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    AI Agent Corporate Data Secret Exfiltration Firewall

    1

    Defensive security analyst for detecting secrets, classifying data, and identifying AI agent exfiltration risks.

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    AI Agent Corporate Data Secret Exfiltration Firewall

    AI Agent Corporate Data Secret Exfiltration Firewall

    Example session with this skill installed

    Review these sanitized agent logs for potential secret exposure and unapproved data flow to an external domain. [LOG_DATA: user_id: 882, dest: pastebin.com, bytes: 45200, content_preview: 'auth_key: sk-proj-a1b2...']

    • Read your context and instructions
    • Compiled the ai agent corporate

    I have completed the defensive analysis of the provided agent logs. The assessment identified a critical secret exposure and a high-risk data transfer to an unapproved destination.

    Security Analysis Report

    Executive Summary

    The analysis detected an active exfiltration event where a RESTRICTED credential was transmitted to a public storage site. The volume of data moved exceeds standard agent operational norms.

    Findings Table

    IDSeverityConfidenceAsset/IdentityEvidenceImpactRecommended Action
    SEC-01CRITICALHighUser-882 / Agent-AlphaRedacted key sk-proj-*** sent to pastebin.comExposure of platform credentialsRevoke key; Block domain
    EXF-01HIGHHighUser-88245.2KB transfer to unapproved destinationPotential loss of intellectual propertyQUARANTINE_RECOMMENDED

    Risk Assessment

    • Data Classification: The content preview contains strings matching the RESTRICTED class (API credentials).

    Exfiltration Indicators: The destination pastebin.com is not on the approved business allowlist. The transfer volume is anomalous for a single authentication request.

    Agent Controls: The agent appears to have unrestricted network permissions, allowing outbound calls to non-API endpoints.

    Policy Recommendation: BLOCK_RECOMMENDED

    The transfer shows clear indicators of credential exfiltration. Immediate isolation of the agent identity is required to prevent further data loss.

    Next steps

    1. Rotate the exposed API credential sk-proj-*** immediately across all production environments.
    2. Update the agent tool manifest to restrict outbound network access to a specific allowlist of domains.
    3. Verify if additional logs exist for User-882 to determine the full scope of the transfer.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Corporate environments are increasingly vulnerable to data leaks and secret exposure through unmonitored AI agent workflows and logs. This skill serves as a defensive analyst to identify sensitive information, detect leaked credentials, and evaluate risky outbound data flows before they become breaches.

    What it does

    • Data classification tags information as Public, Internal, Confidential, or Restricted based on business impact.
    • Secret detection identifies API keys, bearer tokens, and private keys while ensuring all values are redacted in reports.
    • Exfiltration analysis correlates unusual transfer volumes, unapproved destinations, and suspicious agent tool permissions.
    • Permission auditing reviews AI agent manifests to find excessive shell, network, or file system access.
    • Policy recommendation generates evidence-based decisions like Allow, Monitor, or Block for security teams.

    How it works

    1. Establish scope by defining the systems, authorized data sources, and assessment period.
    2. Ingest logs such as sanitized proxy, SaaS, identity, or agent audit logs for inspection.
    3. Analyze indicators to correlate timestamps and identities against data sensitivity levels.
    4. Generate findings using a standardized auditable format including severity, confidence, and evidence.

    Frameworks & tools

    Works with sanitized application logs, proxy data, AI agent tool manifests (JSON/YAML), and output from secret scanners. Compatible with enterprise SIEM and DLP workflows.

    Why this beats prompting it yourself

    Generic prompts often echo full secrets back to the user or fail to distinguish between raw evidence and inference. This skill follows strict redaction rules and uses a structured severity framework to provide audit-ready security reports.

    Use cases

    • Audit AI agent tool permissions for least-privilege violations.
    • Review sanitized proxy logs for data movement to unapproved domains.
    • Scan configuration files for masked credential patterns and API keys.
    • Create containment plans for suspected unauthorized outbound transfers.

    Known limitations

    Does not perform live traffic inspection, credential validation, or automated remediation. Requires humans to redact production secrets before submission.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Security.

    Does not perform live traffic inspection or automated remediation. Users must manually redact production secrets before submission. Tool does not independently access private systems.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Trust & safety

    Security scan

    Security scan passed 3 days ago

    Software
    Python

    Permissions

    Terminal / Shell
    Read Files
    Write Files
    Network Access
    Listed3 days ago

    What's inside

    Frequently Asked Questions

    This skill acts as a specialized security analyst that identifies sensitive data, detects hardcoded secrets, and evaluates whether your AI agent workflows are exhibiting behaviors typical of unauthorized data exfiltration. It solves the problem of "black box" agent logs by providing structured, auditable reports on potential security breaches.

    The skill is agent-agnostic and works with any system capable of producing JSON or YAML tool manifests and sanitized audit logs. It is designed to integrate seamlessly into existing Enterprise SIEM and DLP workflows by providing standardized security findings.

    For security and privacy, this skill does not perform live traffic interception; instead, it analyzes exported logs and manifests to provide a defensive layer without needing direct network access. You must provide sanitized data, as the skill focuses on identifying patterns and risks rather than live credential validation.

    You receive the specialized defensive security analyst skill, a set of standardized reporting templates for audit-ready findings, and a guide on how to format your logs for the most accurate analysis. The purchase also includes access to any logic refinements and vulnerability pattern updates for the duration of your subscription.

    Unlike generic prompts that might accidentally expose the very secrets you are trying to protect, this skill is built with strict redaction rules and a structured severity framework. It ensures that findings are presented as evidence-based risks rather than just echoing raw, sensitive data back to the user.

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