AI & Autonomous Defense Research
Pioneering adversarial machine learning research. We defend enterprise AI deployments against prompt injection, model poisoning, and autonomous threat actors.
Explore AI DefenseSecuring generative systems and autonomous agents.
Defending the AI-Driven Enterprise
As organizations rapidly embed Large Language Models (LLMs), RAG pipelines, and autonomous AI agents into core workflows, adversaries are developing brand-new attack vectors specifically targeted at model logic.
Cyberella AI Research operates on two fronts: red-teaming enterprise machine learning deployments to expose prompt injection and data leakage risks, while engineering proprietary AI detection engines that autonomously triage millions of alerts in real time.
- Adversarial LLM Hardening:Protecting retrieval pipelines against indirect prompt injection, sensitive data leakage, and jailbreak exploits.
- Autonomous Security Agents:Researching context-aware AI models that correlate disparate endpoint telemetry to suppress noise and surface critical intrusions.
Where artificial intelligence meets offensive security.
Adversarial Machine Learning
Investigating model poisoning, evasion attacks, and gradient-based adversarial perturbations designed to bypass standard classifiers.
LLM & Agentic Red Teaming
Simulating automated attacks on multi-agent architectures, testing guardrail bypasses, tool-calling exploitation, and API credential extraction.
AI-Augmented Threat Hunting
Developing self-supervised models that discover stealthy 'living-off-the-land' activity by learning legitimate administrator behavior baselines.
Practical safeguards for modern enterprise AI.
OWASP Top 10 for LLMs Alignment
We engineer active evaluation test suites testing for Prompt Injections (LLM01), Insecure Output Handling (LLM02), and Training Data Poisoning (LLM03).
- Sanitization filters for vector database embeddings
- Guardrail validation layers preventing model jailbreaks
- Output encoding to block indirect Cross-Site Scripting
Autonomous Triage Engines
Applying proprietary fine-tuned models to correlate telemetry from endpoints, cloud APIs, and identity providers into complete attack narratives.
- 90%+ alert fatigue reduction for tier-1 SOC queues
- Automated timeline generation during active breaches
- Explainable AI outputs detailing exact reasoning trails
Secure your AI initiatives before deployment.
Partner with Cyberella to audit your LLM applications, establish secure model guardrails, and implement autonomous defense architecture.