Securelytix is building the security control layer between AI agents and enterprise data.
Our products focus on data security, tokenization, privacy infrastructure and secure access for AI-driven applications. We are building for enterprises where sensitive data cannot be exposed to uncontrolled AI systems and applications.
We are backed by a strong engineering team and areworking with enterprise customers across fintech, e-commerce and other regulated industries.
Why Securelytix
Securelytix is entering a young but rapidly developing market at the intersection of AI, data security and privacy infrastructure.
With the DPDP compliance timelines approaching, enterprises are increasingly evaluating how they discover, protect, tokenize and control sensitive data across applications and AI systems. We have already started engaging with enterprises, and demand and conversations are beginning to come in from the market, including PET (Privacy-Enhancing Technologies) use cases.
This is still an early market — which means the prospect is not just to join an existing product team, but to help define the technology and engineering standards for an emerging category.
You will work on problems around:
• Data vaulting & tokenization
• AI-agent security and identity
• Privacy-enhancing technologies
• Enterprise data protection
• Distributed systems and security infrastructure
• Building products from 0 → 1 → enterprise scaleIf you wa
• nt to work on hard engineering problems in a market that is still being defined, this is the stage to join.
• What You'll Work On
• Build high-performance backend services and APIs
• Design distributed and fault-tolerant systems
• Work on data vaulting, tokenization and privacy infrastructure
• Build authentication, authorization and identity systems
• Develop security infrastructure for AI agents
• Work with Go, Kubernetes, Post