PAM 
Non-Human Identities (NHIs) are identities used by machines, applications and automated processes. They rely on credentials — such as API keys, tokens, or certificates — to
5 min read
Published on November 06, 2025
KeeperAITM is an agentic, AI-powered engine embedded within KeeperPAM® that delivers real-time threat detection and response, as well as privileged session analysis. Built for Privileged Access Management (PAM), KeeperAI monitors user activity, providing behavioral insights and automated incident response in both live SSH sessions and post-session playback. KeeperAI is a security-focused product capability that leverages Large Language Models (LLMs) in a zero-trust, zero-knowledge architecture, ensuring sensitive data remains private and encrypted. With support for Remote Desktop Protocol (RDP), databases and Remote Browser Isolation (RBI) coming soon, KeeperAI helps security teams detect and respond to threats in record time.
Continue reading to learn more about how KeeperAI works, its main features and how it can enhance your organization’s security.
How KeeperAI works
KeeperAI starts protecting data at the session level, evaluating commands as they’re entered. During a privileged session, KeeperAI continuously captures and analyzes data such as command executions, ensuring immediate detection and response to suspicious behavior and potential threats.
At the core of KeeperAI is its seamless integration with LLMs, which are used to detect behavioral anomalies, classify commands by risk level and produce summaries of session activity. Commands are automatically categorized into severity levels — Critical, High, Medium or Low — based on contextual analysis and custom rule sets. When unusual behavior is detected, KeeperAI can be configured to automatically terminate a privileged session the moment a command is flagged as Critical or High risk.
In post-session reviews, KeeperAI analyzes each recorded session and generates an encrypted report of user behavior, including contextually relevant commands and actions. These summaries enable security teams to better understand what occurred during a session without having to manually sift through logs.
Key features of KeeperAI
Here are some of KeeperAI’s most powerful features that help organizations improve their security posture:
- Real-time session analysis: Monitor privileged SSH sessions in real time, with upcoming support for RDP, databases, Virtual Network Computing (VNC) and RBI.
- Threat classification: Each command is analyzed and categorized into Critical, High, Medium or Low risk levels based on context and behavior using LLMs.
- Custom rule sets and pattern matching: Define which behaviors or actions should be monitored or blocked using custom keyword matching or regex-based filters.
- Automated threat response: Configure KeeperAI to automatically terminate sessions when Critical or High risk activity levels are detected.
- Session search: Search across privileged sessions to locate specific keywords or activities for faster investigation and compliance reporting.
- ARAM integration: Seamlessly integrate with Keeper’s Advanced Reporting & Alerts Module (ARAM) for real-time alerts and Security Information and Event Management (SIEM) compatibility.
- AI-generated summaries: Encrypted, AI-generated reports include a detailed command timeline of suspicious behavior to help teams audit and investigate security incidents.
Benefits of KeeperAI for organizations
KeeperAI delivers AI-powered capabilities made to enhance privileged access security and streamline threat detection.
Here are the main benefits of KeeperAI, which address many of the unique challenges enterprises face.
Purpose-built for PAM
KeeperAI is directly integrated into KeeperPAM, delivering contextual threat analysis with minimal overhead. Unlike generic AI engines, KeeperAI is optimized for privileged access, ensuring security teams receive precise insights relevant to their high-risk environments.
Sovereign AI design
KeeperAI supports a sovereign AI design, giving organizations full control over their data and AI infrastructure. Organizations can deploy KeeperAI on-premises or through the cloud, using any LLM that supports OpenAI-compatible APIs, including OpenAI, Azure OpenAI, Google Vertex AI or Anthropic. This provides teams with the flexibility to select the AI provider that best suits their compliance and data protection needs.
Private deployment options
KeeperAI is an ideal choice for organizations operating in heavily regulated industries, air-gapped environments or those with distributed edge computing infrastructure. Sessions are never transmitted beyond the organization’s infrastructure, and all data is encrypted using the customer’s private key.
Zero-knowledge processing
All AI processing occurs locally in the Keeper Gateway, never in the cloud. Session data flows directly from the Keeper Gateway to your configured LLM provider, and the results are returned encrypted, ensuring that no sensitive data ever reaches Keeper’s infrastructure. KeeperAI’s zero-knowledge architecture ensures session analysis is conducted without revealing sensitive data — not even to Keeper. Only encrypted summaries and metadata are used for auditing.
No human review delays
Traditionally, session reviews have required IT teams to comb through hours of logs or session recordings to parse relevant information. With KeeperAI, AI-generated summaries and video playback are instantly available for review, so security teams can see what happened with clear explanations of any risk classifications.
Faster incident response
By analyzing activity in real time and automating session termination, KeeperAI enables organizations to automatically respond to incidents as soon as they occur. This significantly reduces the exposure window, stopping threat actors from escalating privileges or stealing data during a session.
Fewer false positives
KeeperAI applies advanced LLM reasoning to understand not only what a command is but also why it may introduce security risks within a session. It significantly reduces false positives, helping security teams focus on real threats and prevent alert fatigue.
Monitor privileged sessions with KeeperAI
KeeperAI brings intelligent, real-time threat detection to the top of your organization’s security strategy, providing automated monitoring and risk classification. Built into KeeperPAM, this agentic design enables autonomous threat response, including automated session termination, without requiring manual intervention. This enables security teams to respond faster, reduce manual workloads and protect sensitive data with a zero-knowledge architecture.
Start your free trial of KeeperPAM today to enhance your PAM strategy with built-in, AI-powered threat detection.
Frequently asked questions
Can I use my own LLM model with KeeperAI?
Yes, KeeperAI is compatible with any LLM that implements the OpenAI-compliant /chat/completions API. That means you can bring your own self-hosted LLM or integrate with providers like OpenAI, Google Vertex AI or Anthropic. Additionally, you can deploy a custom model that supports the same API structure. This integration is ideal for organizations with custom compliance, cost or performance requirements, and it supports air-gapped and cloud-based environments.
How does KeeperAI protect sensitive data?
KeeperAI is built on a zero-trust, zero-knowledge architecture to ensure that session data never leaves an organization’s environment. With Keeper Gateway version 1.7.0, all session recordings and AI-generated reports are encrypted using the customer’s private key and can be decrypted only by authorized users who have the appropriate key. A future release of KeeperAI will support Personally Identifiable Information (PII) detection, allowing you to redact PII before data is sent to the LLM for analysis. This gives organizations more control over data privacy, especially in industries with strict compliance requirements.
Does KeeperAI work in real time?
Yes, KeeperAI performs real-time analysis of privileged sessions, evaluating each command as it’s entered. KeeperAI detects suspicious behavior as it occurs, enabling instant threat response like automated session termination based on risk level. Once a session is complete, KeeperAI saves an encrypted recording and an AI-generated summary of the session for review.
