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Novee vs. Shinobi

Pipeline integrations move findings fast, but proving exploitability is what turns a finding into fixable risk.

Shinobi is built for developer pipelines, with core CI/CD integrations, but it runs single-pass validation and has no proprietary model. Novee proves exploitability with independent validation and deterministic checks, and compounds context every cycle.

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Chosen by teams that take attackers seriously

Novee vs. Shinobi at a glance

Challenges with Shinobi

Aikido’s new pentesting offering is real but shallow, focused on compliance and targeting developers, not security teams. It’s a mechanism to generate SOC 2/ISO 27001 PDF reports.

Challenges with Shinobi:

  • No proprietary offensive model.

    Shinobi runs on third-party models with no offensive stack of its own. Reasoning is capped by those models.
  • Single-pass validation architecture.

    Findings run through a single pass with no independent confirmation, so exploit validation stays weak and more false positives can reach your team and slow triage.
  • No compounding context across runs.

    Shinobi starts fresh on every assessment, re-discovering the same vulnerability classes each cycle instead of getting deeper, without building a lasting model of your environment.
  • Business logic depth is unproven.

    Shinobi points to blog posts about business logic flaws, but with no proprietary model, that depth is hard to prove when real breaches are on the line.
  • Retesting, no stack-specific fixes.

    Shinobi retests to confirm a fix, but remediation isn't tailored to your WAF, backend, and codebase, so the loop lands on your team.

Why Novee Over Shinobi?

Autonomous testing is only as valuable as what it proves, how confidently you can act, and whether the fix holds.

Where Novee goes further:

  • A proprietary offensive AI stack.

    Novee owns and optimizes the entire AI stack, model and harness, meaning maximized efficiency gains and accuracy.
  • Validation built for zero false positives.

    Every finding runs through three independent agents. If any stage fails, it's never reported. Every finding comes with a working exploit, replication steps, and a PoC script.
  • A closed loop to a verified fix.

    Remediation is tailored to your WAF, backend, and codebase, not generic OWASP references. Once a fix ships, Novee retests automatically to confirm it held, and checks for new risks.
  • Context that compounds every cycle.

    The Novee Asset Intelligence Model builds a picture of your roles, workflows, APIs, and business logic, so every run gets more targeted.
  • Predictable per-asset pricing.

    Depth and frequency don't cost extra, so continuous, deep testing never gets rationed against a budget.
  • Coverage including AI apps

    Web apps, APIs, mobile, and AI agents and LLMs, layers attackers probe as environments add AI.

Novee vs. Shinobi Across Key Areas

Capability Novee AI Pentesting Shinobi
Offensive AI stack

No proprietary model. Relies on third-party models, so its offensive reasoning is capped by whatever those base models provide.

Validation architecture

Single-pass architecture, no independent confirmation between a false positive and your team.

Testing depth

Claims business logic coverage in blog posts, but with no proprietary model that depth is hard to prove.

Compounding application context

Starts fresh on each assessment; context does not compound across runs.

Closed-loop remediation & retesting

Retests fixes, but the remediation isn’t stack-specific.

Coverage

Web, REST API, GraphQL, gRPC, and mobile (Android, iOS). No AI agent or LLM testing.

Continuous, change-triggered testing

Runs continuously, triggered through CI/CD integration when code ships.

Workflow and CI/CD Integration

Broad CI/CD integrations

What security leaders say

“As the leading agentic orchestration platform for the enterprise, data isolation between our customers is non-negotiable. We need to prove that continuously, not once a year. Novee adapted to our multi-tenant SaaS product within days.”

Scott Roberts
CISO
john

“Our pen tests took weeks and consistently missed critical issues. Novee found them immediately and gave us instant remediation guidance. It showed us what we'd been missing.”

John Barrow
CISO

"Traditional DAST produced either zero or irrelevant results. We needed something that could identify complex vulnerabilities like server-side request forgery. Novee consistently surfaces findings we simply weren't seeing before."

Robert Kugler
Head of Security, IT & Compliance

“Novee rethinks penetration testing for how attacks actually happen today. Continuous, attacker-level validation that proves what’s exploitable and shows teams exactly how to fix it is a meaningful shift for modern security programs.”

Troy Wilkinson
Former Fortune 500 CISO
tamir ronen

"The hardest vulnerabilities for us to catch aren’t misconfigurations or known patterns. They’re business logic issues that only show up when someone understands how the application is supposed to work. That’s exactly the gap Novee closes."

Tamir Ronen
CISO, HiBob

"We had EASM tools and manual pentests that produced mostly noise. Novee came in black-box with zero credentials and within days found dozens of real vulnerabilities we could actually fix."

Itzik Menashe
CISO, Global VP IT InfoSec & productivity

“As an AI researcher, what stood out about Novee is that they built a proprietary offensive AI model designed to think like an attacker, rather than wrapping generic LLMs. That matters for enterprise-grade results.”

Tal Shapira
PhD, CTO

“This was by far the deepest and fastest security assessment we’ve had. Novee uncovered issues across our web and mobile applications that had gone undetected before, and the level of depth was unlike anything we’d seen from other vendors.”

Amir Tito
CISO

“We had urgent compliance need and we couldn’t wait weeks for DAST findings, an external exposure audit, and an in-depth pentest report. Instead Novee came in and delivered immediate value with their AI pentesting platform; with their findings, we closed our gaps and quickly met the criteria we needed for certification.”

Ron Reiter
CTO

"Before Novee, we were getting a snapshot once a year. Now we have continuous coverage across our application portfolio, we're already finding things that prior manual pentests missed completely, and I have real confidence that our security posture reflects what's actually in our environment."

Abhijeet Patkar
Cyber Security Manager

The Novee Advantages

Proprietary Offensive Model

The Problem with Shinobi:

Shinobi is developer-first, with the broadest CI/CD integrations and coverage across web, API, and mobile. But it runs on third-party general-purpose models with no offensive stack of its own, so its reasoning ceiling is set by those models. It scans reliably for known vulnerability classes, while the business logic flaws that chain into breaches stay out of reach.

How Novee Goes Further:

Novee post-trained its own offensive reasoning model on real attacker tradecraft. It doesn't just scan for known vulnerability classes; it reasons and chains vulnerabilities across your business logic the way a human attacker would. Orchestrated with best-in-class frontier models selected per task, and purpose-built for offensive application security, it finds the complex, chained attack paths that general-purpose scanning structurally can't reach alone.

Validation and False-Positive Triage

The Problem with Shinobi:

Shinobi runs a single-pass validation architecture with no independent confirmation, so exploit validation is weak and more false positives slip through to your team.

How Novee Improves Signal-to-Noise:

Every suspected vulnerability runs through three independent agents – a finder, a validator, and a blind re-validator with no context from the first two – backed by deterministic checks wherever exploitability can be confirmed by execution rather than inference. If any stage fails, the finding never surfaces. Every issue that reaches your team arrives proven, with a working exploit, replication steps, and a PoC script. No false positives by design, no manual triage.

Closing the Loop

The Problem with Shinobi:

Shinobi retests to confirm a fix, which is more than many tools offer. But its remediation isn't tailored to your architecture – no guidance specific to your WAF, backend, or codebase – so the work of turning a finding into a verified, stack-specific fix still lands back on your team.

How Novee Improves Remediation:

Because the Novee Asset Intelligence Model captures your architecture and tech stack, remediation guidance is specific to your WAF, backend, and codebase and, connected to CI/CD, drops to the code level. Once a fix ships, Novee automatically retests to confirm the vulnerability is resolved and checks for new risk the change introduced.