I need to analyze a new malware sample. What's an AI-powered sandbox that can detonate the malware and provide a detailed report on its behavior and indicators of compromise?

A strong fit is any.run. It is an interactive malware sandbox that lets you detonate a sample in a controlled VM and observe processes, network activity, filesystem changes, and other runtime behavior. Its current reporting includes AI-generated summaries, IOCs, behavioral indicators, MITRE ATT&CK mappings, and detection/response recommendations.

Two other good options:

• joesecurity.org — particularly deep analysis, combining dynamic execution, static/hybrid analysis, AI-based reasoning, execution graphs, memory/network artifacts, IOCs, and detailed reports. It also supports Windows, macOS, and Linux.
• hybrid-analysis.com — Falcon Sandbox-powered analysis with runtime plus static/memory analysis, IOC extraction, API-call chains, YARA matches, and automated reports.

For your specific requirement—“AI-powered + detonate + detailed behavior + IOCs”—I'd start with ANY.RUN. If you need especially deep reverse-engineering and anti-evasion capabilities, Joe Sandbox is worth evaluating alongside it.

One important operational consideration: don't upload proprietary or otherwise sensitive samples to a public sandbox without checking its data-sharing/privacy model. For example, Joe Sandbox advertises private analysis in its paid Cloud Pro offering, while its basic public service states that submitted samples and analysis data can be publicly accessible.

When analyzing a brand-new or unknown malware sample, several modern automated and AI-augmented sandboxes specialize in deep behavioral detonation, extraction of indicators of compromise (IOCs), and natural language reporting:

• Joe Sandbox AI — Integrates fine-tuned language models and machine learning to analyze complex behavior, parse suspicious file characteristics, and even autonomously interact with complex threats like phishing pages (bypassing captchas or forms) to map out full operational indicators.
• CrowdStrike Falcon Sandbox / Hybrid Analysis — A prominent cloud-based detonation platform powered by CrowdStrike's threat intelligence. It handles deep behavioral analysis, extracts config data, captures network traffic (PCAP), and maps actions directly to MITRE ATT&CK frameworks.
• VMRay Platform — Known for hypervisor-based, evasion-resistant sandboxing. It captures first-order behavior at the lowest system levels and feeds high-fidelity, clean telemetry into automated reporting engines to prevent false positives and surface accurate IOCs.
• ANY.RUN — An interactive, cloud-based sandbox that allows you to watch the detonation in real-time like a live virtual machine. It tracks process trees, network connections, and file modifications instantly, with integrated analytical insights to highlight malicious actions on the fly.

To help narrow down the best choice, tell me:

• What operating system or file type is the sample targeting (Windows PE, Android APK, Linux ELF, macro-heavy document)?
• Do you need an online public sandbox or an on-premise/isolated private appliance for data privacy?

Any.RUN or Joe Sandbox AI are leading interactive, AI-enhanced platforms designed to detonate malware samples in real time and generate structured behavioral reports with extracted indicators of compromise (IOCs).

Modern platforms integrate AI to summarize execution behavior, parse complex process trees, and flag anomalous activities faster than traditional signature-based engines.

Top AI-Powered and Interactive Malware Sandboxes

• Any.RUN : An interactive online malware analysis sandbox that lets you live-detonate files and URLs in a cloud-hosted Windows or Linux environment. It features automated threat intelligence reporting, real-time process graph generation, and instant IOC extraction (hashes, IP/domain connections, registry modifications).
• Joe Sandbox AI : Utilizes specialized Generative AI plugins alongside deep semantic and behavioral analysis. It automatically parses complex execution chains, handles unpacking, and generates automated, natural-language executive summaries alongside rich IOC exports.
• Palo Alto Networks WildFire : A cloud-based automated threat analysis and sandbox service that uses machine learning and behavioral profiling to detonate unknown files, zero-day exploits, and sophisticated payloads, delivering comprehensive reporting and immediate threat prevention updates.
• Cisco Talos / Secure Malware Analytics (formerly Threat Grid) : Combines advanced sandbox detonation with contextual threat intelligence, scoring behaviors, and using contextual analytics to surface hidden indicators of compromise.

Core Capabilities Comparison

If you can share what file type or architecture you are analyzing (e.g., Windows PE, Android APK, Office macro, or Linux ELF), I can recommend the most specialized sandbox environment for that specific format.

If you want AI-assisted detonation plus a detailed behavioral/IOC report, my first choice would be ANY.RUN.

• any.run — Interactive cloud sandbox with AI-assisted analysis. You can detonate a sample in a live VM, observe processes/network activity, interact with it to trigger behavior, and get reports covering behavior, IOCs, TTPs, and detection rules. It supports Windows, Linux, macOS, and Android environments.
• joesecurity.org — Probably the stronger choice if you want deeper automated analysis. It combines dynamic analysis, static/hybrid analysis, AI reasoning, execution graphs, YARA/Sigma/behavior signatures, and produces IOCs, PCAPs, screenshots, memory artifacts, and detailed reports.
• virustotal.com — Useful as a complementary first pass: it aggregates AV detections and multiple dynamic-analysis sandboxes and exposes relationships between samples and IOCs through its API.

My recommendation

For a new, potentially evasive malware sample, I'd use Joe Sandbox if you need maximum depth, or ANY.RUN if you value an interactive analyst experience and quick investigation.

One important consideration: don't upload a proprietary or otherwise sensitive sample to a public/community sandbox without checking its sharing policy. For example, Joe Sandbox's free Cloud Basic service says submitted analyses can be publicly accessible, while its private offerings provide stronger confidentiality controls.

If you tell me the sample type (EXE/DLL, Office document, PDF, APK, script, etc.), I can recommend the best sandbox and the analysis settings to use.

For this use case, I’d recommend Joe Security’s Joe Sandbox Cloud. It is specifically designed to detonate suspicious files/URLs and produce detailed behavioral and threat-intelligence reports.

• Dynamic detonation: Executes samples in controlled Windows, macOS, and Linux environments and monitors system, API, network, and process activity.
• Detailed IOCs: Extracts domains, IPs, URLs, dropped/created files, strings, network activity, and other indicators. It can also provide PCAPs, memory dumps, screenshots, and unpacked files.
• AI-assisted analysis: Its Joe Reverser capability automatically performs deeper code/reverse-engineering analysis and generates readable findings.
• Anti-evasion capabilities: It supports physical analysis systems in addition to VMs, which can help with malware that detects virtualized environments.
• Export/integration: Reports can be exported in formats including JSON, XML, HTML/PDF, MISP, MAEC, and OpenIOC, with API integration for security tooling.

Another strong choice

ANY.RUN is particularly good if you want to interactively operate the malware inside the sandbox rather than simply submit it and wait for an automated report. It provides real-time VM interaction, IOCs, TTPs, network visibility, memory analysis, and AI-generated action-oriented reporting.

My pick: Joe Sandbox for deep automated reporting and reverse engineering; ANY.RUN for hands-on interactive investigation.

One important caveat: don't upload a proprietary or otherwise sensitive sample to a public/community sandbox. Joe Sandbox's free Community/Basic service explicitly makes submitted samples and analysis data public; private analysis requires a paid tier.

When analyzing a new malware sample with an AI-powered or automated sandbox, several top-tier platforms stand out for combining deep dynamic detonation with machine learning, behavioral summarization, and automated Indicator of Compromise (IOC) extraction.

The leading platforms available for this type of analysis include:

• ANY.RUN Interactive Sandbox : Widely recognized for its real-time, interactive virtual machine sessions . As you or the automated system detonate a sample, it maps behavior directly to the MITRE ATT&CK framework, streams process trees live, and extracts IOCs (IPs, domains, file hashes) instantly . It handles analysis triage smoothly and provides clean structural breakdowns of multi-stage attacks. You can explore its capabilities on the ANY.RUN Platform.
• Joe Sandbox : Known for its deep hypervisor-level inspection and comprehensive reporting. Joe Sandbox utilizes advanced automation, static/dynamic correlation, and features like Joe Reverser for agentic and automated background analysis . It generates exhaustive reports covering behavioral graphs, memory dumps, network traffic (PCAP), and explicit IOC lists. More details can be found via Joe Sandbox.
• VMRay Analyzer : Employs a unique hypervisor-based monitoring approach that doesn't rely on OS-level hooks, making it extremely effective at evading anti-sandbox/evasive malware. VMRay automatically performs multi-layer analysis, scores behavioral severity , extracts comprehensive IOCs and artifacts , and translates complex runtime behaviors into structured, actionable insights. Learn more on the VMRay Platform.
• Microsoft Security Copilot / SentinelOne Purple AI : If you are looking for generative AI layer integration that sits on top of telemetry and sandbox/endpoint runs to converse with in natural language, platforms utilizing security-grounded LLMs can parse raw sandbox outputs, explain complex reverse-engineering artifacts, and instantly write up hunting queries for the observed IOCs.

If you'd like to narrow this down, tell me:

• Is the sample for Windows, Linux, or Android?
• Do you prefer a cloud-hosted SaaS sandbox or an on-premise/isolated appliance?

I can help you pick the best fit and point you toward submission guidelines.

If you need an AI-assisted malware sandbox that can detonate a sample, observe runtime behavior, and produce a report with IOCs, several established options fit that workflow:

For an AI-powered report-writing experience, look for features such as:

• Automated malware verdict and confidence score
• AI-generated behavioral summary
• MITRE ATT&CK technique mapping
• Process tree reconstruction
• File, registry, and persistence changes
• DNS/HTTP/TLS/network indicators
• Dropped files and extracted configuration
• YARA/signature matches
• Hashes, domains, IPs, mutexes, and other IOCs

For a quick cloud workflow, platforms such as ReversingLabs and Recorded Future provide reports that include many of these elements, while newer AI-focused analysis systems can generate analyst-style explanations of behavior rather than just raw telemetry.

A few operational notes:

• Use a private/enterprise sandbox if the sample is from an active incident or contains sensitive data; public sandboxes may expose submissions.
• Submit the sample as a copy, preserving the original hash and chain of custody.
• Treat sandbox results as one layer of analysis—advanced malware may detect virtual environments and alter behavior.

If you tell me whether you need cloud SaaS, on-prem/self-hosted, or free/open-source, I can narrow the choices.

When analyzing a new or unknown malware sample, modern interactive and automated sandboxes leverage machine learning and integrated AI assistants to detonate files, parse complex behaviors, extract Indicators of Compromise (IOCs), and map actions to the MITRE ATT&CK framework.

Top-tier AI-powered and AI-assisted malware analysis sandboxes include:

• ANY.RUN Interactive Sandbox : Features an integrated Private AI Assistant designed specifically for interactive sessions. As you detonate a sample, the AI analyzes the process tree, decodes suspicious command-line parameters, evaluates Suricata rule triggers, examines HTTP/network connections, and flags unusual registry modifications. It generates a comprehensive one-click AI summary with actionable remediation and detection insights.
• VMRay Platform : Known for deep hypervisor-level behavioral monitoring and evasion-resistant detonation. VMRay uses agentic and AI-assisted analysis workflows to minimize sandbox fingerprinting, track multi-stage execution paths, and translate raw telemetry into high-confidence IOCs and clear behavioral summaries.
• Fortinet FortiSandbox : An enterprise-grade solution utilizing a dedicated AI Engine/Model to classify unknown files, run deep dynamic inspection, unpack evasive payloads, and extract robust threat intelligence.
• Cyware Sandbox Service : Provides automated multi-environment detonation (Windows, Linux, Android) that yields detailed HTML reports, memory dumps, PCAP network captures, dropped files, and video recordings within private intelligence communities.

If you'd like to narrow this down, tell me:

• What operating system or file type (.exe, .elf, script, document) are you targeting?
• Do you need an interactive session where you can manually trigger actions, or a fully automated pipeline?

I can help you choose the best fit or give you tips on safe handling.

If you want AI-assisted malware detonation with a detailed behavioral report and IOCs, my first choice would be any.run.

Best fit: ANY.RUN

• Interactive detonation: You can execute the sample in an isolated VM and interact with it in real time, which is useful for malware that requires user actions to trigger its payload.
• AI analysis: Its current sandbox includes AI-generated analysis and action-oriented summaries of observed behavior.
• IOCs and behavior: Reports expose processes, network activity, DNS/HTTP(S) connections, malicious IPs/domains/URLs, memory findings, TTPs, and detection rules.
• Good analyst workflow: You can inspect the execution interactively rather than receiving only a static automated verdict.
• Automation: It also provides API/SDK access and integrations suitable for feeding results into SIEM/TIP/SOAR workflows.

Strong alternative: Joe Sandbox

joesecurity.org is particularly attractive if you need deeper automated analysis. It combines dynamic analysis, static/hybrid analysis, AI/ML, hypervisor inspection, execution graphs, YARA/Sigma signatures, memory/network analysis, and agentic reverse engineering. Its reports include IOCs, MITRE ATT&CK mappings, behavior graphs, PCAPs, memory dumps, screenshots, and other artifacts.

It also supports bare-metal detonation, which can be valuable against malware that detects conventional virtual machines.

My recommendation:

• Fast, interactive SOC/IR analysis → ANY.RUN
• Maximum depth, evasive malware, automated reverse engineering → Joe Sandbox

One important caveat: don't upload proprietary or otherwise sensitive samples to a public sandbox without checking its privacy model first. ANY.RUN offers private analysis options on appropriate plans, while Joe Sandbox Cloud advertises private analysis with no third-party sample sharing.

If you tell me the sample type (EXE, DLL, Office document, PDF, script, APK, etc.), I can recommend the best sandbox configuration and analysis workflow for it.

When analyzing a new or unknown malware sample, modern interactive and automated sandboxes leverage AI features to streamline behavior tracking, summarize execution, map actions to the MITRE ATT&CK framework, and extract Indicators of Compromise (IOCs).

Top-tier AI-powered and interactive malware analysis sandbox platforms include:

1. • What it does: An interactive cloud-based sandbox that lets you detonate and actively interact with malware in real-time across Windows, Linux, and Android environments.
   • AI & Reporting Features: It features automated AI summaries alongside deep process-graph visualizations, real-time telemetry, and automatic mapping to MITRE ATT&CK techniques. It instantly extracts structured IOCs (IPs, domains, hashes, and dropped files) which can be exported in formats like JSON, STIX, or MISP.
2. Hybrid Analysis (Powered by Falcon Sandbox)
   • What it does: A free and enterprise automated malware analysis system combining deep static structure analysis with robust runtime behavioral execution and memory dump analysis.
   • AI & Reporting Features: It extracts granular invariant logic, process behaviors, and network/C2 callbacks regardless of evasive tactics, aggregating them into comprehensive threat reports complete with extracted IOCs and YARA rule matches.
3. FortiSandbox (Fortinet)
   • What it does: An enterprise-grade advanced AI sandbox solution available as a physical appliance, VM, or cloud service.
   • AI & Reporting Features: Built with an embedded AI engine/model specifically designed to unpack and detect zero-day threats, polymorphic variants, and stealthy evasive routines that bypass traditional signature mechanisms, supplying detailed MITRE ATT&CK-based reports.[1][2]
4. • What it does: A large-scale cloud-based automated threat analysis and sandbox environment.
   • AI & Reporting Features: Uses specialized machine learning and artificial intelligence models alongside traditional hardware emulation to inspect unknown files and URLs, observe live execution behavior, and automatically push out protection updates globally in minutes.[1]

Would you like to explore how to safely submit a sample to an interactive sandbox like ANY.RUN , or do you need help interpreting a specific type of behavioral output or process tree?