The launch of Axonius for Healthcare marks the first major product expansion from the company’s acquisition of Cynerio.
As organizations deal with a large volume of security alerts and limited resources to address them, cybersecurity teams are looking for ways to leverage AI but lack confidence in its ability to provide accurate data in context. Now, Axonius has announced the introduction of Axonius AI and platform enhancements to Axonius Asset Cloud, as well as the launch of Axonius for Healthcare. These advancements are designed to help move the industry from identifying problems to proactively resolving them, according to a release from the company.
“Today’s launch addresses what has become cybersecurity’s critical bottleneck: the actionability gap between identifying threats and neutralizing them,” says Dean Sysman, co-founder and CEO of Axonius, in a release. “Unlike generic AI assistants that advise, Axonius AI is an operational engine grounded in a verifiable foundation of truth—the single, authoritative view of every asset provided by the Axonius platform.”
Closing the Actionability Gap
For many organizations, a disconnect between cybersecurity confidence and the reality of “dirty data” is leaving them exposed. While 90% of cybersecurity leaders say their organization is prepared to take immediate action on a vulnerability, only a quarter of them (25%) trust all the data in their own security tools.
The result: Despite feeling prepared, 4 in 5 organizations (81%) take more than 24 hours to remediate a critical vulnerability or (80%) exposure, giving attackers a wide-open window to exploit security weaknesses. This is compounded by key operational challenges, including difficulty with prioritization and risk assessment (29%), and a lack of integration between security tools (27%).
“For us, the game-changer was moving from disjointed, manual work to connected, automated workflows,” says Matt Durant, senior director of cybersecurity and risk management at BlueLinx, a building products distributor. “Axonius didn’t just solve one problem; it gave us comprehensive visibility across our exposures and software, and crucially, the automation to act on it. It allows our team to stop guessing and start acting with confidence, which is why the platform has become a core, indispensable part of how we run security.”
Axonius AI
Axonius AI is built upon the Axonius Asset Cloud, a data foundation for every asset in an environment. Axonius AI uses the Axonius Asset Intelligence as the context, giving it the understanding of every asset to take automated action.
Features include:
- Automating Complex Analysis: A new natural language engine allows operators to ask complex questions like, “Show me all internet-facing servers in Germany with unpatched Log4j that are not running our endpoint agent,” and receive immediate, actionable answers.
- Powering Intelligent Prioritization: An AI-driven risk engine correlates asset criticality, business context, security control gaps, vulnerability data, and threat intelligence to surface the most significant risks, allowing teams to focus on what matters most and cut through alert fatigue.
- Orchestrating Trusted Remediation: The platform can trigger multi-step workflows based on AI-driven insights – from deploying a missing security agent to creating a remediation ticket and verifying patch completion – all with auditable, human-in-the-loop governance.
“Unifying asset intelligence across devices, identity, software, SaaS, and infrastructure has become a strategic imperative for modern exposure management,” says Aqsa Taylor, chief research officer at Software Analyst Cyber Research, in a release. “Axonius stands out for its ability to aggregate and correlate asset data across diverse sources, enabling organizations to prioritize and mobilize action more effectively.”
Key new capabilities include:
- Inventory Classification: Automatically categorizes all aggregated assets, such as servers, workstations, IoT devices, and cloud instances, to provide immediate operational context and enable policy enforcement based on asset type.
- Business Unit and Owner Identification: Enriches assets with crucial business context by automatically identifying and mapping the business unit and owner. This streamlines accountability and ensures that remediation actions are routed to the correct teams instantly.
- Non-Human Identity Classification: Discovers and classifies service accounts, API keys, machine identities, and other non-human identities, a critical and often-overlooked part of the attack surface, providing a more complete view of potential exposure.
Healthcare: The Proving Ground for Cyber-Physical Security
The launch of Axonius for Healthcare marks the first major product expansion from the company’s acquisition of Cynerio and demonstrates the platform’s capability. Axonius for Healthcare extends the platform’s asset intelligence and automated response capabilities to:
- Complete Medical Device Visibility: Automatically discover and classify every connected medical, IoT, and OT device with enriched data on maintenance status, utilization, and vulnerabilities.
- Unified Policy and Exposure Management: Apply consistent, policy-based governance across IT, IoT, and medical devices, using automated workflows to detect and remediate exposure risks while maintaining compliance and operational continuity.
- Precision Response: Enable critical response actions, such as isolating a compromised device from the network, while working with clinical teams to ensure patient care is never disrupted.
New Axonius Asset Cloud features and Axonius for Healthcare are generally available today. Axonius AI and an expanded feature set for Axonius for Healthcare are available to early access customers today and expected to be generally available in the first half of 2026.
Photo caption: Axonius for Healthcare
Photo credit: Axonius
