Attack & Defend.
Secure Enterprise AI Against Adversarial Threats.
Secure enterprise AI through adversarial testing, AI red teaming, vulnerability assessment, and proactive defense. RedShield exposes systemic model vulnerabilities before malicious actors can exploit them—fortifying your AI pipelines with battle-tested defenses and deterministic runtime guardrails.
Four Pillars of Adversarial AI Protection
Enterprise AI attacks bypass standard firewalls by attacking semantic logic directly. RedShield combines automated adversarial testing, human red teaming, vulnerability audits, and runtime defense to ensure impenetrable protection.
1. Adversarial AI Testing
Continuous automated fuzzing subjecting models to thousands of adversarial permutations: prompt suffix injection, token perturbations, multilingual jailbreaks, and multimodal payload exploits.
2. Expert AI Red Teaming
Human-led ethical hacking engagements conducted by world-class cybersecurity researchers probing complex cognitive traps, agentic tool privilege escalation, and business logic bypasses.
3. Vulnerability Assessment
Rigorous audits of entire AI data and inference pipelines. Uncover training data poisoning, PII extraction vectors, vector database contamination, and model weight extraction vulnerabilities.
4. Proactive Real-Time Defense
Hardware-accelerated inline guardrails deployed directly in front of your model endpoints. Intercept and neutralize malicious queries, PII leakage, and adversarial injections in real time.