Listen to this Post
Introduction: A New Era Begins for Penetration Testing
Cybersecurity has entered a new phase where artificial intelligence is no longer limited to assisting analysts with suggestions, summaries, or automation scripts. The next evolution is the rise of agentic AI — intelligent systems capable of planning actions, interacting with tools, analyzing results, and adapting their approach based on discoveries.
In this changing landscape, PortSwigger has introduced Burp AT, a public beta feature bringing autonomous AI agents directly into Burp Suite Professional, one of the most trusted platforms used by penetration testers worldwide.
The launch represents a major shift in how security professionals approach web application assessments. Instead of replacing human expertise, Burp AT aims to remove repetitive and time-consuming tasks, allowing testers to focus on deeper analysis, exploitation decisions, and strategic security improvements.
For more than two decades, Burp Suite has been considered a cornerstone of professional web security testing. Now, PortSwigger is attempting to combine that established foundation with AI-driven investigation capabilities, creating a future where human researchers and intelligent agents operate together.
PortSwigger Introduces Burp AT Agentic AI for Security Researchers
PortSwigger’s Burp AT public beta introduces AI agents capable of independently investigating potential security issues inside the existing Burp Suite workflow.
Unlike traditional AI assistants that simply answer questions or generate recommendations, Burp AT is designed to actively perform security tasks. The agents can analyze application behavior, investigate suspicious findings, examine traffic patterns, and follow testing leads discovered during assessments.
The goal is not to create a fully autonomous hacker but rather a powerful assistant that expands the ability of penetration testers.
Many security engagements are limited by time. A tester may discover hundreds of potential attack paths but only have a few days to validate the most promising ones. Burp AT aims to solve this problem by allowing AI agents to continue investigating areas that would normally remain unexplored.
Why Agentic AI Matters in Modern Cybersecurity
The cybersecurity industry is facing a growing gap between the number of applications requiring testing and the number of skilled professionals available to evaluate them.
Modern web applications contain enormous amounts of complexity:
Millions of lines of JavaScript code.
Hidden API endpoints.
Cloud-based architectures.
Third-party integrations.
Dynamic authentication systems.
Complex business logic.
Traditional penetration testing methods remain extremely valuable, but they require significant manual effort.
Agentic AI introduces a different approach. Instead of simply scanning for known vulnerabilities, AI agents can reason through application behavior, create hypotheses, test assumptions, and adapt their strategy.
This represents a transition from automated scanning toward intelligent investigation.
Four Core Principles Behind Burp AT
- AI Agents Built Around Burp’s Proven Security Infrastructure
One of the biggest differences between Burp AT and generic AI cybersecurity tools is that the agents do not operate independently from the testing environment.
The AI works directly through Burp Suite’s established tools and uses existing project information, including:
Captured HTTP traffic.
Target application structure.
Previous discoveries.
Testing history.
Existing security observations.
This means the AI does not begin every investigation with limited context. Instead, it works alongside the tester and understands the current assessment environment.
- Purpose-Built Pentesting Skills Instead of Generic AI Knowledge
PortSwigger designed Burp AT around specialized penetration-testing skills developed with its own research teams.
This approach attempts to avoid a common weakness of general AI models: confidently producing incorrect or unreliable security advice.
Instead of relying only on broad training data, Burp AT agents follow structured methodologies designed specifically for web application security.
These skills allow agents to perform tasks based on professional penetration-testing workflows rather than random experimentation.
3. Human Control Remains at the Center
A major concern surrounding autonomous cybersecurity systems is trust.
Security testing involves sensitive environments, customer applications, and potentially dangerous exploitation techniques. A completely uncontrolled AI agent could create operational risks.
Burp AT addresses this by allowing testers to decide the level of autonomy.
Security professionals can determine:
Which actions happen automatically.
Which actions require approval.
Which activities are completely blocked.
The level of independence can change depending on the target environment and risk level.
This creates a balance between AI efficiency and human responsibility.
4. Security Boundaries and Complete Auditability
PortSwigger emphasizes that AI permissions are controlled through Burp’s own security architecture rather than only through the AI model.
Every action performed by the agent is recorded.
This includes:
Requests sent.
Responses received.
Decisions made.
Investigation paths followed.
For professional security assessments, this transparency is critical.
A penetration tester must be able to explain exactly how a vulnerability was discovered. An AI-generated claim without evidence is not enough.
Burp AT attempts to solve this by producing a reproducible investigation history.
A Real-World Test: AI Analyzes 66,000 Lines of JavaScript
During closed beta testing, one penetration tester used Burp AT to analyze approximately 66,000 lines of minified JavaScript code.
Normally, manually reviewing such a large amount of compressed client-side code would consume significant time and could exceed the limits of a standard engagement.
The AI agent reconstructed hidden application workflows and discovered previously unknown endpoints referenced inside the JavaScript.
According to PortSwigger, the investigation uncovered a critical vulnerability that might have remained unnoticed for another year without the assistance of AI.
This example highlights the potential advantage of agentic systems: not replacing researchers, but expanding the amount of security analysis they can realistically perform.
The Trust Challenge: AI Capability Is Not the Biggest Problem
PortSwigger believes the cybersecurity industry is not struggling because AI lacks capability.
Modern AI systems are already able to:
Generate attack hypotheses.
Interpret application behavior.
Execute testing workflows.
Analyze technical results.
The bigger challenge is trust.
Organizations need confidence that AI-driven security testing is:
Controlled.
Explainable.
Repeatable.
Auditable.
A penetration test is not only about discovering vulnerabilities. It is also about producing evidence that can stand up during security reviews, compliance audits, and customer discussions.
This is why Burp AT focuses heavily on transparency.
Deep Analysis: How Burp AT Could Change Penetration Testing
Agentic Security Testing Workflow
A traditional penetration test often follows this process:
1. Reconnaissance 2. Manual testing 3. Vulnerability discovery 4. Exploitation validation 5. Reporting
Burp AT introduces an AI-assisted workflow:
1. Tester configures target scope 2. Burp AT analyzes existing project data 3. AI agent identifies investigation paths 4. Agent performs controlled testing 5. Human validates important findings 6. Evidence is automatically documented
Example Burp Suite Data Investigation
Security researchers commonly analyze HTTP traffic:
GET /api/user/profile HTTP/1.1 Host: target-example.com Authorization: Bearer TOKEN
An AI agent could investigate:
– Does the endpoint expose unauthorized information?
– Can authentication controls be bypassed?
– Are hidden parameters available?
– Does the API reveal internal objects?
Potential Command-Line Security Workflow
A tester may combine Burp findings with external analysis:
Extract JavaScript files wget -r -A ".js" https://target-example.com
Search discovered endpoints
grep -R /api/ .
Identify hidden parameters
grep -R token\|admin\|debug .
Burp AT could help automate parts of this investigative process while maintaining evidence inside the Burp environment.
Security Advantages
Potential benefits include:
Faster vulnerability discovery.
Greater application coverage.
Reduced repetitive workload.
Improved learning opportunities for junior testers.
More detailed assessment documentation.
Security Risks
However, agentic AI also introduces new challenges:
False positive vulnerabilities.
Incorrect exploitation decisions.
Excessive autonomy.
AI misunderstanding business logic.
Sensitive data exposure.
The success of tools like Burp AT will depend less on raw intelligence and more on reliability.
What Undercode Say: The Future of Cybersecurity Will Be Human + AI Collaboration
The arrival of Burp AT represents a significant moment in cybersecurity.
For years, security automation focused mainly on scanning.
Scanners searched for known patterns.
They identified outdated software.
They detected common vulnerabilities.
But they rarely understood application behavior.
Agentic AI changes that direction.
The future security assistant will not simply report problems.
It will investigate.
It will ask questions.
It will follow suspicious signals.
It will analyze complicated application logic.
It will support human experts during the hardest parts of security testing.
However, the cybersecurity community should avoid blindly trusting AI.
A powerful AI agent without proper controls could become another source of risk.
Security testing requires responsibility.
A vulnerability report must be accurate.
An exploit must be carefully validated.
A customer’s environment must be protected.
PortSwigger’s decision to keep humans involved is therefore important.
The strongest security model will not be fully autonomous AI.
It will be a partnership.
Human researchers provide creativity, intuition, and ethical judgment.
AI provides speed, scale, and endurance.
Together, they can analyze applications beyond what either could achieve alone.
Burp AT also shows a larger industry trend.
Companies are moving away from simple AI chat assistants.
The next generation of cybersecurity tools will be active participants.
They will perform investigations.
They will manage workflows.
They will continuously analyze threats.
The challenge will be building trust.
Organizations will demand proof.
They will require logs.
They will require explanations.
They will require accountability.
AI agents must become not only intelligent but dependable.
PortSwigger understands that reputation cannot be created by marketing.
It must be earned through real-world testing.
Burp Suite became trusted because security professionals used it for decades.
Burp AT now begins the same journey.
The cybersecurity world will be watching whether AI agents can truly become reliable teammates.
If successful, tools like Burp AT could dramatically increase the defensive capabilities of security teams.
If poorly implemented, they could create new problems that attackers may exploit.
The future of penetration testing is changing.
The question is no longer whether AI will enter cybersecurity.
It already has.
The real question is whether organizations can build AI systems that deserve human trust.
✅ Fact: PortSwigger launched Burp AT as a public beta
The announcement describes Burp AT as a public beta release integrated into Burp Suite Professional.
The feature is designed around AI agents that assist penetration testers rather than completely replacing them.
The release represents PortSwigger’s move into agentic AI-powered security testing.
✅ Fact: Burp AT focuses on controlled AI autonomy
PortSwigger states that users can control how much independence AI agents receive.
The system includes permission boundaries and logging capabilities.
This approach addresses major concerns around uncontrolled cybersecurity automation.
✅ Fact: AI-assisted penetration testing is becoming an industry trend
Multiple cybersecurity companies are investing in AI-driven security operations.
Agentic AI is increasingly being explored for vulnerability research, threat detection, and security analysis.
The long-term success depends on reliability, transparency, and human oversight.
Prediction
(+1) AI Agents Will Become Standard Tools for Professional Security Teams
The adoption of agentic AI in cybersecurity will likely accelerate as organizations face increasingly complex applications and limited security talent.
Future penetration testing platforms may include AI investigators as standard features.
Human experts will remain essential, but their role may shift toward supervising AI systems, validating discoveries, and making strategic security decisions.
Companies that successfully combine AI efficiency with human expertise could achieve significantly stronger security coverage.
The next generation of penetration testers may not compete with AI.
They may become the professionals who know how to command it effectively.
▶️ Related Video (76% Match):
🕵️📝Let’s dive deep and fact‑check.
🎓 Live Courses & Certifications:
Join Undercode Academy for Verified Certifications
🚀 Request a Custom Project:
Secure, high-velocity infrastructure and disruptive technological engineering. Contact our engineering team for high-tier development and proprietary systems:
[email protected]
💎 Smart Architecture | 🛡️ Secure by Design | ⭐ Trusted by Thousands
References:
Reported By: cyberpress.org
Extra Source Hub (Possible Sources for article):
https://stackoverflow.com
Wikipedia
OpenAi & Undercode AI
Image Source:
Unsplash
Undercode AI DI v2
🔐JOIN OUR CYBER WORLD [ CVE News • HackMonitor • UndercodeNews ]
📢 Follow UndercodeNews & Stay Tuned:
𝕏 formerly Twitter 🐦 | @ Threads | 🔗 Linkedin | 🦋BlueSky | 🐘Mastodon | 📺Youtube
