technical and policy perspectives.
10. How fast can RTCS respond to a live security incident?
Our team offers rapid response capabilities — often initiating containment and triage within minutes. If you’re under active attack, our analysts and automated systems can isolate and mitigate threats in real time.
Contact Us.
Our Locations:
Vienna Austria
Gampaha Sri Lanka
