AI security requires more than technical safeguards. RedStream is being developed to monitor real-world narrative threats—helping protect models, users, and regulatory compliance.
LLM Architectures Evaluated
Spanning frontier systems and open-weight models across multiple alignment strategies
Adversarial Scenarios Executed
Systematic testing with multi-variant prompts across all RS-7 risk categories, spanning multiple risk levels
Safety and Alignment Vulnerabilities
Indicative of systemic safety breakdowns under adversarial pressure
During the initial adversarial testing using RedStream methodology, the results demonstrated systemic risks in both small (<1B) and large (>5B) models- with red-level responses triggered in nearly 30% of runs. Our approach provides a structured, model-agnostic evaluation system for AI safety, misuse exposure, and risk classification.
These results reflect a broader crisis in AI security that extends beyond our controlled testing environment. Leading AI systems internalize and promote false narratives from hostile networks 33% of the time, according to industry audits.¹ State-sponsored actors exploit how AI models interpret information to weaponize narrative warfare—attacks that traditional security measures struggle to detect. ¹ [NewsGuard, March 2025]
High-risk AI systems face up to €15M fines or 3% of global turnover for non-compliance with adversarial testing requirements.
RedStream's framework is designed to help organizations prepare for upcoming regulatory requirements, with a focus on documenting security testing and risk mitigation strategies.
Learn About Compliance RequirementsCollect Intelligence
Map Threats
Run Tests
Flag Risks
Generate Reports
Interactive Dashboard
RedStream plans to automate risk assessment workflows for reasonably foreseeable misuse—aligning directly with EU AI Act Article 9 requirements. Each test will be timestamped, mapped to MITRE ATLAS tactics, and generate structured risk management reports for regulatory documentation
Proactive simulation of real-world threats enterprise LLMs face
Combines intelligence (OSINT) with automated adversarial testing
Maps test failures to adversarial attack frameworks, aligned with MITRE ATLAS™ (no affiliation)
Purpose-built for EU AI Act, our platform will provide audit-ready reports and clear insights through an interactive UI
RedStream is developing a platform to address critical security gaps in AI systems—focusing on narrative-based threats that traditional technical solutions often overlook.
RedStream will trace emerging narrative threats across multiple sources, providing early warning of potential risks before they impact client AI systems.
RedStream will align with industry-standard security taxonomies, enabling standardized assessment and documentation of AI vulnerabilities and narrative-driven threats.
Our platform is being designed to identify patterns and relationships between seemingly disparate narrative threads, enabling comprehensive threat assessment.
RedStream is developing structured reporting and assessment tools to help organizations meet emerging regulatory requirements for adversarial AI testing.
As we build our platform we welcome conversations about AI security challenges and our approach to addressing them.
We welcome partnership inquiries and feedback to help shape early deployments and testing as we develop RedStream.
For collaboration inquiries: info@redstream.ai