CodeSec AI-Scan Agent accelerates vulnerability discovery across web apps, APIs, networks and cloud. Smarter recon, contextual exploitation guidance and reduced false positives. Every finding is verified by a Codesecure consultant before it reaches your team.
CodeSec AI-Scan is an AI-augmented vulnerability discovery agent built and operated by Codesecure. It runs alongside our human pentest team during engagements to do what AI is good at: tireless recon, large-scale fingerprinting, payload combinatorics, response correlation and triage of noisy scanner output. The human consultant retains control of scope, exploitation calls and final reporting.
AI-Scan is deliberately not a "click to pentest your prod" tool. We treat AI as a force multiplier for our consultants, not a replacement. The agent surfaces candidate vulnerabilities, the consultant confirms exploitability and business impact, and only verified findings reach your report. This keeps the false-positive rate low and the trust high.
Pure-human VAPT is thorough but slow. Pure-automated scanners are fast but noisy: typical scanner output is 60-80 percent false positives, and even the real findings often need significant human investigation to confirm exploitation and business impact. The right answer is hybrid: AI accelerates the parts that are mechanical, the consultant owns the parts that need judgement.
AI-Scan also helps with the parts of pentests that are repetitive but important: full asset discovery, broad fingerprinting, payload variations, response anomaly detection, parameter mining, large-scope coverage. These take consultant time away from the high-value work of chained exploitation, business logic and architectural-level findings.
CodeSec AI-Scan augments the pentest workflow with targeted AI capabilities:
45-minute walkthrough call with our AI team. We will show you the AI-Scan workflow on a sample target, demonstrate the consultant-verification step and discuss applicability to your environment. Instant response, no delay.
Request Early AccessAI-Scan runs inside a structured pentest workflow with consultant oversight at every step:
Consultant defines scope, target list, exclusions and rules of engagement. AI-Scan ingests targets and validates them against scope.
Asset discovery, fingerprinting, parameter mining, authenticated crawl. Output is a structured target inventory with candidate surfaces.
Contextual payload generation per detected stack, response anomaly detection, parameter and verb fuzzing. Candidate findings are scored and ranked.
Named consultant reviews each candidate finding, validates exploitability, confirms business impact, discards false positives.
Findings written up by consultant with exploitation evidence, business impact and remediation. Free retest included per service SLA.
Every AI-Scan-augmented engagement ships with the same consultant-validated output:
// AI Stack & Integrations
30-minute call with our AI engineering lead. Discuss how AI-Scan fits into your environment, your security testing programme and our roadmap with no sales pressure.
Talk to the AI TeamNot at the moment. AI-Scan is an internal capability that augments Codesecure-delivered pentests. We are deliberate about consultant verification, so a fully self-serve "click to pentest" version is not on the immediate roadmap. Early-access engagements are available where AI-Scan provides material value to your specific environment.
No, and we do not want it to. AI-Scan accelerates mechanical pentest tasks: recon, fingerprinting, payload combinatorics, triage. Human consultants retain ownership of scope, exploitation judgement, business impact analysis and final reporting. The output you receive is consultant-verified, not AI-generated.
False-positive triage is one of AI-Scan's primary jobs. Candidate findings are scored on multiple dimensions including response pattern confidence, payload-context fit, framework-specific exploitability and historical signal-to-noise. Only ranked candidates are surfaced to the consultant for verification, and only confirmed findings reach your report.
AI-Scan operates within the rules of engagement defined for the pentest. Within an authorised scope, it runs the same kinds of probes a human pentester would, with the same safety considerations. Out-of-scope assets and destructive actions are blocked at the agent level, with consultant approval required for sensitive operations.
Sensitive payload and response data stays within Codesecure infrastructure. Where large-language-model capabilities are used (for reasoning over fingerprints, payload generation, etc.), we are evaluating both API-based commercial models with enterprise-grade data handling, and self-hosted open-weights options for the most sensitive engagements. We can scope your engagement to your data-handling preference.
We use commercial scanners (Burp, ZAP, Nuclei, etc.) as one of several engines under AI-Scan, but the agent is what coordinates them and reasons across results. The differentiator is consultant verification before delivery, which is something pure-tool vendors typically cannot offer. You get the speed of AI plus the trust of a human-verified pentest report.
Instant response, no delay. We respond within an hour during business hours, send a scoped engagement proposal in 24-48 hours under NDA, and start the pentest same week. AI-Scan augmentation is included where it fits the engagement type.
CodeSec AI-Scan accelerates Codesecure pentests with AI-driven discovery and consultant verification. Faster findings, lower false-positive rate, audit-ready reports. Request early access for your next engagement.
Request Early Access Back to Home
