Detect and protect AI workloads running across your endpoints
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.
More AI workloads than security teams expect
Runtime discovery baseline across early deployments.
Into AI agents, MCP servers, or AI-generated executables in your current stack
VM tools, scanners, and EDR cannot detect these workloads.
Of AI runtime behavior is detected by traditional tools
No traditional tool observes what AI workloads are actually doing on endpoints.
AI workloads are expanding your attack surface
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.
None of your existing tools can see this risk
Where AI introduces real exposure
These risks exist whether a policy allows them or not.
You can't govern what you can't see.


1. Coding assistants accessing proprietary source code
2. Inference servers exposed to the network
3. MCP servers storing credentials in plaintext
4. AI agents executing commands with elevated privileges
5. AI-generated executables with no provenance or review
You can't govern what you can't see
Without Spektion
With Spektion
What runtime reveals about AI risk
Five capabilities delivered by the same lightweight agent. No additional deployment required.
Inventory every AI workload at runtime
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.

Govern coding assistants and shadow AI
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.
Expose credential leakage in AI configurations
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.
Map and secure MCP servers and autonomous agents
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.
Assess exploitability across privilege, exposure, and AI-generated code
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.
"We discovered coding assistants running on dozens of machines we didn't know about. Spektion’s runtime telemetry found them in real time—including several with plaintext API keys.
From shadow AI to continuous observability & governance
Four steps. One agent. No reboot required.
Step 1
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.
Step 2
Spektion identifies every AI agent, inference server, and coding assistant operating across the environment — including tools you didn't know were installed.
Step 3
Runtime analysis detects credential exposure, privilege misuse, exposed inference servers, and unauthorized AI tools—scored by actual risk, not guesswork.
Step 4
Security teams receive risk-scored findings and specific recommended remediation actions to satisfy your organizational AI security baseline.
Frequently asked questions about runtime risk beyond CVEs.
If you're in a bake-off or building the business case, these are the answers you'll need.
Vulnerability scanners detect known CVEs. They cannot detect risky runtime behavior or exploitable conditions that have not been disclosed. Many exploitable conditions never receive a CVE, because they arise from behavioral weaknesses, supply-chain components, or software that changes after deployment. Any tool that starts with CVE data as its input inherits this structural limitation.
Explore third-party software risk →Yes. Many exploitable risks arise from dangerous runtime behavior rather than documented vulnerabilities. Spektion research found that 71% of applications with known exploitable flaws had no CVE assigned. A PDF editor with zero CVEs was observed capturing keystrokes, allocating executable memory with elevated privileges, and creating a remotely accessible named pipe—all mapped to MITRE ATT&CK techniques.
By analyzing runtime activity instead of relying solely on vulnerability disclosures. Spektion observes what software does (system calls, memory operations, network connections, privilege use, file access) and identifies behavioral patterns that indicate exploitability. Spektion identifies exploitable behavior, maps it to CVEs, and integrates with your security.
Runtime exposure management analyzes software behavior during execution to detect exploitable conditions that traditional vulnerability tools cannot see. Rather than matching installed software against a CVE database, Spektion observes what software actually does—revealing risky behavior whether or not it has been disclosed, documented, or assigned a CVE ID. It covers both CVE-based risks and the hidden half: the exploitable conditions that will never receive a CVE.
No. Automated pentesting tools run exploits against your environment to test exploitability, with associated production risk and point-in-time results. Spektion observes runtime context continuously—what's executing, with what privileges, exhibiting what behavioral patterns—without running exploits. Coverage is continuous and extends to risks no exploit database enumerates.
Yes. Spektion sees these tools, even if only created and executed by one user on a single asset, as soon as they execute, continuously monitors behavior, and reports on exploitable weakness in near real-time.