Integrate Lacework (Cloud Security & CNAPP) with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Can my agent run custom threat hunting queries using LQL?

Absolutely. Use the execute_query tool to run specialized Lacework Query Language (LQL) blocks. This allows your agent to perform complex mathematical analysis on cloud telemetry to identify deep security patterns.

Secure your cloud via Lacework — search security alerts, monitor vulnerabilities, and audit cloud asset inventory.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

execute

Execute query on Lacework (Cloud Security & CNAPP)

Produces bespoke output matrices tracking API keys bypassing IAM logic, anomalous login patterns, or Kubernetes process spawn trees. Execute an LQL Threat Hunting Query on-demand

get

Get alert on Lacework (Cloud Security & CNAPP)

Extracts precisely what baseline behavior was deviated from, providing deep contextual metadata such as explicit AWS Accounts involved, offending Container Image SHAs, and correlated external IP anomalies. Get exact behavioral payloads and telemetry for an Alert

list

List container vulnerabilities on Lacework (Cloud Security & CNAPP)

Examines ECR/DockerHub registries or direct cluster deployments for images carrying critical inherited CVEs at the filesystem level before CI/CD promotion blocks. List static image vulnerabilities detected in Container Registries

list

List host vulnerabilities on Lacework (Cloud Security & CNAPP)

Identifies running processes strictly matched against Critical or High CVEs (e.g., Log4j, Polkit) directly active inside EC2 or GCE instances. List known vulnerabilities executing natively on Cloud Hosts/VMs

list

List lql queries on Lacework (Cloud Security & CNAPP)

These extract precise cloud telemetry fields mapping user-defined compliance checks directly against the underlying dataset. List all Lacework Query Language (LQL) structures

list

List resource groups on Lacework (Cloud Security & CNAPP)

Helps define what constitutes "Production" vs "Staging" in Policy evaluation engines. List logical Resource Groups managing Lacework architectures

list

List security policies on Lacework (Cloud Security & CNAPP)

Confirms whether Lacework will alert directly if an engineer violates structural norms (e.g., exposing port 22 directly to 0.0.0.0/0). List all global Cloud Security Policies enforced by Lacework

Search alerts on Lacework (Cloud Security & CNAPP)

Fetches events mapping to anomalous Kubernetes executions, AWS IAM brute-forcing attempts, and massive container network exfiltrations spanning the specified time filter. Search Cloud Security alerts dynamically across Lacework

Search cloud inventory on Lacework (Cloud Security & CNAPP)

Used to dynamically enumerate running instances, active networking perimeters, or unrestricted S3 buckets discovered by cross-account role polling. Query the real-time Lacework Cloud Control-Plane Asset Inventory

Search cve exposure on Lacework (Cloud Security & CNAPP)

Directly filters the entire cloud infrastructure footprint determining exactly which specific nodes (Machines) are currently vulnerable to the designated CVE (e.g. "CVE-2026-0001"). Search all integrated Machines/Instances for a specific CVE

Security & Code Integrity Audit

Every tool in the Lacework (Cloud Security & CNAPP) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I set different limits for each virtual assistant on my team?

Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.

Can my agent run custom threat hunting queries using LQL?

Absolutely. Use the execute_query tool to run specialized Lacework Query Language (LQL) blocks. This allows your agent to perform complex mathematical analysis on cloud telemetry to identify deep security patterns.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

How Chatbots Interact with Lacework (Cloud Security & CNAPP)

Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Lacework (Cloud Security & CNAPP) infrastructure.

Streamlining cnapp

The Lacework (Cloud Security & CNAPP) connection gives ChatGPT direct access to cnapp tools. The integration handles the logic required for continuous fort knox operations.

Cursor Copilot for threat detection

Integrate the Lacework (Cloud Security & CNAPP) server to handle threat detection requests natively. It provides the schemas required for ChatGPT and Cursor to manage fort knox data.