We Hardened an AI Security Platform Against 16 Critical Vulnerabilities
AEGIS is a new security platform designed to protect AI systems against seven critical vulnerabilities, including prompt injection and supply chain attacks. The platform offers features like IAM for AI agents, runtime sandboxing, and document scanning to secure AI deployments.
Why it matters
As AI integration grows, robust security frameworks are essential to prevent data breaches and unauthorized system manipulation.
Prompt injection, agent hijacking, MCP attacks, RAG poisoning, supply chain, model extraction, and vector database breaches. Every competitor covers 1-2. AEGIS covers all 7.
Deploy in 5 minutes. From $5K/year. API live at apiaegissecurity.tech
Every competitor covers 1-2. AEGIS covers everything.
3-classifier ensemble + regex fallback blocks prompt injection in <7ms. DAN jailbreak, system extraction, and role override all detected at 0.98 confidence.
IAM for AI agents. Every tool call checked against policy. Default-deny. Unique to AEGIS.
First commercial MCP security. 31 attack types detected. Runtime sandboxing.
Dual-layer protection. Scan documents before embedding. Trace queries after retrieval.
Scan models, packages, containers. CVE detection. Typosquatting. Pickle deserialization.
LoRD-resistant watermarking. Query monitoring. Output perturbation. Protect your IP.
AES-256 encryption. Differential privacy. IAM access control. Reconstruction detection.
AEGIS monitors itself. Config integrity, environment checks, runtime state, anomaly detection.
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