ADVERSARIAL DEFENSE FOR AI BUILDERS
Cover 100% of your ML-based vulnerabilities, easily
Trusted by Industry Leaders Worldwide
Enterprise-grade
Adversarial Defense
Defend your models and datasets against ML-based adversarial attacks that could jeopardize their integrity and performance.
Developer-First
All Model Types
Easy Integration
Fully Automated
Detect critical risks in your AI system, before production
Protect your Datasets and Models against 100% of ML-based Adversarial Threats
End-to-End Security Compliance
Meet AI Security and Safety Standards from a single Platform, including NIST, MITRE's ATLAS, and OWASP LLM Top 10.
Protect against
Evolving Threats
Identify novel, Zero-day AI vulnerabilities and
Shield Automatically from ML-based attacks.
Developer-first, Enterprise ready
Built for developers, we are also Enterprise-friendly with security features such as data encryption at REST, TLS for communication, user authentication, and role-based access control (RBAC).
Beyond leading security frameworks
Our tests for ML-based attacks are mapped to industry and regulatory standards such as OWASP Top 10 for LLM Applications, NIST's Adversarial ML Taxonomy, MITRE's ATLAS and the EU AI Act, amongst others.
For any Model and any Threat
Whether you're using an LLM, a Regression model, a Clusterization or Classification-based one, Defaince's Adversarial Defense Platform will help you secure 100% of model-based vulnerabilities.
Who is it for?
Start-ups. Scale-ups. Enterprises.
Make the complex, simple
Discover our audits
AI Model Security
and Privacy
Ensure your model's privacy using machine unlearning, zero knowledge machine learning (ZK-ML), fully homomorphic encryption (FHEML), differential privacy (DP) and ensembles methods to ensure the utmost protection of your sensitive data and models.
AI Model Robustness
Our cutting-edge AI security solutions protect models from
threats like adversarial attacks,
model poisoning, evasion, and
extraction. We use techniques like
adversarial training, input sanitization, anomaly
detection, distillation, ensembles and
model verification to fortify models
against risks and ensure performance and accuracy.
AI Model Scaling
Our AI model scaling solutions aim to maximize the
potential of your models by boosting their capabilities
and optimizing their performance. Through techniques like
distillation, we can
reduce the number of parameters required
for a given task, leading to
faster inference speeds and increased
model robustness and reliability.
AI Governance
and Compliance
By implementing robust governance and compliance measures,
organizations ensure that AI systems are developed and
used responsibly, ethically, and
in compliance with legal
and regulatory requirements, thereby
minimizing risks and maximizing the benefits of AI
technologies.
Secure your AI systems now.
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