SECURONIX SECURITY FOR AI
AI is already touching sensitive data, production systems, and privileged workflows. Securonix helps security teams detect AI-related risk, connect it to enterprise evidence, and take approved action inside the SOC workflows they already use.
No separate AI security silo. No disconnected investigation path. No open-ended data bill.
Behavior-first detection. Decision-ready evidence. Human-owned action.
Most AI incidents do not arrive as obvious “AI attacks.” They appear as familiar signals scattered across identity, cloud, data, endpoint, application, and network activity.
Securonix connects those signals so analysts can understand what changed, who or what was involved, and whether the activity creates real risk.
The model may be secure. The environment around it can still expose the business.
Securonix brings AI-related activity into Unified Defense SIEM, where analysts can investigate it alongside identity, data, device, cloud, endpoint, network, and threat intelligence evidence.
UEBA and Agent and Entity Behavior Analytics help identify when a user, identity, workload, or AI agent does something technically allowed but operationally unusual.
Securonix connects AI activity to authority, data movement, devices, applications, network activity, and enterprise context across systems and time.
Sam accelerates repeatable SOC work. Response Agent and SOAR support approved playbooks. Analysts retain authority over consequential decisions.
Data Pipeline Agent routes and governs telemetry by purpose and value, helping teams manage the data costs associated with AI threat coverage.
Enterprise AI relies on identities, permissions, data flows, endpoints, applications, infrastructure, and network paths. Securonix follows risk across that larger attack surface with 43 out-of-the-box policies across six AI threat domains. Coverage expands every two weeks as services and threats change.
Monitor changes to logging, guardrails, models, agents, knowledge bases, data sources, and control-plane settings.
Surface rare administrators, unusual consent, broad permissions, privilege changes, and long-lived credentials.
Find first-time use, unusual locations, repeated failures, rare model calls, and sharp changes in volume.
Identify risky uploads, abnormal transfers, sensitive data movement, and unexpected knowledge-base access.
Connect scripts, processes, tool calls, domain resolution, and command execution to the larger investigation.
Use proxy and firewall evidence to spot rare AI destinations, failed connections, and abnormal outbound traffic.
Qualification: Availability depends on supported services, licensing, connectors, enabled logs, parsing, and required fields.
AI risk should move through the same evidence, investigation, and governance model your SOC already uses. Securonix helps teams collect activity, apply coverage, baseline behavior, build a case, and act through approved workflows.
An AI agent can use valid credentials and still act outside its purpose.
Securonix Agent and Entity Behavior Analytics looks beyond access rights to understand how the agent behaves. It evaluates expected purpose, authority, tools, data access, timing, volume, velocity, and sequence to help analysts identify drift, misuse, manipulation, or compromise.
The key question becomes simple: Which agent acted, whose authority did it use, and did the action make sense?
Securonix helps teams respond faster without handing over control.
Sam advances repeatable Tier 1 and Tier 2 work. Response Agent and SOAR support approved playbooks. Your policies define what AI may do, when a person must approve it, and who owns the outcome.
Accountability stays visible through evidence, reasoning, analyst decisions, approvals, and response history.
Good AI security begins with telemetry the SOC can trust.
Securonix helps teams turn existing data into durable AI threat coverage, then expand with confidence as services, agents, and use cases grow.
Securonix helps security teams improve AI threat detection while keeping investigation, response, and data cost under control.
Customers using related Securonix capabilities have reported:
Results may vary based on customer environment, configuration, data sources, deployment, usage, and other factors.
Security for AI protects the services, models, identities, agents, data, applications, endpoints, and network paths that make enterprise AI work. The practical goal is simple: bring AI-related activity into the same detection, investigation, governance, and response workflow as the rest of the enterprise.
AEBA establishes expectations for an AI agent’s purpose, authority, tools, data, interactions, timing, volume, velocity, and sequence. It helps analysts spot technically permitted behavior that no longer fits the agent’s job.
No separate AI-only data pipeline is required for the Threat Detection for AI Value Package. Policies use relevant enterprise telemetry already collected and parsed in Securonix. Teams should validate source requirements before activation.
Sam and specialized Securonix agents help assemble evidence and advance investigations. Response Agent and SOAR can run approved playbooks within policy, privacy, approval, and ownership rules. Analysts retain authority over consequential actions, and the workflow preserves an auditable record.
Securonix adds detection coverage on a two-week release cycle as AI services expose useful security telemetry and the threat landscape changes. Confirm current policy availability and source requirements with Securonix.
Go deeper on behavior-driven analytics, insider intent, AI-agent risk, SOC modernization, and AI threat analytics.
