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If a general-purpose chatbot refuses a penetration-testing request, do not try to bypass its safeguards. Use a tool built for an authorized, scoped workflow and keep a human tester responsible for every consequential action. For most web assessments, PortSwigger Burp AT or Burp AI is the closest fit to an AI assistant inside an established proxy workflow. Choose the OWASP Penetration Testing Kit (PTK) when authenticated browser behavior, DOM state, single-page-app navigation or client-side code is the hard part. Consider BurpGPT when you need cloud-provider choice or local processing through Ollama or Hugging Face. Use Microsoft Security Copilot for enterprise investigation, threat hunting and response support connected to organizational telemetry—not as an autonomous replacement for a web scanner or penetration tester.
None of these products removes the need for written authorization, a test window, safe accounts, rate limits and review of evidence. AI can accelerate bounded tasks, but a tester must decide what is in scope, whether an action is safe, and whether a finding is reproducible.
What to use instead of a refusing chatbot
A refusal usually means the service is not designed to distinguish a legitimate engagement from an attack. The practical alternative is not a less restricted chatbot; it is an auditable security tool connected to a defined target and controlled by an experienced operator.
| Primary need | Best documented fit | Why it fits |
|---|---|---|
| Human-led web-application testing in an interception proxy | Burp AT and Burp AI | Agentic assistance inside Burp Suite, with per-tool approval controls and workflows for mapping, confirmation, reproduction and vulnerability-class testing. |
| Authenticated browser and single-page-application assessment | OWASP Penetration Testing Kit (PTK) | Observes browser traffic, runtime state, DOM behavior and client-side code; PTK Agent adds browser-automation integrations. |
| Bring-your-own model or local processing | BurpGPT | Documentation describes integrations with Anthropic, Google AI Gemini and OpenAI, plus local processing through Ollama and Hugging Face. |
| Enterprise investigation, hunting and response | Microsoft Security Copilot | Promptbooks, agents, plugins and connectors work with Microsoft security products and organizational telemetry. |
This is a workflow choice, not an accuracy league table. The available product documentation and the PentestGPT academic paper do not provide a common, independently validated accuracy or time-saved benchmark, so a percentage ranking would be misleading.
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Start with authorization and a safe operating envelope
Before opening a proxy or agent, turn the engagement rules into settings the tool and operator can follow. Authorization should identify the owner, exact hostnames or application identifiers, permitted test types, test accounts, source addresses, time window, rate limits, data-handling rules and an emergency contact. A statement such as “test the company website” is not precise enough for an agent that can crawl, replay or modify requests.
Confirm what the agent may do
- Separate passive observation from active scanning, request modification, token testing and actions that create or change records.
- Define whether production is allowed. If it is, specify endpoints, request rates and transactions that are explicitly approved.
- Provide dedicated accounts with the minimum privileges needed to exercise the agreed workflows.
- Decide whether model prompts, HTTP traffic, tokens, screenshots and findings may leave the environment.
- Require a human approval gate for destructive, state-changing or high-volume actions.
OWASP’s responsible-use guidance for PTK is explicit: use it only against systems where you have explicit authorization. It also warns that active scanning, crawling, request modification and token testing can generate load, modify application data or trigger security monitoring. Those warnings apply to any agent with comparable capabilities.
How the tools differ
| Comparison axis | Burp AT/Burp AI | OWASP PTK/PTK Agent | BurpGPT | Microsoft Security Copilot |
|---|---|---|---|---|
| Workflow coverage | Web proxy, request/response analysis and Burp testing workflow. | Browser runtime, client-side code, DOM, SPA navigation, traffic inspection and replay. | Assistant layered onto Burp with model-provider integrations. | Enterprise security investigation, threat intelligence, hunting and response. |
| Autonomy and approvals | Fine-grained, per-tool permissions can require approval for every action or permit autonomous operation. | Browser actions and scans must be bounded by the operator; responsible-use warnings call for explicit authorization. | Depends on the extension, model and Burp configuration; verify what is sent and what actions are automated. | Agents and plugins act through connected services; permissions and product roles determine reach. |
| Deployment and privacy | Runs in the Burp environment; confirm the current service and account data-handling terms. | Browser and agent components can be operated in the tester’s environment; review telemetry and integration settings. | Cloud models or local Ollama/Hugging Face processing are documented options. | Enterprise cloud service connected to Microsoft security products; review tenant, data residency and licensing terms. |
| Automation and integrations | Burp tooling and human-led workflows. | Playwright, Puppeteer, Selenium and Cypress through PTK Agent; ZAP integration can place browser findings in the ZAP alert model. | Burp extension plus selected model providers. | Promptbooks, plugins, agents and connectors across Defender, Entra, Intune, Purview, Sentinel and related services. |
| Evidence and reproducibility | Findings can be tied to Burp requests, responses and reproduction steps; retain the project and approval history. | Browser traffic, runtime observations and ZAP alerts can preserve a path to reproduction; capture account state and navigation sequence. | Quality depends on the model and extension version; retain prompts, model configuration and raw Burp evidence. | Investigation records and connected-product data support enterprise response; it is not a dedicated web-proof capture system. |
| Cost and licensing | Not stated in the product documentation summarized here; check the current edition and plan. | Not stated in the project material summarized here; check the project’s current licensing and any hosted services. | Not stated in the extension documentation summarized here; verify extension licensing, model charges and provider terms. | Not stated in the documentation summarized here; integrated Microsoft products may need separate purchases. |
Burp AT and Burp AI: the closest match for human-led web testing
PortSwigger describes Burp AT as bringing agentic AI to human-led penetration testing. Its documented examples are deliberately practical: mapping an unfamiliar target, confirming a suspected vulnerability, reproducing a known issue and testing for a particular vulnerability class. The important distinction is that the agent operates inside the tester’s Burp workflow rather than receiving an unrestricted instruction to attack an arbitrary site.
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Burp AT exposes fine-grained, per-tool permissions. You can require approval before every action, allow selected actions while retaining approval for sensitive tools, or permit autonomous operation where the engagement rules allow it. Configure those permissions to match the written scope, not to maximize speed. For example, passive mapping may be approved automatically on a test host, while request modification, account changes or high-volume checks remain approval-gated.
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A practical Burp AT workflow
- Open the authorized target in Burp Suite and verify that the proxy is capturing only the agreed hostnames.
- Import or create the engagement scope and exclude unrelated domains, third-party services and personal data paths.
- Set per-tool permissions so discovery and analysis are separated from active or state-changing actions.
- Give the agent a bounded objective, such as mapping the in-scope application or validating one suspected issue, and state the test account and rate limit.
- Review each proposed action before approval. Check the URL, method, parameters, authentication context and expected side effects.
- Save the request/response pair, reproduction steps and approval decision with the finding. A useful result is evidence another tester can replay, not merely an AI narrative.
Burp DAST documentation separately describes Burp AI features and says the assistant chooses an action based on the user’s request. Treat that as an action-planning aid: inspect the selected action and its scope before allowing it to run.
OWASP Penetration Testing Kit: when the browser is the attack surface
PTK is designed around what a browser can see and execute. It combines runtime analysis, component analysis and manual browser testing, including inspection and replay of browser traffic, request modification, JWT and cookie handling, security-header review and route discovery. That makes it especially useful for authenticated single-page applications where a conventional network view misses client-side routes, DOM behavior or state created by JavaScript.
PTK quick-start procedure
- Open the application only after confirming explicit authorization and the agreed test window.
- Use a dedicated test account. Avoid a real customer account or data unless the rules expressly require it.
- Navigate through the approved workflows so PTK can observe browser-generated requests, loaded scripts, routes and runtime state.
- Inspect and replay captured traffic. Modify one parameter at a time and keep changes within the approved test cases.
- Review JWTs, cookies, security headers and discovered routes for issues that can be reproduced without damaging data.
- Run a bounded scan at the agreed rate. Stop if the application shows instability, unexpected data changes or monitoring alerts.
- Export or record the relevant request, response, browser state and reproduction sequence for each finding.
PTK Agent and automation
PTK Agent extends coverage into Playwright, Puppeteer, Selenium and Cypress automation. This is useful when a test must repeat a login flow, exercise a multi-step transaction or run in CI. Put the automation in a disposable environment where possible, use non-production data and keep secrets out of prompts and logs. A CI job should fail safely when authentication expires or a selector changes; it should not continue by guessing at a different account or endpoint.
PTK can integrate with ZAP so browser findings enter the ZAP alert model. That helps teams combine runtime observations with an existing alert and reporting process, but it does not make every alert valid. Confirm impact manually and preserve the browser context needed to reproduce it.
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BurpGPT: a model and privacy choice inside Burp
BurpGPT documentation describes integrations with Anthropic, Google AI Gemini and OpenAI, while also supporting fully local processing through Ollama and Hugging Face. The choice matters when an engagement prohibits sending source code, tokens, URLs or response bodies to a cloud model.
When local processing is worth the complexity
- Use a local model when contractual or regulatory rules prohibit external processing.
- Expect to manage model downloads, hardware capacity, updates, access controls and output quality yourself.
- Redact secrets before any prompt, including cookies, bearer tokens, API keys, personal data and proprietary source.
- Record the model name, version, context limits and extension version so another tester can understand the result.
BurpGPT’s capabilities are documented product claims rather than an independent evaluation. Verify current maintenance, licensing, provider availability and data-handling terms before adopting it for a client engagement. A local option reduces data transfer, but it does not by itself guarantee accurate analysis or safe actions.
Microsoft Security Copilot: enterprise investigation, not a standalone pentest agent
Microsoft presents Security Copilot as a security platform with promptbooks, agents, plugins and connectors. Its documentation covers workflows across Defender, Entra, Intune, Purview, Sentinel and related services. Plugins let an agent call external resources, and integrated products may need to be purchased separately.
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Keep enterprise assistance separate from attack execution
- Connect only the tenant, workspaces and plugins covered by the engagement and internal data policy.
- Use promptbooks or agents to gather context, generate hypotheses and prepare response actions.
- Have an authorized tester perform any active validation with the dedicated testing tools and accounts.
- Feed confirmed evidence back into the enterprise workflow for detection tuning, incident records or remediation tracking.
Can an LLM run a penetration test by itself?
Current evidence supports AI for bounded subtasks: operating testing tools, interpreting outputs and proposing next actions. The PentestGPT paper also reports difficulty maintaining an integrated understanding of the entire testing scenario. In practice, an LLM can lose track of trust boundaries, authentication state, business impact or what has already been verified.
Use AI as a supervised operator, analyst or note-taking assistant. The human tester should own the threat model, scope decisions, authorization checks, safety gates, false-positive analysis, severity and final report. If an agent proposes an action that is not explicitly permitted, do not “try it just to see”; return to the rules of engagement.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Authenticated browser workflows: a decision guide
| Situation | Recommended starting point | Reason |
|---|---|---|
| Traditional web app with clear HTTP requests and an existing Burp team | Burp AT/Burp AI | Works in the interception and reproduction workflow the team already uses. |
| SPA with client-side routing, dynamic DOM behavior and browser-only tokens | PTK, optionally PTK Agent | Observes runtime behavior and can automate browser frameworks. |
| Repeated end-to-end flows in CI | PTK Agent with Playwright, Puppeteer, Selenium or Cypress | Uses the application’s real browser flow while retaining a repeatable job. |
| Need to keep prompts and traffic on controlled infrastructure | BurpGPT with Ollama or Hugging Face | Documentation describes local-processing paths; validate operational maturity first. |
| Need to correlate a red-team exercise with enterprise detections | Security Copilot plus a dedicated testing tool | Copilot supplies telemetry and response context; the testing tool performs validation. |
Improve discovery with a non-AI complement
OWASP’s Attack Surface Detector documents a limitation of ordinary DAST: it can miss unlinked endpoints, optional parameters and parameter data types. The detector is available as a plugin for ZAP and Burp Suite and as a command-line interface. Use it to expand discovery, then validate the resulting routes and parameters manually or with the approved agent. It is a coverage complement, not an AI product and not a guarantee that the attack surface is complete.
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Evidence, reporting and reproducibility
An AI-generated explanation is not proof. For every finding, retain the smallest evidence set that lets an authorized reviewer reproduce the issue:
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- Target hostname, route, timestamp and test account or role.
- Raw request and response, with secrets and personal data redacted.
- Browser action sequence or automation script when runtime state matters.
- Agent prompt, model/provider, tool version and approval decision when AI influenced the action.
- Observed impact, prerequisites, a safe reproduction path and the exact boundary of what was tested.
Separate observations from hypotheses. “The response reflected the supplied value” is an observation; “this permits account takeover” is a conclusion that requires additional validation. This discipline prevents a fluent model from turning an unverified suspicion into a reportable vulnerability.
Common failure modes and fixes
The agent tries an out-of-scope host
Stop the run, correct the scope at the proxy or browser layer, and remove the host from captured context. Do not rely on a natural-language reminder alone; enforce the boundary in the tool configuration.
Authentication expires or the workflow loops
Re-authenticate with the approved test account, confirm the cookie or token was captured for the intended tenant, and restart from a known browser state. Disable autonomous retries until you know that a loop will not create duplicate records.
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Scanning causes load or changes data
Stop active requests, preserve timestamps and affected identifiers, notify the engagement contact and reduce concurrency and rate. Switch to passive observation until the owner confirms how to proceed.
The model reports a plausible but unrepeatable flaw
Request the exact request, response, account role and prerequisite state. Reproduce manually or with a deterministic script. If it cannot be reproduced, label it as unconfirmed rather than assigning a definitive severity.
Cloud processing violates the engagement rules
Disable the cloud provider, remove sensitive context from prompts and move to an approved local setup such as the BurpGPT paths documented for Ollama or Hugging Face. Confirm that extension logs and crash reports do not still export data.
A practical selection checklist
- Choose Burp AT/Burp AI for an agentic assistant inside a human-led Burp web-testing workflow.
- Choose PTK for browser-visible behavior, authenticated SPAs, DOM analysis and client-side code; add PTK Agent for supported automation or CI.
- Choose BurpGPT when provider choice or local-model processing is a requirement, after checking maintenance and licensing.
- Choose Security Copilot when the main problem is enterprise telemetry, investigation, hunting or response coordination.
- Add Attack Surface Detector when unlinked routes and optional parameters are likely to be missed by ordinary DAST.
- In every case, enforce scope, approvals, rate limits, test accounts, data controls and human review.
Bottom line for an authorized engagement
Use a dedicated tool workflow rather than trying to make a general chatbot ignore its safety boundary. Burp AT/Burp AI is the strongest documented fit for human-led web testing; PTK is the browser and client-side specialist; BurpGPT supplies cloud or local-model flexibility; and Security Copilot belongs alongside enterprise investigation and response processes. None should be given unsupervised authority to conduct an entire penetration test. The defensible result is a scoped, reviewable chain of actions and evidence that a qualified tester can reproduce.
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