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[AI & Data]

Security built for
the AI-native era.

AI and data companies face a threat landscape that traditional security tooling was not designed for, prompt injection, model extraction, pipeline poisoning, and emerging EU AI Act obligations. TechSonar embeds senior security engineers who understand AI systems, not just perimeter security.

EU AI Act

High-risk AI system obligations mapped and evidenced

OWASP LLM

Top 10 vulnerabilities assessed and remediated

GDPR

AI data processing obligations met with engineering controls

SOC 2

Type II certification for AI-powered products and platforms

The challenge

What makes AI & data security hard.

[01]

AI Model & Pipeline Security

LLM prompt injection, model extraction, training data poisoning, and RAG pipeline attacks are emerging threats that traditional security tooling was not built to detect or prevent.

[02]

Data Governance & Privacy at Scale

AI and data platforms process vast quantities of personal and sensitive data. GDPR, the EU AI Act, and emerging AI governance frameworks impose obligations that require engineering, not just policy.

[03]

MLOps & Supply Chain Risk

Model registries, pre-trained weights, third-party datasets, and open-source ML libraries introduce supply chain risk that is poorly understood and rarely assessed.

[04]

Agentic AI & Autonomous Systems

Agentic AI systems that take real-world actions introduce novel attack surfaces. Tool-use, memory persistence, and multi-agent orchestration create security boundaries that do not exist in traditional software.

[Get started]

Ready to secure your AI systems before they reach production?

Whether you are preparing for EU AI Act compliance, need AI penetration testing, or want to build security into your ML pipelines, TechSonar can get you there. Senior engineers who understand AI, embedded, doing the work.