Compromised models, poisoned training data, or manipulated inputs can corrupt decisions without triggering conventional security controls. We secure both the infrastructure that runs AI and the AI-specific attack surface that infrastructure security alone does not cover.
AI systems designed, deployed, and adapted in Ukraine's active threat environment, against adversaries that evolve in real time.
Secured AI/ML model distribution for consumer mobile applications serving more than 250 million users.
Protecting operational AI against adversarial inputs and membership inference attacks; detecting anomalous inference patterns indicating active manipulation; preventing model inversion.
We secure the full training infrastructure — from data pipeline and supply chain integrity to training data provenance and protection against data poisoning.
We harden compute, networking, and orchestration layers — enforcing isolation between tenants and classification levels, and ensuring cloud-native AI infrastructure does not introduce exploitable boundaries.
As AI systems gain autonomy over software and physical systems, access control alone is insufficient — operational AI requires enforced action boundaries, ensuring autonomous behaviour remains within a defined, auditable set of permitted actions.
On-device model encryption, anti-tampering, and licence enforcement — preventing extraction or modification of models on captured or compromised platforms.
Identify practical risks and vulnerabilities across your AI infrastructure and get actionable recommendations to mitigate them.
Security integrated into your AI/ML development cycle without slowing delivery. A tailored programme ensures what ships is defensible — technically and operationally.
AI evolves rapidly, and ready-made solutions don’t always meet unique needs. Through our R&D, we help clients turn unconventional challenges into deployable, high-impact solutions — many of our key innovations have originated this way.
Securing AI from model build to field inference
Securing AI across its lifecycle — datasets, training environments, models in the cloud and at the edge, and the AI-enabled applications. Built for ML models running in high-risk environments, shaped by real threats and operational requirements.
Helmet capabilities are built and running across our programmes in private and public sectors including mobile apps with 100 million+ users and defence systems.
Contact us to explore how we can support your goals.
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