Prompt Injection Attacks
Malicious inputs designed to override system instructions or manipulate model behaviour.
SOLUTIONS
LLM & AI Security
AI security strategy are built to focus on protecting models, agents, and bots from threats. Covers company data protection, model integrity, and continuous monitoring.
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INSIGHTS
AI requires stronger, different security than traditional cybersecurity as it faces unique risks such as prompt injection and model manipulation.
Quantropic provides security assessment and protection services for LLMs and AI systems. We identify vulnerabilities specific to AI technologies and design defensive architectures that protect your AI assets while maintaining performance.
The Threat Landscape
AI-Specific Security Threats commonly known
Model Inversion & Extraction
Techniques used to reverse-engineer training data or to expose intellectual property and sensitive information.
Training Data Poisoning
Adversarial manipulation of training data or cause targeted misclassification at inference time.
Adversarial Examples
Subtly modified inputs designed to cause confident misclassification, potentially bypassing safety filters.
Data Leakage & Privacy
Unintended disclosure of sensitive training data or confidential organisational information.
Supply Chain Attacks
Compromise of pre-trained models or third-party services that introduce vulnerabilities into your AI pipeline.
What We Deliver
AI Security Services
Our AI security practice delivers 5 sections of comprehensive protection across the full AI lifecycle — from design through deployment and operations.
- AI Threat Modelling
- LLM Security Assessment for Red-team
- Secure Architecture Review
- Input Validation Design
- Model Monitoring & Detection
- Incident Response Planning Playbooks
Why AI Security is Different
Traditional application security assumes:
- Inputs can be fully validated and sanitised
- System behaviour is deterministic
- Code review catches most vulnerabilities
- Perimeter defence is effective
AI systems break every one of these assumptions. Companies need security designed for non-deterministic, probabilistic systems with open-ended input surfaces. Quantropic works with enterprises to tailor to their environment.
Find the AI security gaps where conventional testing misses.
Pressure-test your models, prompts, integrations, and operating controls before attackers or auditors do.