June 4, 2026
100 enterprise AI agents rated, plus an open source methodology you can use in procurement and security posture tracking.
Read more: AIRQ: AI Risk Quadrant — independent AI agent security rating (opens in new tab)June 4, 2026
100 enterprise AI agents rated, plus an open source methodology you can use in procurement and security posture tracking.
Read more: AIRQ: AI Risk Quadrant — independent AI agent security rating (opens in new tab)June 4, 2026
100 enterprise AI agents rated, plus an open source methodology you can use in procurement and security posture tracking.
Read more: AIRQ: AI Risk Quadrant — independent AI agent security rating (opens in new tab)
[ AI RED TEAMING · GENAI ]
Generative AI systems — multimodal models like GPT-4o, Claude 3.5, Gemini Ultra, DALL-E 3, Midjourney, and Stable Diffusion — represent a fundamental transformation in AI capabilities, and a dramatically expanded risk profile.
[ WHY GENAI RED TEAMING ]
The convergence of multiple modalities, rapid deployment cycles, and increasingly autonomous capabilities creates a complex attack surface that traditional security approaches cannot adequately address. From financial analysis to medical imaging, the stakes have never been higher.
Malicious instructions embedded in images and audio files manipulate model behavior, bypassing controls that only inspect text input.
Sensitive information leaks through unexpected modality combinations, where data exposed in one channel is reconstructed from another.
Complex attacks use multiple input modalities simultaneously, combining text, image, and audio payloads to evade single-channel defenses.
Highly convincing deepfakes across modalities pose digital-trust risks, enabling fraud, impersonation, and large-scale disinformation.
Visual and textual biases compound across modalities, producing harmful or discriminatory outputs that single-modality testing misses.
[ REAL-WORLD INCIDENTS ]
DALL-E and Stable Diffusion have been manipulated into producing prohibited, infringing, or harmful imagery through crafted prompts and embedded instructions.
Voice-cloning and audio-prompt injection enable convincing impersonation and inject hidden commands that text-only filters never see.
Synthetic video and combined-modality payloads defeat content moderation and erode trust in what users see and hear.
GenAI coding assistants can be steered into emitting insecure or malicious code, propagating vulnerabilities directly into production systems.
[ SOLUTION ]
Three integrated components secure your generative AI across every modality — from threat modeling through continuous assessment to advanced attack simulation.
Comprehensive risk profiling tailored to your specific GenAI implementation — whether for consumer applications, enterprise systems, or creative workflows.
Continuous security auditing covering hundreds of vulnerabilities and attack vectors across text, image, audio, and video modalities.
State-of-the-art attack simulation leveraging automated testing, AI-enhanced attack generation, and custom development capabilities.
[ GET A DEMO ]
Book a demo of our GenAI red teaming platform and discuss your multimodal security challenges with our team.
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No data access required. We red-team on your infrastructure, your way.
