The future of penetration testing is hybrid, blending runtime testing with agentic capabilities. Autonomous AI can now reason through an application the way an experienced tester would: exploring novel logic, adapting to how the app responds, and uncovering attack paths that predefined checks miss. But not every vulnerability class requires a frontier model – well-understood patterns are better served by fast, deterministic testing.
Invicti Agentic Pentest is built on an intelligent division of labor, pairing AI reasoning with Invicti's best-in-class DAST engine and applying each component to the work it handles best. Autonomous agents reason through the ambiguous parts of an application while the DAST scanner validates known vulnerabilities. The result is a faster, more effective approach that finds exploitable risk while maintaining the proof-based validation that enterprise security teams depend on, surfacing more real, exploitable risk than either approach could alone.

Development teams are shipping software faster than ever. AI-assisted coding, continuous delivery, and increasingly distributed architectures have dramatically expanded the number of applications and APIs organizations need to secure.
But traditional penetration testing hasn't kept pace. Manual engagements are expensive, hard to scale, and capture only a single point in time. AI-powered testing has improved automation, but many emerging solutions rely on frontier models throughout the entire assessment process, increasing costs while introducing variability into results.
Invicti Agentic Pentest takes a different approach. Autonomous AI and deterministic security testing run in parallel, with each informing the other’s work.
“The new engine blends the DAST and the agentic together.”
– Dan Murphy, Invicti chief architect
Invicti’s proof-based DAST engine establishes the attack surface, rapidly validating well-understood vulnerability classes with deterministic testing and concrete proof of exploitability. As the scanner discovers a new surface, that context streams to the agent layer in batches rather than waiting for a complete crawl, so reasoning starts early and keeps pace with discovery.
Each agent is equipped with a suite of powerful tools, which can be used to both better guide the DAST engine by reporting new links, as well as confirming exploits through Invicti's Out-of-Band sensor network. Additionally, agents have the ability to view the attack surface and prioritize particular inputs that are pertinent to their area of expertise, such as a SQL Injection attack agent that specializes in URLs with parameters that look like database filter inputs.
This dynamic prioritization is the point. Two decades of DAST engineering covers the known ground, so agentic reasoning is applied only where it is genuinely needed. The result is deeper testing that stays efficient, delivering findings that developers can reproduce and fix without a second round of triage.
When source code is available, that context extends even further: Agentic Pentest incorporates code-level insights to generate application-specific attack payloads while still validating confirmed findings from an external attacker's perspective.
Rather than a single model with tools, Agentic Pentest runs a multi-agent architecture. An orchestration layer scores the available attack surface and dispatches work across it. Reconnaissance and scout agents characterize how the application behaves under real traffic, while specialized attack agents work in parallel across distinct vulnerability classes such as SQL injection, remote code execution, XSS, SSRF, and other common attacks.
A separate application-specific agent pursues the flows that don’t map to any known class, including chained abuse of business logic. Behind them, a validation loop independently re-verifies each finding as it arrives, and an enrichment loop attaches the context needed to act. A reporting agent then synthesizes the full engagement the way an experienced tester would explain it: what was reachable, what was proven, and what it all means.
During early-access deployments, Agentic Pentest uncovered complex attack paths and business logic vulnerabilities that traditional automated scanning alone would not have identified – all while validating reported findings with concrete evidence.
Invicti Agentic Pentest integrates directly into existing application security workflows, enabling organizations to augment or replace manual penetration testing with autonomous assessments that fit naturally into modern software development. Each assessment includes:
Agentic Pentest represents the first step in Invicti's broader agentic offensive security strategy. By combining intelligent exploration with deterministic validation, organizations can move beyond the constraints of periodic manual penetration testing toward scalable, on-demand assessments that keep pace with modern software delivery.
Routing every task through a frontier model is easy but rarely efficient and not based in real-world proof. Invicti Agentic Pentest spends tokens only where AI reasoning is the best tool for the job and relies on deterministic testing everywhere else. The result is deeper assessments, applied where they matter most.
To learn more about Invicti Agentic Pentest or request a demonstration, visit https://www.invicti.com/pentest.
