AI-powered AppSec

Invicti AI secures your applications from code to runtime.

AI-driven vulnerability discovery across code, APIs, and apps

Smart risk prioritization to cut through noise

Automated validation with runtime proof

Faster remediation guided by AI insights

Challenges we’re solving with AI

Too many findings, too much code, and too many releases. AppSec needs have outgrown what humans alone can manage.
Invicti applies AI to cut the noise, keep pace with modern development, and help developers fix issues fast.

Vibecoding risks

AI-assisted coding introduces hidden flaws that static tools flag without context. We prove which issues are exploitable at runtime, correlate them back to the code, and prioritize the biggest threats.

"Pentest-only" attack surfaces

Logic flaws, authenticated APIs, and AI-driven endpoints typically require manual penetration testing. We close this gap with AI form filling, stateful scanning, and LLM testing.

Correlation and remediation

There are too many vulnerability types for devs to remember. We correlate results across scanners, prove what’s real, and deliver code-level remediation guidance with training support and corporate memory.

Find hidden risks

Catch vibecoding risks before production

Risk scoring: Predict the most at-risk endpoints before scanning begins. Understand severity with threat intel, app context, and exploitability.

Runtime validation: Proof-Based Scanning confirms if vibecoded issues are exploitable in production, cutting false positives.

Cross-tool correlation: Link runtime validation back to SAST and SCA results, mapping flaws to exact files, dependencies, and code owners.

Threat intelligence enrichment: Dynamically adjust vulnerability severity using external feeds like Mandiant to highlight high-impact risks first.

Shadow API discovery: Detect undocumented or hidden APIs during scans to eliminate blind spots attackers exploit.

prove and automate

Close the pentesting gap

LLM security testing: Test AI-powered interfaces for prompt injection, shadow AI, and other OWASP LLM Top 10 risks.

AI login and form filler: Automate authentication and form handling to expand coverage into flows that used to require manual pentesting.

Authenticated API scanning: Support for headers, tokens, cookies, and OAuth2 ensures protected APIs are scanned end-to-end, uncovering flaws behind access controls.

Stateful API scanning: Detect business logic flaws like BOLA and BFLA by tracking parameter relationships across API calls.

Complex workflow automation: Orchestrate scanning across multi-step processes and CI/CD pipelines to continuously test surfaces that used to require manual pentesting.

Turn findings into lasting fixes

Empower and assist developers

AI remediation guidance: Deliver code-level fix suggestions developers can apply quickly.

Developer analytics: Analyze vulnerabilities introduced by developers and use results to tailor secure coding training and measure progress.

Verification on fix: Re-test and validate vulnerabilities after remediation to close the loop and avoid regressions.

Noise suppression rules: Filter or suppress recurring low-priority alerts so developers only see actionable issues.

Corporate memory & training: Link recurring vulnerabilities to an internal knowledge base and integrate with platforms like Secure Code Warrior or SecureFlag to provide tailored developer education and prevent repeats.

What customers say

Testimonial

“For more websites, we now don’t need to go externally for security testing. We can fire up Invicti, run the tests as often as we like, view the scan results, and mitigate to our hearts’ content. As a result, the budget we were spending every year on penetration testing decreased by approximately 60% almost immediately and went down even more the following year, to about 20% of our initial spending.”

- Brian Brackenborough | CISO, Channel 4
Testimonial

“Invicti detected web vulnerabilities that other solutions did not. It is easy to use and set up...”

- Henk-Jan Angerman | Founder, SECWATCH
Testimonial

“I had the opportunity to compare expertise reports with Invicti ones. Invicti was better, finding more breaches.”

- Andy Gambles | Senior Analyst, OECD
Testimonial

“Invicti is the best Web Application Security Scanner in terms of price-benefit balance. It is a very stable software, faster than the previous tool we were using and it is relatively free of false positives, which is exactly what we were looking for.”

- Harald Nandke | Principal Consultant, Unify (now Mitel)

Frequently asked AI security questions

What role does AI play in Invicti’s platform?

AI is used to reduce noise, accelerate remediation, and improve coverage. Capabilities include predictive risk scoring, AI remediation guidance, and correlation of findings across multiple tools.

What is AI remediation guidance?

AI remediation guidance provides developers with code-level fix suggestions generated automatically for identified vulnerabilities. Instead of generic secure coding rules, Invicti delivers targeted recommendations in context, so developers can review and apply precise fixes directly.

Does Invicti test AI and LLM interfaces?

Yes. Invicti includes security testing for LLM-powered and AI-driven interfaces, detecting risks such as prompt injection and shadow AI endpoints, aligned with the OWASP Top 10 for LLMs.

How does Invicti support developer enablement?

Invicti builds a corporate memory by tracking recurring vulnerabilities and linking them to an internal knowledge base. Integrations with platforms such as Secure Code Warrior and SecureFlag provide developers with targeted training based on the issues they’ve introduced, helping prevent repeats.

How does AI help reduce false positives?

AI-aided correlation and deduplication link results across SAST, SCA, DAST, and container scanners. By normalizing and validating vulnerabilities, teams see a single confirmed issue instead of multiple duplicates.

How does AI validate whether fixes worked?

With two-way integrations, AI-driven automation validates fixes through follow-up scans and can reopen tickets if issues persist.

Can AI help automate complex scanning tasks?

Yes. Invicti uses AI to automate tasks such as authentication and form handling, expanding coverage for modern applications without manual setup.

What is predictive risk scoring?

Predictive risk scoring is the ability to rank vulnerabilities by risk before a scan even begins. Invicti uses application context, exploitability checks, and external threat intelligence to anticipate which endpoints are most likely to be attacked.

Featured resources

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