eBPF runtime defense, AI red-teaming, and binary analysis backed by 39+ published vulnerability records, including 15 MITRE-confirmed disclosures. Every hard metric on this site traces to a public artifact or a labeled internal benchmark.
Unifying Runtime Defense, Vulnerability Research, Security Automation, and Agent Infrastructure.
Free community scan available. Enterprise demos include private deployment and audit report walkthroughs.
Innora.ai in one answer
Innora.ai combines AI red teaming, eBPF runtime detection, code security, binary analysis, and security automation for teams evaluating AI-agent risk. The platform is built from the methodology that reported 31 vulnerabilities in 48 hours.
LLMs, RAG pipelines, AI agents, MCP tools — each one is a door attackers are already testing.
Traditional security tools don't understand AI. Your WAF can't detect a jailbreak. Your SIEM won't catch RAG poisoning. Your pentest team hasn't tested prompt injection. The gap is growing every day.
Crescendo, Many-shot, CoT Poisoning, Skeleton Key, Persona Modulation
Direct, indirect, instruction override, context manipulation
Vector poisoning, EchoLeak, embedding collision, context stuffing
Tool poisoning, shadowing, memory corruption, rugpull
Visual adversarial, hidden audio commands, QR injection, steganography
Runtime Defense, Vulnerability Research, Security Automation, and Agent Infrastructure — modular products built for enterprise scale.
Every finding confirmed with AddressSanitizer (20+ test runs each) and independently validated by three commercial LLMs before reporting.
One command to find what attackers already know about your LLM.
veridic scan — Full OWASP ASI assessment in minutes. Free Community tier.
Full platform: Nora Veridic + Nora Scan + Nora Guard + Nora Vision + Nora Content. Private deployment.
Public GitHub projects. 790+ security classes. 33+ LLM platforms. 43 MCP/Agent classes. Built by hackers, for defenders.