AI Security Engineer

Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology.

From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation.

The company’s efforts helped organizations build the very fabric of connectivity that now powers our modern world.

Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly.

While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers.

Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape.

Our story is more than just a story of technology – it’s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future.

• Design reference architectures for secure LLM/AI agent deployments across Azure, AWS, or hybrid environments.
• Establish defense-in-depth controls for model endpoints, vector databases, prompt routing, tools/plugins, and orchestration layers.

• Implement runtime guardrails including prompt injection defenses, output content filtering, PII detection/redaction, jailbreak prevention, and tool use restrictions.
• Codify enterprise policies (acceptable use, data residency, retention, secrets handling) into enforceable controls through middleware, gateways, and policy engines.