Axonius, the asset intelligence platform for unified security operations and exposure management, today announced Axonius AI Workforce, latest expansion of Axonius AI. AI Workforce enables organizations to deploy team of Virtual Workers that monitor environment, identify high-risk exposures and assets that do not match expected state, carry out remediation, and report progress toward goal.
Security and IT teams have more data than ever, but scattered across dozens of tools never designed to share. Constraint no longer volume but ability to ask questions across all of it, trust answer, and take right action. Most automation runs on schedule: job triggers overnight, checks condition defined months earlier, opens ticket. Holds up until environment changes in way nobody anticipated. Everything else still lands on people, such as manually connecting internet-facing critical asset to compromised identity.
Axonius AI Workforce takes on standing work never gets done because security and IT teams don't have time. Every Virtual Worker acts on decision-grade data in Axonius Asset Cloud, not on one tool's view of asset or standalone vulnerability finding. Actions warranting intervention go through structured approval checkpoint.
The AI Workforce includes: Outcome ownership each Virtual Worker owns security outcome and tracks over time including Threat Intelligence, Shadow AI, Data Completeness, Post-Quantum Cryptography Readiness, Exposures Triage. HITL controls sensitive actions including outbound communication surface for approval. Modes of autonomy Off always stops for approval, Shadow previews what worker would do, Live applies automatically within guardrails. Cost transparency AI credit usage visible. Trust details every action backed by audit trail to clarify agent vs human-driven. Every customer provisioned with own private LLM instance running entirely within dedicated environment for privacy.
Every vendor is shipping AI agents right now. Question nobody answering is what those agents are acting on. Agent that triggers remediation based on one vendor's incomplete view going to be wrong, and in security that matters. We spent years building platform that captures data from more than 1,400 bi-directional integrations. Workforce is what you can safely build on top.
Axonius AI Workforce: Deploy team of Virtual Workers that own security outcome, monitor environment, carry out remediation. Each owns metric and tracks over time. Daily Digest ranks what's changed and what needs attention.
Axonius AI Companion: Ask questions in plain language like tell me which critical CVEs are on internet-facing assets handling PII, with no proprietary query language. Teams can act on answer in same conversation.
Axonius MCP Server: Feed Axonius asset data into AI tools, agents, and automations organizations already run, so those tools work from trusted asset data instead of stitching answers from disparate tools.
Axonius Asset Cloud is one source of truth for assets and exposures across entire environment, providing context to prioritize risks and coordinate fixes. Reconciled, deduplicated view of entire estate across 80+ asset and exposure entity types. Axonius AI answers from real-world data, and if it can't verify something, says so without guessing.
About Axonius
Axonius is asset intelligence platform for unified security operations and exposure management. Asset Cloud is one source of truth for assets and exposures. Cited as one of fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries.
