Secure AI Adoption
Create approved paths for employees, developers, applications and agents to use AI with appropriate visibility, data controls and model access.
Organized around outcomes
Start with the outcome, not the product stack.
AI security problems cross identity, data protection, models, applications, infrastructure, governance and operations. Deadlights organizes solutions around the outcome the organization needs to achieve.
Jump to a solution5 outcomes
AI Governance & Control
Translate governance language into accountable decisions, policy points, enforcement, exceptions, evidence and operating ownership.
Sensitive Data Protection for AI
Connect AI usage to DLP, data classification, policy enforcement and observability so sensitive information is handled intentionally.
Integrated AI Security Architecture
Bring model gateways, identity, data protection, observability, local inference, private AI and external providers into one coherent architecture.
AI Pilot to Production
Resolve the security, architecture, resilience, governance, monitoring and ownership gaps that keep successful proofs of concept from becoming reliable production systems.
Need help deciding where to start?
Begin with the use case, not the tooling.
A strategy session can begin with the business use case and current architecture, even if the final tooling has not been selected.