| What it sells | - AIShield AISpectraScans AI/ML models and notebooks and performs red teaming of ML and LLM systems to find vulnerabilities such as adversarial attacks, model theft, data poisoning, prompt injections and jailbreaks.
- AIShield Guardian ML FirewallDetects and mitigates adversarial threats such as extraction, evasion and poisoning against deployed machine learning applications, integrating with tools like Splunk and Sentinel.
- AIShield Guardian GenAI GuardrailsFilters inputs and outputs of generative AI applications and LLMs to mitigate prompt injection, jailbreaks, sensitive data exposure and bias, with PII anonymization.
| - WonderSuite[1]A unified platform that combines pre-launch adversarial testing, real-time guardrails, and ongoing production evaluation for GenAI and agentic systems.
- WonderBuild[1]Pre-launch red teaming that stress-tests AI models, applications and agents for prompt injection, jailbreaks, data leakage and policy violations before deployment.
- WonderFence[1]A real-time AI firewall that intercepts unsafe inputs before they reach a model and blocks harmful outputs before they reach users.
- WonderCheck[1]Periodic post-launch red teaming and evaluation that detects model drift, regressions and emerging vulnerabilities in production AI systems.
- Rabbit Hole[1]A proprietary adversarial intelligence dataset of real-world harmful and manipulative AI interaction data that powers the WonderSuite products.
| - DetectContinuously red-teams AI with dynamic, use-case-specific attacks intended to uncover security, safety and brand risks.
- RemoveApplies real-time guardrails intended to stop threats as they happen.
- MonitorGives real-time insight into AI risk and compliance status to prepare for audits.
- ComplyTranslates internal policies and external regulations into automated guardrails and compliance evidence.
| - Model Scanning[1]Scans third-party and proprietary machine learning models to detect hidden risks.
- Red Teaming[1]Runs continuous testing intended to identify threats early and validate AI defenses.
- AI Guardrails[1]Applies policy-based controls intended to prevent misuse, data leakage and adversarial attacks on AI systems.
- Agentic and MCP Protection[1]Monitors autonomous AI agents and MCP connections and is intended to guard against rogue behavior.
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| G2 and Gartner Peer Insights | - G2: Not stated on its pages
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