Developers, teams, and entire organizations are deploying AI tools faster than security teams can see them. Spektion provides continuous runtime visibility into every AI agent, coding assistant, inference server, and AI-generated executable operating across your environment.
Endpoints running unsanctioned AI tools
Observed in early Spektion deployments.
Time-to-exploit
Runtime discovery baseline across early deployments.
Time-to-exploit
From agent install to live findings. No reboot required.
Runtime monitoring across endpoints
24/7 observation. No scan windows, no gaps.
Employees are deploying AI tools across endpoints. These workloads behave like any other software process—executing code, accessing credentials, making network requests, and running with elevated privileges.
But most security tools were never designed to understand them.
These risks exist whether a policy allows them or not.
You can't govern what you can't see.
Five capabilities delivered by the same lightweight agent. No additional deployment required.
Spektion continuously discovers and classifies every AI tool, agent, inference server, and model runtime across workstations, servers, and containers—giving security teams a live, always-current view of what's actually running.
Spektion identifies unauthorized coding assistants—Cursor, Copilot, Claude Code—accessing source code repositories and executing commands, distinguishing sanctioned tools from shadow ones against organizational policy.
Spektion detects plaintext API keys and tokens embedded in AI and MCP server configuration files before they become a breach, and tracks them through to remediation.
Spektion discovers every Model Context Protocol server exposing tools, data, and credentials to AI agents, and inventories multi-agent frameworks executing code and making network requests without human oversight.
Spektion analyzes execution context to flag AI workloads running with excessive privileges, inference servers exposed on open network interfaces, and AI-generated executables with no CVE or signature — scoring risk based on real runtime state.
Four steps. One agent. No reboot required.
Install a lightweight agent across endpoints and servers. Deployment takes under five minutes per endpoint. No reboot required. Supports Intune, SCCM, Ansible, JAMF, Tanium, and CrowdStrike RTR.
Spektion identifies every AI agent, inference server, and coding assistant operating across the environment — including tools you didn't know were installed.
Runtime analysis detects credential exposure, privilege misuse, exposed inference servers, and unauthorized AI tools—scored by actual risk, not guesswork.
Security teams receive risk-scored findings and specific recommended remediation actions to satisfy your organizational AI security baseline.
If you're in a bake-off or building the business case, these are the answers you'll need.
Spektion observes runtime behavior continuously—it doesn't wait for a scan trigger. When a zero-day is disclosed, query Spektion to find exactly which endpoints are running the affected software, whether it's actively executing, what privileges it has, and how exposed it is. Your existing Spektion telemetry has the answer—no new collection cycle needed.Most security tools analyze signatures, logs, or known vulnerabilities. AI workloads are legitimate processes that introduce risk through runtime behavior rather than known exploits. Your EDR sees them as normal activity. Your scanner finds no CVE. Spektion detects them and evaluates the risk they create in your environment.
Shadow AI refers to AI tools deployed without security approval or governance — Cursor installed by a developer, an Ollama inference server spun up on a workstation, an autonomous agent a team built internally. These tools may be entirely legitimate in purpose but create real exposure when they access credentials, run with elevated privileges, or reach the network without oversight.
CASB tools monitor SaaS-layer traffic — what data flows through AI services at the network edge. Spektion observes AI workloads executing directly on endpoints and servers — what processes are running, with what privileges, accessing what resources. These are complementary problems. Spektion solves what CASB tools structurally cannot see.
Yes. Spektion detects AI workloads through runtime behavior rather than tool signatures or databases of known tools. If a custom agent is executing on an endpoint — calling APIs, loading models, generating code — Spektion observes it and evaluates the risk it creates.
No. The same lightweight agent that discovers and governs AI workloads also handles CVE exploitability assessment and non-CVE weakness detection. Most customers fund Spektion from their VM/endpoint security budget, their AI security initiative budget, or both. One agent, one platform, two problems solved.
A typical trial runs three weeks across 100–500 endpoints. Week 1: Deploy, access first runtime data within minutes, see your full AI workload inventory — tools, agents, MCP servers, credentials in configs. Week 2: Review findings together and walk through exposure reduction. Week 3: Validate results and build the business case with real data from your real environment.