Invicti Security, known for its expertise in web application and API security, has introduced its latest innovation, Invicti Agentic Pentest. This novel method of penetration testing combines autonomous AI reasoning with Invicti's proof-based Dynamic Application Security Testing (DAST), offering a transformative approach to security testing.
Building upon two decades of experience in application security, Invicti Agentic Pentest autonomously identifies, validates, and documents exploitable vulnerabilities. This advancement allows organizations to perform deeper security evaluations without enduring the time delays, elevated costs, and scalability challenges associated with traditional manual penetration testing.
Challenges with Traditional Penetration Testing
With modern development teams deploying new code frequently, conventional penetration tests have become cumbersome due to their expensive, manual, and time-specific nature. Although AI-only solutions have enhanced automation, they often escalate computational expenses because frontier models are applied at every testing stage. Invicti's solution effectively tackles these issues by merging autonomous AI with proof-based DAST.
Neil Roseman, CEO of Invicti Security, remarked, "The future of application security isn't about using more AI. It's about using AI more intelligently. Many emerging solutions rely on large AI models throughout the entire penetration testing process. We believe there's a better way. Hybrid agentic pentesting combines autonomous AI reasoning with Invicti's proven proof-based DAST technology, applying each where it delivers the greatest value. That architecture enables faster, more cost-effective penetration testing while maintaining the deterministic validation enterprise security teams require."
Innovations in Deterministic Security Testing
This hybrid model effectively merges autonomous AI's adaptability with deterministic security testing
This hybrid model effectively merges autonomous AI's adaptability with deterministic security testing. Specialized AI agents assess application behavior, detect potential attack pathways, and adjust testing strategies on the go, while the Invicti DAST engine utilizes a comprehensive set of reliable heuristics to generate comprehensive reports.
Invicti's selective application of autonomous reasoning, alongside its trusted DAST processes, allows for quicker, cost-effective penetration testing complete with verifiable findings for immediate developer action.
A Comprehensive Approach to Security
The Invicti Agentic Pentest includes a proprietary reconnaissance engine that maps out an application's attack surface, analyzes authentication flows, and gains contextual insight into application behavior before devising targeted attack plans. When access to source code is available, Invicti integrates code-level insights to create customized attack payloads while validating each discovery from an external attacker's perspective.
Furthermore, Invicti deploys specialized AI agents that operate simultaneously across various vulnerability categories, including SQL injection, remote code execution, cross-site scripting, and more. An app-specific agent compiles reconnaissance and assessment data into a strategic attack blueprint emulating experienced pentesters.
Discovering Hidden Vulnerabilities
Invicti exposed exploitable conditions, supporting each report with solid evidence
Through early-access trials, the Invicti Agentic Pentest platform uncovered complex attack vectors and business logic vulnerabilities that traditional scanning could have missed. By analyzing proof-based DAST findings and dynamically refining its strategy, Invicti exposed exploitable conditions, supporting each report with solid evidence.
A participating company's representative stated, "We were impressed by what Invicti uncovered beyond traditional scanning. It connected findings, reasoned through the application, and identified attack paths our existing tools hadn't exposed. More importantly, their finds came with evidence our team quickly validated and fixed."
Integrating into Modern Development
The Invicti Agentic Pentest seamlessly integrates with established application security protocols, facilitating the replacement or enhancement of manual penetration testing with autonomous evaluations that align with contemporary software development needs.
Each assessment with Invicti includes autonomous reconnaissance, adaptive attack strategies, AI agents for distinct vulnerabilities, verified exploitability findings, comprehensive technical reports, and detailed remediation guidance, along with enterprise controls like scope enforcement and rate limiting.
Scaling Enterprise Penetration Testing
As the inaugural feature of Invicti's agentic offensive security strategy, Agentic Pentest supports businesses in speeding up remediation, lowering manual testing costs, broadening security scope, and confirming the security of swiftly evolving web and API applications.
Through intelligent exploration and deterministic validation, organizations achieve faster evaluations and a more streamlined approach to enterprise-scale penetration testing compared to methods solely dependent on frontier AI models.
Invicti Security, a pioneer in web application and API security, announces Invicti Agentic Pentest, a new approach to penetration testing that combines autonomous AI reasoning with Invicti's industry-pioneer proof-based Dynamic Application Security Testing (DAST).
Built on more than 20 years of application security expertise, Invicti autonomously discovers, validates, and reports exploitable vulnerabilities, enabling organizations to conduct deeper security testing without the delays, costs, and scalability limitations of traditional manual penetration testing.
Modern development teams
Modern development teams release new code daily, while traditional penetration tests remain expensive, manual, and point-in-time. AI-only approaches improve automation but often incur significant compute costs by applying frontier models across every stage of testing. Invicti addresses both challenges by combining autonomous AI with proof-based DAST.
"The future of application security isn't about using more AI. It's about using AI more intelligently," said Neil Roseman, CEO of Invicti Security. "Many emerging solutions rely on large AI models throughout the entire penetration testing process. We believe there's a better way. Hybrid agentic pentesting combines autonomous AI reasoning with Invicti's proven proof-based DAST technology, applying each where it delivers the greatest value. That architecture enables faster, more cost-effective penetration testing while maintaining the deterministic validation enterprise security teams require."
Deterministic security testing
The hybrid approach combines the strengths of autonomous AI with deterministic security testing. Specialized AI agents reason about application behavior, identify attack paths, and adapt testing strategies in real time, while Invicti's proof-based DAST engine applies a vast library of fast, reliable deterministic heuristics that are blended into a single report.
Rather than relying on frontier AI models for every stage of testing, Invicti uses autonomous reasoning selectively, while relying on Invicti's proven DAST engine for simpler, established vulnerabilities. This hybrid architecture delivers the depth of agentic AI testing faster, with lower total cost, and with high-confidence findings that developers can immediately reproduce and remediate.
Holistic attack strategy
Invicti Agentic Pentest implements a proprietary reconnaissance engine; it maps an application's attack surface, analyses authentication flows, and builds a contextual understanding of application behavior before generating customized attack plans. When source code is available, Invicti incorporates code-level context to create tailored attack payloads while continuing to validate every confirmed finding from an external attacker's perspective.
Then, Invicti orchestrates specialized AI agents that operate in parallel across multiple vulnerability classes, including SQL injection, remote code execution, cross-site scripting, server-side request forgery, XML external entity injection, insecure deserialisation, path traversal, NoSQL injection, and other attack techniques. An app-specific agent then synthesises reconnaissance and assessment findings into a holistic attack strategy that mirrors experienced pentesters, including multi-stage attacks.
Uncovered exploitable conditions
During early-access deployments, Invicti Agentic Pentest identified complex attack paths and business logic vulnerabilities that traditional automated scanning alone would not have uncovered. By reasoning over proof-based DAST findings and adapting its testing strategy in real time, Invicti uncovered exploitable conditions while validating every reported vulnerability with concrete evidence.
"We were impressed by what Invicti uncovered beyond traditional scanning. It connected findings, reasoned through the application, and identified attack paths our existing tools hadn't exposed. More importantly, their finds came with evidence our team quickly validated and fixed."
Modern software development
Invicti Agentic Pentest integrates with existing application security workflows, enabling organizations to replace or augment manual penetration testing with autonomous assessments that fit naturally into modern software development.
Each assessment includes:
- Autonomous reconnaissance and adaptive attack planning
- Specialized AI agents targeting distinct vulnerability classes
- Validated findings with proof of exploitability
- Human-readable penetration testing reports with executive and technical summaries
- Detailed reproduction steps, payloads, and remediation guidance
- Enterprise controls including scope enforcement, rate limiting, role-based access, and isolated execution environments
Enterprise-scale penetration testing
As the first capability released under Invicti's agentic offensive security approach, Agentic Pentest helps organizations accelerate remediation, reduce manual testing costs, expand security coverage, and validate the security of rapidly changing web and API applications.
By combining intelligent exploration with deterministic validation, organizations gain faster assessments and a more efficient path to enterprise-scale penetration testing than approaches that rely exclusively on frontier AI models.
