'data leak' 검색 결과

Audit Python SDK logs, exceptions, and telemetry for sensitive data exposure. Trace values to their sources, fix confirmed leaks, and test that redaction hides sensitive information while preserving the caller's expected behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Audit logs and exceptions for sensitive data exposure
• Fix leaks involving model or tool data
• Test redaction and caller behavior

Test whether an AI agent reveals sensitive information through progressively stronger dialogue prompts. Check API keys, personal data, system instructions, and internal settings, then report findings only when sensitive content is actually accessible.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check for API key and credential leaks
• Test exposure of system instructions
• Inspect personal data and internal settings

Assess what exposed credentials can access in AWS, GCP, and Azure. Map permissions, test paths to higher privileges, and document demonstrated impact using benign test objects within an explicitly authorized assessment scope.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assessing the impact of exposed cloud credentials
• Reviewing paths to higher cloud privileges
• Checking storage access with benign test objects

Audit JS SDK logs, exceptions, and telemetry for exposed model or tool inputs and outputs. It traces values to logging destinations, verifies suppression settings, fixes demonstrated leaks, and adds regression tests while preserving permitted operational diagnostics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Auditing logs for model and tool payload exposure
• Checking that data-suppression flags work
• Fixing demonstrated leaks through error logging

Think and work like an expert Data Scientist. Use when a task calls for Data Scientist judgment. Reasons from CRISP-DM business estimands, leakage-safe sklearn Pipelines and nested CV, SQL/warehouse semantic metrics, A/B power and SRM/AA guardrails, causal DAG covariate discipline, and Model Cards/Datasheets while treating train-test leakage, Simpson's paradox, peeking, and PSI>0.25 drift as first-class failure modes.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extract sensitive training data (PII, API keys, intellectual property, or code) directly from a deployed Large Language Model (LLM). This AI Red Teaming skill focuses on forcing models to regurgitate memorized, unredacted data from their massive internet-scraped datasets through repetition attacks, prefix continuation, and context window manipulation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Execute sophisticated Data Extraction and Privacy Leakage attacks explicitly against Large Language Models (LLMs) to natively force the neural network entirely into organically regurgitating exact, verbatim strings of Highly Confidential Personally Identifiable Information (PII), proprietary source code, or copyrighted material categorically memorized intrinsically during its foundational pre-training phase.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Monitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence on group tactics, and assess sector-specific ransomware risk for proactive defense.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Monitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence on group tactics, and assess sector-specific ransomware risk for proactive defense.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Add interactive features to published Artifact pages using supported runtime capabilities, features granted by the viewer environment. Build saved checklists, shared data views, connector integrations, Claude-powered interactions, and file uploads or downloads with permission-aware behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build polls and checklists that save changes
• Create task boards with shared data
• Display connected data on an Artifact page

Design evaluation tasks that check whether agents actually complete work. Define requests, simulated user behavior, starting conditions, and verifiable success criteria, then plan difficulty levels, training-data leakage checks, and ongoing maintenance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating evaluation tasks for real business workflows
• Reviewing success criteria and verification logic
• Designing checks for evaluation data leakage into training

Build and evaluate time-to-event models with scikit-survival, including records whose events remain unobserved when follow-up ends. Keep preprocessing separate from evaluation data, compare models, predict survival probabilities, and summarize censoring-aware metrics.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Validate event indicators and follow-up times in local CSV data
• Train survival models without leaking evaluation data
• Evaluate survival probabilities with censoring-aware metrics

Build molecular property prediction workflows with DeepChem for solubility, toxicity, and related chemistry tasks. Prepare molecular representations, choose compatible models, handle missing labels, and evaluate predictions using data splits designed for the intended scientific question.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Predicting solubility from molecular structures
• Comparing graph models on MoleculeNet datasets
• Checking data splits for information leakage

Design layered protections for AI agents against malicious instructions, tool misuse, and data leakage. Provides guidance and code examples for input checks, isolated tool execution, permission limits, and audit logging to help review and strengthen agent security.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review defenses against malicious instructions
• Isolate tool execution and restrict permissions
• Assess data leakage risks between tenants

Analyze Zeek DNS logs for possible data theft hidden in domain queries. The skill examines unusual character patterns, long labels, distinct subdomains, and query volume, then ranks suspicious domains and produces a JSON evidence report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected DNS tunneling
• Finding possible data leaks hidden in DNS queries
• Ranking suspicious domains and identifying source IPs

Investigate slow Node.js, Python, and Go applications by measuring CPU use, memory, database queries, and data transfer. Identify bottlenecks, inspect frontend bundle sizes, run load tests, and compare measurements before and after changes to verify improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow API responses
• Tracking memory growth and suspected leaks
• Analyzing bundle growth after adding dependencies

Audit and fix four access-control problems in Convex apps: impersonation, missing ownership checks, sensitive data exposure, and writes into another user's container. Check the authentication foundation first, then verify changes with TypeScript.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether callers can impersonate another user
• Restrict document access to its owner
• Review queries that expose sensitive data

Assess AWS, Azure, and GCP environments by identifying identities, permissions, and paths to broader access or data exposure. Covers cloud storage, secrets, cross-account trust, and CI/CD, the automated systems used to build and deploy software.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning an AWS, Azure, or GCP security assessment
• Tracing privilege escalation from current permissions
• Reviewing CI/CD credentials and OIDC trust settings

Tests communication between collaborating AI agents for private data exposure, impersonation, unsafe message channels, and unauthorized access to privileged tools. It records confirmed problems with conversation evidence, potential impact, and suggested security measures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking for private data leaks between agents
• Testing agent impersonation and message boundary bypasses
• Reviewing message encryption and shared log exposure

Investigate Next.js security issues across Server Actions, middleware, image optimization, and cached pages. Provides testing workflows for authentication bypass and data exposure, with checks to distinguish actual vulnerabilities from normal responses.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking authentication in Server Actions and middleware
• Testing image optimization for unintended server requests
• Inspecting page data for sensitive information

Investigate cloud configuration weaknesses across AWS, GCP, and Azure, including public storage, exposed services, and leaked credentials. Find candidates in public information and JavaScript, then verify data access and permissions to establish practical impact.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking public access to S3, GCS, and Azure Blob storage
• Reviewing exposed serverless and managed services
• Assessing CloudWatch RUM guest role permissions

Assess the storage and retrieval layers of RAG systems, which search documents to support AI answers. Test persistent document poisoning, cross-tenant access, source-text leaks, and manipulated search rankings using independently verifiable evidence.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing shared knowledge bases and document chatbots
• Testing access isolation between accounts or organizations
• Checking source text and metadata in search results

Assess AI agents and MCP tools for malicious instructions, tool misuse, permission violations, and data leaks. The skill organizes checks across applications, identity, data, deployment, and models, with references for each risk area.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review prompt injection risks in AI applications
• Check MCP tool misuse and trust boundaries
• Assess agent permissions and credential misuse

Helps plan dataset splits for machine learning training, validation, and testing. Specifies ratios, random seeds, class balance rules, and time or group constraints, with guidance for handing the split to leakage review and model training.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning training, validation, and test partitions
• Preserving class proportions across dataset splits
• Defining time-based or grouped split constraints