Enterprise AI security, governance, and LLM protection for secure AI adoption.
- Prompt override attempt
- Cross-app access check
- Policy escalation event
Epidamnus gives organizations an enterprise AI security platform for AI applications, LLM traffic, and secure agentic workflows. Centralize AI governance, improve auditability, inspect AI traffic, and move from experimentation to production deployment with stronger confidence.
Enterprise AI security and governance for organizations that need AI adoption without control gaps.
Epidamnus is designed for enterprises that need a serious operating model for AI security. That means AI governance, AI traffic visibility, reviewability, and safer rollout discipline across LLM applications, protocol flows, and agentic runtime activity.
One enterprise AI security platform for safer AI rollout, stronger controls, and better operational clarity.
Epidamnus brings AI governance, AI inspection, operational visibility, and secure workflow controls into one platform so organizations can scale AI with fewer unknowns.
Centralized policy and control
Define how AI should be used across teams, applications, and operating environments without relying on fragmented controls.
Visibility into AI interactions
Inspect activity and surface security-relevant context around prompts, decisions, outcomes, and escalations.
Auditability for real-world deployment
Give security and operations teams a stronger record of what happened, why controls triggered, and what requires review.
Purpose-built AI security offerings across gateway, protocol, and runtime control layers.
Epidamnus is not one generic AI feature. It is a platform with distinct operating surfaces for securing AI traffic, controlling protocol mediation, and governing agentic runtime activity.
Inspect and govern AI traffic with stronger enterprise control.
Bring policy, traffic oversight, and safer deployment posture to internal assistants and customer-facing AI systems.
MCP ProxyIntroduce secure protocol mediation and better operational visibility.
Apply inspection, access boundaries, and reviewability to model-connected workflows without exposing the runtime directly.
Secure Agentic AI RuntimeSupport safer multi-step AI workflows with stronger oversight.
Help organizations adopt agentic execution with governance alignment, human review paths, and better runtime accountability.
Support safer LLM and AI application deployment with centralized policy and inspection.
Epidamnus helps teams place governance and security where it matters most: at the operational layer where AI requests, approvals, and outcomes are actually moving through the business.
- Centralized governance across AI usage surfaces
- AI traffic inspection and control alignment
- Operational visibility for security and audit stakeholders
Apply secure mediation to model control protocol flows without inventing a second runtime.
The MCP Proxy is positioned for organizations that need controlled access, visibility, and reviewability around protocol-connected AI behavior while preserving clear operational boundaries.
- Safer protocol exposure and access boundaries
- Better visibility into mediated AI workflows
- Clearer operational context for security teams
Adopt agentic AI with stronger runtime oversight, governance, and accountability.
Epidamnus helps organizations support secure agentic workflows with better control points around execution, approvals, operational visibility, and audit-ready runtime behavior.
- Safer agentic workflow rollout
- Runtime oversight and decision accountability
- Stronger fit for enterprise control expectations
Support enterprise AI programs across industries, teams, and operating needs.
The platform is relevant anywhere organizations need stronger governance, clearer visibility, and better operational control around AI usage.
Move from pilots to production with stronger control discipline.
Help teams adopt AI without relying on informal guardrails or fragmented processes.
Align enterprise expectations across applications and workflows.
Centralize how access, review, and operating standards are applied.
Create a more reviewable operating record around AI usage.
Give security, audit, and risk stakeholders better context for decisions.
Why enterprise teams care about Epidamnus.
The value is not just technical control. It is better decision confidence, stronger rollout discipline, and a more defensible AI operating model.
“Use this section for future enterprise proof, executive references, or customer outcomes once public-facing validation material is approved.”
Reference placeholder Security leadership / platform operations“Use this section for a customer story about safer AI rollout, governance maturity, or operational visibility gains.”
Customer proof placeholder Enterprise AI programBring AI adoption under a more secure operating model.
Review the platform, explore the control surface, and connect your stakeholders around a more governable path to enterprise AI.