AI/ML SECURITY · ACTIVITIES
Securing the
Securing the
AI-native enterprise.
AI red teaming, model hardening, and governance — one practice, end-to-end.
120+
40+
3
24/7
Activities
Six disciplines. One AI security practice.
LLM Application Security
ML Model Security & Robustness
MLSecOps & Pipeline Hardening
AI Governance & Compliance
AI-Augmented Threat Detection
Strategy
Our four-pillar approach to AI security.
Find every model and AI surface.
Break it before adversaries do.
Make compliance continuous.
Watch the model in flight.
Who it's for
Built for teams already shipping AI.
Banks & Fintech
Government & Defense
Healthcare & Pharma
SaaS & AI-Native
Energy & Industrial
Telcos & Critical Infra
Frameworks we map to
Speak the language regulators & adversaries speak.
EU AI Act
NIST AI RMF
ISO/IEC 42001
OWASP LLM Top 10
MITRE ATLAS
UAE AI Charter
KSA SDAIA
SOC 2 / ISO 27001
Insights
Latest from the blog.
AI, LLM and ML security topics — hand-picked from the Yalla Hack blog.
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START WITH AN AI RISK BASELINE
Ship AI fast. Ship it secure.
A two-week AI risk baseline maps your models, surfaces top adversarial risks and outputs an EU AI Act / NIST AI RMF gap analysis. Fixed scope, fixed price.