Epic AI vs Agent Security Suite

Detailed side-by-side comparison to help you choose the right tool

Epic AI

Business AI Solutions

AI capabilities integrated throughout Epic's healthcare software platform, featuring AI charting, generative AI for EHR, and agentic AI to reduce documentation time and improve patient care workflows.

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Starting Price

Custom enterprise pricing

Agent Security Suite

🟒No Code

Business AI Solutions

Enterprise-grade security platforms that protect, monitor, and govern AI agents across their full lifecycle β€” from development through production deployment β€” with unified observability, threat detection, and compliance controls.

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Starting Price

Custom quote β€” typically $10,000–$30,000/year for small environments

Feature Comparison

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FeatureEpic AIAgent Security Suite
CategoryBusiness AI SolutionsBusiness AI Solutions
Pricing Plans2 listed plans3 listed plans
Starting PriceCustom enterprise pricingCustom quote β€” typically $10,000–$30,000/year for small environments
Key Features
  • β€’ AI Charting: Epic's AI Charting reduces time spent on clinical documentation, administrative tasks, and chart navigation. It generates draft progress notes from encounter data, suggests relevant chart sections, and automates repetitive documentation patterns. Clinicians review and approve AI-generated content, retaining full control while saving significant time per encounter. This feature directly targets the documentation burden widely cited as a leading contributor to physician burnout.
  • β€’ Agentic AI for Pre-Visit Workflows: Announced at HIMSS25, Epic's agentic AI deploys autonomous agents that handle multi-step administrative tasks before a patient visit occurs. These agents can verify insurance, gather relevant medical history, prepare visit agendas, and coordinate across departments. The goal is to ensure that by the time a clinician enters the exam room, the administrative groundwork is already complete, making the visit more focused and productive for both parties.
  • β€’ HIPAA-Compliant Generative AI Pipeline: Epic's generative AI pipeline integrates large language models like GPT-4 into the EHR while maintaining strict HIPAA compliance. The pipeline handles patient data routing, de-identification where required, and secure model inference. This infrastructure enables features like AI-drafted patient message responses, note summarization, and coding assistance without exposing protected health information to unauthorized systems or violating regulatory requirements.
  • β€’ AI agent discovery and inventory management
  • β€’ Runtime behavior monitoring and threat detection
  • β€’ Prompt injection and manipulation defense

Epic AI - Pros & Cons

Pros

  • βœ“Deeply integrated into the Epic EHR workflow, eliminating the need for separate AI tools or context switching during clinical encounters
  • βœ“HIPAA-compliant AI pipeline with enterprise-grade security and privacy controls built for healthcare-specific regulatory requirements
  • βœ“Access to Cosmos, one of the largest de-identified clinical datasets globally, enabling AI models trained on real-world healthcare data at massive scale
  • βœ“Open-source AI validation framework allows health systems to independently verify and benchmark AI model performance before clinical deployment
  • βœ“Broad scope of AI applications spanning clinical documentation, patient communication, medical coding, operational workflows, and agentic pre-visit automation
  • βœ“Backed by Epic's installed base covering over 50% of U.S. hospital beds, ensuring rapid iteration informed by diverse real-world usage

Cons

  • βœ—Only available to existing Epic customersβ€”organizations on competing EHR platforms like Cerner (Oracle Health) or MEDITECH cannot use Epic AI independently
  • βœ—Pricing is opaque and negotiated per enterprise contract with no published rate cards; total EHR platform costs typically range from $50M–$500M+ depending on system size, making cost comparison or budgeting difficult without direct engagement with Epic sales
  • βœ—Heavy dependency on Epic's proprietary ecosystem creates vendor lock-in; AI features cannot be decoupled or used with other EHR systems
  • βœ—Implementation and customization require coordination with Epic representatives, which can be slow and resource-intensive for health systems
  • βœ—Clinician trust and adoption variesβ€”AI-generated notes and responses still require human review, and some providers report alert fatigue or skepticism toward AI outputs

Agent Security Suite - Pros & Cons

Pros

  • βœ“Broad cross-platform coverage spanning Microsoft Copilot, Salesforce Agentforce, ServiceNow, ChatGPT Enterprise, Google Vertex AI, and Amazon Bedrock in a single control plane
  • βœ“Three-layered architecture (Observability, AI-SPM, AIDR) maps cleanly to established security disciplines like CSPM and EDR, shortening the learning curve for existing SecOps teams
  • βœ“Active original research program through Zenity Labs, with named vulnerability disclosures like AgentFlayer and PleaseFix that feed detections back into the product
  • βœ“Detects shadow AI and citizen-developed agents in low-code environments like Power Platform, which most general-purpose security tools miss entirely
  • βœ“Industry-specific framing for financial services, government, and healthcare with compliance-oriented controls suited to regulated deployments
  • βœ“Runtime threat detection goes beyond static posture scanning to catch prompt injection, data exfiltration, and anomalous agent behavior in production

Cons

  • βœ—Enterprise-only pricing with no published tiers, free trial, or self-serve option β€” unsuitable for small teams or early-stage experimentation
  • βœ—Value depends on the breadth of agent platforms you actually run; single-platform shops may find narrower native tooling cheaper
  • βœ—Agentic AI security is a young category, so detection coverage and false-positive rates are still maturing across the industry, Zenity included
  • βœ—Requires meaningful integration work and permissioned connections to each agent platform, which can be slow in change-controlled enterprises
  • βœ—Overlaps with features now appearing natively in Microsoft Purview, Salesforce Shield, and hyperscaler AI guardrails, forcing buyers to justify a dedicated layer

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