Autonomous Red/Blue Team operations with real-time prompt injection defense. Built for enterprises that can't afford to be breached.
Six specialized modules working at the same time to eliminate attack surfaces before adversaries exploit them.
Autonomous pentesting loops. Simulates prompt injection, SQLi, and XSS attacks to find vulnerabilities before adversaries do.
OFFENSIVEReal-time monitoring with autonomous patching. Detects LLM jailbreaks and modifies system prompts instantly upon detection.
DEFENSIVEDeep prompt inspection proxy. Analyzes semantic intent and token patterns to block data exfiltration in real time.
INSPECTIONZero-touch remediation. Identified vulnerabilities are patched automatically without human intervention or downtime.
AUTOMATIONReal-time dashboards and historical attack trend analysis. Visualize threat vectors and measure defense performance.
ANALYTICSML-powered risk scoring assigns every request a threat probability score, enabling fine-grained allow/deny decisions at scale.
ML-POWEREDEvery incoming prompt passes through our multi-layer inspection pipeline in under 12 milliseconds.
All traffic routed through the LobsterTrap proxy gateway before reaching any AI endpoint.
Semantic analysis, token pattern matching, and intent classification run in parallel pipelines.
Risk score computed from 40+ signals. Threshold-based routing to ALLOW, LOG, or DENY.
Blocked requests logged. Allowed requests forwarded with sanitized context to the LLM.
Security researchers competing to bypass LobsterTrap guardrails and strengthen the system.
Join 124+ security teams using Spectrum to defend their LLM deployments around the clock.
| Rank | Operative | Score | Attempts | Blocked | Status |
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Spectrum was created to solve a critical gap: as organizations deploy LLMs at scale, traditional security tools have no way to inspect or defend AI-layer traffic. We built LobsterTrap to change that.
LobsterTrap DPI operates as a transparent proxy between your application and any LLM endpoint. It inspects prompts at the semantic level — not just keyword matching — catching sophisticated injection attacks.
Our competitive simulation pits Red Team agents (trying to bypass guardrails) against Blue Team defenses (learning from each attack). This continuous adversarial loop strengthens the system daily.
Security researchers can use the Simulation tab to probe our defenses. Every successful bypass is captured, analyzed, and used to improve LobsterTrap. Top researchers earn leaderboard recognition.
Earn recognition and help make AI systems safer for everyone.