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    Research & Intelligence

    Threat Intelligence & Adversarial Research

    Access our latest threat advisories, red-team case studies, and methodology briefs. Stay ahead of decentralized exploitation networks and understand exactly how adversaries are weaponizing emerging technology.

    Featured Research

    Generative AI and Automated Grooming Vectors

    An in-depth research note detailing how decentralized cyber-syndicates are utilizing LLM jailbreaks, synthetic media, and automated conversational agents to bypass standard Trust & Safety filters. Learn how to identify these vectors and patch platform vulnerabilities before they are exploited at scale.

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    Resource Types

    How We Help

    Red-Team Case Studies

    Declassified simulations demonstrating how we stress-test AI models to expose safety bypasses, sycophancy, and off-platform routing vulnerabilities.

    Threat Advisories

    Actionable intelligence on the latest Tactics, Techniques, and Procedures (TTPs) used by digital-native predators and evasive cyber-networks.

    Methodology Briefs

    Serious engineering and architectural deep dives into the ServalGuard™ framework, showing how to test resilience and implement proactive system immunization.

    Safie Education

    Child-friendly educational materials led by Safie the Serval, translating digital-safety concepts into clear, age-appropriate lessons for children under 13.

    Featured Research

    Latest threat intelligence and analysis.

    Threat Advisory

    How Marketplaces Can Align With the EU AI Act

    A practical breakdown of what the Act actually requires for consumer-facing AI, and where most marketplace platforms currently fall short.

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    Red-Team Case Study

    The Direct Impact of AI Safety Failures on User Churn

    Why a single behavioral failure does more damage to retention than a string of ordinary product bugs — and what that means for your roadmap.

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    Methodology Brief

    What Standard Red-Teaming Misses in Multi-Turn Conversations

    Most safety testing stops after the first response. Here's why the real risk usually shows up much later in the conversation.

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    Child Safety & AI Governance

    The AI Safety Reality Gap: Policy Says 13+. Reality Is Younger.

    Why age language cannot substitute for testing the children, behaviors, and access paths a platform may encounter in practice.

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    Company Announcements

    Milestones and research notes.

    Jul 2026

    RavenTrak joins the Microsoft for Startups program, adding Azure infrastructure and technical support to its evaluation capabilities.

    Aug 21, 2026

    ServalGuard™ methodology approved as RavenTrak’s serious framework for adversarial AI stress-testing and proactive system immunization.

    Aug 21, 2026

    Safie the Serval begins helping disseminate age-appropriate digital-safety educational content for children under 13.

    Sep 1, 2026

    RavenTrak partners with the Center for Digital Harm Prevention to advance research into digital harm affecting disabled people and children.

    Stay Connected

    Work with RavenTrak.

    Connect with RavenTrak for adversarial research, behavioral audits, and methodology designed for systems serving vulnerable populations.

    Contact RavenTrak