As cyberattacks grow faster, more automated, and increasingly fueled by artificial intelligence, many organizations are struggling to defend against modern threats. Privileged accounts—offering access to an enterprise’s most critical systems—remain prime targets, yet traditional tools often fail to catch insider risks and advanced anomalies until after damage is done.

Keeper Security, a global leader in zero-trust and zero-knowledge Privileged Access Management (PAM), today announced the launch of KeeperAI, a new agentic AI capability integrated into the KeeperPAM® platform. The solution brings real-time monitoring, automated threat detection, and instant response to suspicious activity, with customizable controls tailored to an organization’s security environment.

“Cybersecurity is no longer about if an attack will happen, but how quickly an organization can detect and respond,” said Craig Lurey, CTO and Co-founder of Keeper Security. “KeeperAI’s agentic design enables automated monitoring and real-time mitigation—whether that means shutting down high-risk sessions, blocking unauthorized access, or halting improper privilege escalation.”

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Addressing Modern Security Challenges

Insider threats, privilege misuse, and persistent advanced attacks have long been difficult for security teams to manage. In today’s landscape of AI-driven cyberattacks, manual reviews and rule-based alerts leave enterprises lagging. KeeperAI overcomes these limitations by delivering continuous privileged session monitoring, automatic threat classification, and configurable responses that can instantly terminate or alert on malicious behavior—removing the need for constant human oversight.

As a sovereign AI product, KeeperAI ensures each organization maintains complete ownership and control over the data it processes and generates.

Key Capabilities of KeeperAI

  • Automated Session Analysis – Monitors metadata, keystroke activity, and command execution logs to identify abnormal behaviors.
  • Threat Classification – Categorizes anomalies and assigns a defined risk level.
  • Automatic Session Termination – Ends sessions flagged under designated risk categories.
  • Customizable Policies – Enables organizations to configure risk parameters and detection thresholds for their unique environment.
  • Advanced Search – Provides keyword and activity-based session search.
  • Flexible Deployment – Supports third-party, cloud-based, and on-premises LLM inference without vendor lock-in.

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KeeperAI classifies command activity into Critical, High, Medium, or Low risk levels. Security teams can set policies that either automatically terminate dangerous sessions or continue monitoring them. The solution also integrates seamlessly with leading LLM providers, including AWS Bedrock, Anthropic, Google Gemini, and OpenAI, offering cloud and on-premises deployment flexibility.

“Security teams shouldn’t be bogged down by endless log reviews or delayed responses,” said Jeremy London, Director of Engineering, AI and Threat Analytics at Keeper Security. “KeeperAI was built to act in real time—terminating high-risk sessions and enforcing policies without human intervention. By doing so, it eliminates alert fatigue and reduces response times from hours to seconds.”

Built for Enterprise Use

At launch, KeeperAI supports SSH-based sessions, with upcoming expansion to RDP, VNC, RBI, and database protocols. Risk assessments and incident data are automatically integrated into the Keeper Vault UI, enabling investigation, compliance reporting, and seamless integration with SIEM and SOC tools via Keeper’s Advanced Reporting and Alerts Module (ARAM).

Powered by a zero-knowledge architecture, KeeperAI ensures sensitive data is encrypted and remains under customer control. This combination of AI-driven automation and uncompromising privacy provides organizations with scalable, compliance-ready protection against today’s evolving cyber threats.

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