Scantist is pleased to announce that PAIStrike, our enterprise-grade agentic AI penetration testing platform, is now available on AWS Marketplace.
This milestone makes it easier for AWS customers to discover, procure and adopt autonomous penetration testing through their existing AWS accounts and purchasing processes.
PAIStrike uses multi-agent artificial intelligence to simulate realistic attacker behaviour, analyse application workflows, conduct authenticated grey-box testing and validate exploitable security risks. It helps enterprises, security teams, DevSecOps teams and penetration testing service providers scale offensive security testing across modern web applications and digital services.
Explore PAIStrike on AWS Marketplace:
https://aws.amazon.com/marketplace/pp/prodview-3bxtohhutikpi
Agentic AI penetration testing, also known as agentic pentesting, uses autonomous AI agents to perform security testing activities that traditionally require substantial manual effort.
Unlike conventional vulnerability scanners that primarily execute predefined rules and payloads, an agentic AI pentesting platform can:
Agentic AI systems combine reasoning, planning, tool usage, memory and continuous adaptation. This enables them to perform more dynamic testing than traditional automated vulnerability assessment tools.
The objective is not simply to generate more security alerts. It is to help organisations identify practical attack paths and understand which weaknesses could be exploited by a real attacker.
Modern applications are increasingly distributed, API-driven and dependent on complex identity and access-control models. They often include multiple user roles, authenticated workflows, third-party integrations, cloud services and rapidly changing business logic.
Traditional Dynamic Application Security Testing, or DAST, remains valuable for detecting many known vulnerability patterns. However, scripted scanners can struggle with weaknesses that require an understanding of context, permissions or multi-step user behaviour.
Examples include:
These risks may not be discoverable through a single request or predefined payload. A tester may need to authenticate, understand the application workflow, observe how an object is created and then attempt to access or modify that object through another account.
This is where AI-powered penetration testing and agentic reasoning can add value.
PAIStrike uses a multi-agent architecture in which specialised AI agents collaborate throughout the penetration testing lifecycle.
Instead of treating security testing as a single scan, PAIStrike approaches it as an adaptive engagement.
PAIStrike begins by exploring the target web application and identifying available pages, endpoints, parameters, technologies and workflows.
Its reconnaissance capabilities help the platform build an understanding of the available application attack surface before deeper security testing begins.
Based on what the agents discover, PAIStrike develops and adjusts its testing strategy.
The agents can decide which areas require deeper investigation and which vulnerability classes may be relevant to a particular endpoint or workflow. This enables the assessment to adapt dynamically instead of following only a fixed sequence of checks.
Many serious application vulnerabilities exist behind a login page.
PAIStrike supports authenticated grey-box penetration testing through an embedded browser. A user can complete the login process, including supported authentication steps, and hand the valid session to the AI agents for continued testing.
This enables PAIStrike to assess:
Authenticated testing provides deeper coverage than an unauthenticated external vulnerability scan.
PAIStrike can conduct security testing across common web application vulnerability categories, including:
The agents analyse application responses and adapt their actions as testing progresses.
One of the largest challenges with automated security tools is false positives.
PAIStrike is designed to go beyond identifying suspicious behaviour. Its agents attempt to validate findings and collect technical evidence that security teams can independently review.
Each finding can include affected endpoints, reproduction context, technical evidence, risk explanations and remediation recommendations.
This evidence-backed approach helps development and security teams prioritise confirmed risks instead of spending time investigating large volumes of unverified alerts.
PAIStrike generates structured security findings that can support:
Security teams can use these results to understand what was discovered, why it matters and how the issue can be addressed.
Automated vulnerability scanners generally rely on predefined signatures, checks and payload libraries. They are effective for identifying known technical patterns across large numbers of applications.
Agentic pentesting introduces a reasoning and decision-making layer.
An agentic AI pentesting platform can observe the target, interpret results, modify its plan and investigate potential attack paths. Instead of executing every test in the same order, the platform can concentrate on areas that appear relevant to the application’s behaviour.
This does not mean human security expertise is no longer required.
Human pentesters remain essential for defining scope, reviewing business impact, applying organisational context and exercising professional judgement. PAIStrike is designed to augment security professionals by automating repeatable activities, increasing testing capacity and enabling more frequent security validation.
Traditional penetration testing is often performed annually, before a major release or as part of a compliance exercise.
However, modern applications may change every week or even several times per day. A security assessment performed months ago may not represent the application currently running in production.
PAIStrike helps organisations move towards continuous penetration testing and continuous offensive security validation.
Potential use cases include:
By increasing the frequency of offensive security testing, organisations can identify exploitable weaknesses earlier in the software development lifecycle.
PAIStrike can help internal security and DevSecOps teams:
For organisations adopting DevSecOps, autonomous pentesting can complement Static Application Security Testing, Software Composition Analysis and DAST by testing the behaviour of the running application from an attacker’s perspective.
Cybersecurity consultancies, Managed Security Service Providers and penetration testing companies often need to deliver more assessments without proportionally increasing manual effort.
PAIStrike can augment professional penetration testing teams by supporting:
Human experts can then focus on high-value activities such as complex business-logic analysis, risk interpretation, customer communication and final quality assurance.
This hybrid model combines the scalability of autonomous AI penetration testing with the experience and professional judgement of qualified security consultants.
Different organisations have different requirements for application data, credentials, test evidence and security operations.
PAIStrike supports deployment models designed for enterprise requirements, including SaaS, private-cloud and on-premises environments, subject to the selected engagement and customer requirements.
These options are particularly relevant to regulated enterprises, government agencies and organisations that require controlled handling of application credentials, authenticated sessions and penetration testing data.
AWS Marketplace helps organisations find, purchase and manage third-party software through AWS.
By making PAIStrike available through AWS Marketplace, Scantist enables AWS customers to procure the platform through a familiar enterprise purchasing channel. This can simplify vendor onboarding, commercial discussions and subscription management for organisations that already use AWS.
Customers can explore PAIStrike packages, contact Scantist and discuss onboarding or deployment requirements directly through the marketplace listing.
Artificial intelligence is increasing the speed and accessibility of offensive cybersecurity capabilities.
Attackers can use AI to automate reconnaissance, generate attack variations, analyse application behaviour and scale security testing activities. As these capabilities develop, organisations cannot rely only on periodic or purely manual assessments.
Defenders need similarly adaptive security technologies.
Agentic AI penetration testing gives organisations a way to continuously examine their applications from an attacker’s perspective. It enables security teams to identify weaknesses more frequently, validate real risks and respond before those weaknesses are exploited in a real attack.
PAIStrike supports this transition by combining autonomous AI agents, dynamic application reasoning, authenticated testing and evidence-backed vulnerability validation in a single offensive security platform.
PAIStrike is now available to AWS customers seeking to strengthen web application security, scale penetration testing and introduce autonomous offensive security validation into their application lifecycle.
Explore PAIStrike on AWS Marketplace:
https://aws.amazon.com/marketplace/pp/prodview-3bxtohhutikpi
Organisations can contact Scantist to discuss product demonstrations, proof-of-concept testing, enterprise deployment, private-cloud requirements, on-premises implementation or collaboration with penetration testing service providers.
Agentic AI penetration testing uses autonomous AI agents to plan, execute and adapt penetration testing activities. The agents can analyse application behaviour, use security tools, investigate potential vulnerabilities and validate findings with less manual intervention than traditional testing approaches.
Traditional vulnerability scanning generally executes predefined security checks. AI pentesting can introduce reasoning, planning and adaptation, allowing the system to investigate application workflows and potential attack paths based on the responses it observes.
Yes. PAIStrike supports authenticated grey-box testing. Users can authenticate through an embedded browser and hand the valid session to the AI agents so they can test authenticated workflows and role-specific functionality.
No. Autonomous pentesting is best used to augment human security professionals. AI agents can automate repeatable testing, improve coverage and accelerate validation, while human experts provide scoping, business context, judgement and final quality assurance.
PAIStrike can help organisations perform security assessments more frequently, including before releases, after application changes and following vulnerability remediation. This supports continuous security validation within a DevSecOps programme.
PAIStrike is designed for enterprise security teams, DevSecOps teams, SaaS companies, regulated organisations, government agencies, cybersecurity consultancies and penetration testing service providers that want to scale application security testing.
PAIStrike is available on AWS Marketplace at:
https://aws.amazon.com/marketplace/pp/prodview-3bxtohhutikpi