// Securing the intelligence behind your innovation.
Halborn's AI Security Assessment helps organizations identify vulnerabilities and adversarial risks within their AI models, data pipelines, and deployment environments - ensuring safe, reliable, and trustworthy AI operations.
// Deep technical expertise for secure AI adoption.
Specialists with backgrounds in ML engineering, cybersecurity, and AI assurance
Assess risks across model design, data collection, training, deployment, and integration
Deliver prioritized, practical steps to reduce exposure and strengthen AI system resilience
Evaluate training data, input validation, and model behavior for potential attack surfaces
Assess deployment pipelines, APIs, and permissions for misconfigurations or escalation paths
Test resilience against prompt attacks, data poisoning, and inference manipulation
Align with emerging AI security frameworks and risk management standards
Case Study: Strengthening Key Management and Driver Security for IntellectEU's Canton Network Infrastructure
Case Study: Securing Alpend's Privacy-Aware Institutional Money Market on Canton
Case Study: Securing a First-of-Its-Kind Liquidity Layer on the Canton Network for Tradecraft
Case Study: Securing Rayls’ Infrastructure for Institutional Blockchain Adoption
Case Study: Supporting a Large Settlement and Clearing House with Secure by Design Architecture
Case Study: Securing a First-of-Its-Kind Liquidity Layer on the Canton Network for Tradecraft
$1T
Value protected
5
Publicised zero days
5K+
Assessments completed
15K
Findings
800+
Happy clients
22
Platforms & languages