Synapsed
At Synapsed, we believe deeply in building secure, trustworthy, and responsible artificial intelligence. As part of our ongoing mission to promote robust security standards in AI, we are proud to announce our leadership in launching two groundbreaking OWASP projects specifically focused on AI security and governance: the OWASP AI Maturity Assessment (AIMA) and the AI Testing Guide.
Why OWASP?
OWASP has long been recognized globally as a leading authority on software security. With its new AI initiatives, OWASP is extending its renowned expertise to the AI domain. The OWASP AI Maturity Model helps organizations evaluate and enhance their AI security posture systematically, ensuring they understand and mitigate AI-specific risks.
Meanwhile, the AI Testing Guide provides a comprehensive framework for identifying, analyzing, and mitigating vulnerabilities in AI systems, ensuring their robustness against adversarial attacks and ethical pitfalls.
OWASP AI Maturity Model: Guiding AI Maturity Excellence
The OWASP AI Maturity Model is an initiative led and launched by Synapsed researchers designed to help organizations assess, improve, and benchmark their AI security posture across multiple dimensions—ranging from governance and risk management to responsible AI principles. Inspired by traditional software maturity models, this comprehensive framework uniquely focuses on challenges specific to AI and machine learning, guiding organizations toward a robust, responsible AI security strategy.
Through clearly defined maturity levels, actionable guidance, and best practices, the AI Maturity Model empowers organizations to:
- Understand their current AI maturity level.
- Identify and address critical gaps in AI governance.
- Align AI practices with ethical principles and compliance requirements.
- Continuously measure and enhance AI security capabilities.
AI Testing Guide: Securing the Future of AI Applications
Additionally, we at Synapsed are thrilled to introduce and lead the AI Testing Guide, a comprehensive framework for security professionals, developers, and AI practitioners to systematically test and validate the security and ethical robustness of AI systems.
This pioneering guide covers critical testing domains, including:
- AI Application – Securing AI-driven applications from traditional and novel attacks.
- AI Model – Protecting ML models from adversarial attacks, prompt injections, and data poisoning.
- AI Infrastructure – Ensuring resilient and secure deployment infrastructures for AI solutions.
- AI Data – Safeguarding training data, ensuring privacy, fairness, and compliance.
The AI Testing Guide serves as a practical tool to help organizations proactively identify, remediate, and prevent vulnerabilities, thus fostering greater confidence in deploying AI securely.
Synapsed: At the Forefront of AI Security Innovation
Launching and leading these critical OWASP initiatives underscores Synapsed’s commitment to proactively addressing emerging threats and setting high standards for responsible AI. We strongly believe in open collaboration and community-driven advancements to ensure the broader AI ecosystem benefits from shared knowledge, expertise, and continuous improvement.
We invite you to join us in contributing to these exciting projects, helping shape a secure and ethical future for AI.
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Stay tuned to our blog for ongoing updates and insights into AI security!
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Synapsed Team
https://synapsed.ai