OUR MISSION
Help organizations use AI safely and responsibly.
We build controls that protect sensitive data, check AI outputs, and govern what agents are allowed to do. Our work gives teams practical ways to manage risk as they adopt AI.
ABOUT CORTEGA
Our mission and vision
AI is becoming part of how people work, access information, and make decisions. We want organizations to realize its benefits while protecting the people and data it touches.
OUR VISION
Autonomous AI that people and institutions can trust.
As AI systems make decisions and take actions across critical workflows, safety has to be built in from the start. We envision organizations getting the full benefit of AI while protecting the people, data, and systems behind it.
WHY THIS MATTERS NOW
AI agents can act on the systems people depend on.
Agents increasingly read documents, browse websites, call tools, and work with business data. A misleading instruction in an email or tool result can redirect that work. An incorrect answer can influence a decision. An unauthorized action can expose information or disrupt a service.
Reported attacks and safety evaluations show why model safeguards need support from the systems around them. As agents gain access and autonomy, organizations need to decide what they may access, what they may do, and when a person should review the result.
OUR APPROACH TO AI SAFETY
Guardrails belong in the way AI is deployed.
A model’s instructions are one layer of protection. Responsible deployment also requires access controls, data policies, output checks, and ongoing testing. We build Cortega to help teams apply those controls around their AI interactions.
Protect people’s data
Detect sensitive information and apply policies to model destinations and MCP tools. Keep access appropriate to the task and the person requesting it.
Explore Private AI →Limit unsafe actions
Inspect interactions for manipulation and policy violations. Apply tool permissions so an agent’s ability to act has boundaries beyond its prompt.
Explore Agent Security →Check and improve
Review answer quality, retain audit evidence, and test defenses as models, tools, and policies change. Use failures to guide the next improvement.
Explore AI Benchmarking →We see AI safety as an ongoing engineering responsibility. Guardrails work alongside model safeguards, human judgment, and clear organizational ownership.
FOUNDERS & LEADERSHIP
Experience in AI transformation and security.
Cortega’s founders bring experience creating security product categories, building enterprise infrastructure, and applying AI in healthcare. Their work connects the technical controls AI needs with the business decisions that make adoption successful.
Sri Ramachandran
Co-Founder & CEO
Sri brings more than 25 years of enterprise technology leadership across product, technology, and business strategy. He has created several product categories in security and led organizations through the work of taking new infrastructure products to market.
At Cortega, he applies that experience to AI transformation: helping organizations make security and governance part of adoption, from the first use case to broader deployment.
- Five-time CXO / general manager
- 23 patents, including two in AI security
Medhavi Bhatia
Co-Founder & CTO
Medhavi has led successful AI transformation initiatives and built AI/ML systems, including in healthcare. As co-architect of the original NexTone Session Border Controller, he brings deep experience in boundary security and enterprise infrastructure.
At Cortega, he leads engineering for secure, responsible AI deployment.
- 16 patents, including two in AI security
- Co-author of IETF publication RFC 5853
What that experience brings to Cortega
Securing communications and healthcare systems requires careful decisions about identity, access, availability, and evidence. We bring that discipline to AI—where a model’s ability to generate an answer or propose an action must be paired with controls over how it is used.
CORTEGA RESEARCH LABS
Contributing to safer, more responsible AI.
Our research examines agent security, guardrails, verification, and AI performance. We publish practical reports so teams can inspect the methods, understand the risks, and make better deployment decisions.
WORK WITH US
Discuss your AI safety requirements.
Bring your questions about data protection, agent permissions, or answer quality. We’ll explore how Cortega fits your environment.