Appknox Compared Ostorlab. Here's What They Missed.

Appknox recently published a "Top 10 MAST Tools in 2026" comparison. Unfortunately, their assessment of Ostorlab—as well as their framing of other vendors in the space—was largely inaccurate and factually incorrect. Their comparison table lists "No" across several key capability columns for Ostorlab.

The intent of this article is to provide the actual comparison based on currently shipping, documented features.

Setting the Record Straight

Their table lists specific capability gaps for Ostorlab. Here is what is currently shipping.

Claim 1: "No integrated penetration testing"

Ostorlab is not only a traditional static scanner; it is driven by Agentic Deep Scan, an autonomous AI pentester designed to actively exploit vulnerabilities. This goes beyond static checks into integrated, multi-step penetration testing. For instance, in a recent documented case study, Agentic Deep Scan discovered a hardcoded Auth0 machine-to-machine (M2M) credential. Rather than simply flagging the leak—as a scanner would—the agent autonomously mapped the credential's authorization surface. It successfully escalated from a scoped read:TSC token to access the tenant's Auth0 Management API, extracting a 1,000-record user directory and exposing latent administrative scopes.

Claim 2: "No app store monitoring"

Ostorlab provides continuous monitoring of the App Store, Google Play Store, and TestFlight. Furthermore, the platform is built to fetch region-locked variants via native country selection without requiring manual sourcing.

Beyond just detecting changes, Ostorlab allows you to set up custom monitoring rules to automate your security workflows. You can easily set up these rules in the platform (see our product documentation for a guide on how to configure them). Here are some use cases where it's useful to set up a monitoring rule:

Use case	Trigger	Action
New Critical vulnerability	Critical finding appears in a scan	Send Slack notification and create Jira ticket
Regression detection	Previously fixed vulnerability reappears	Notify application owner immediately
Compliance monitoring	App loses MASVS compliance	Open compliance ticket
Public app monitoring	New version appears in Google Play/App Store	Automatically start a scan
Third-party SDK risk	Vulnerable SDK detected	Alert security team and assign remediation
Executive visibility	Critical issue remains open >30 days	Escalate to CISO or manager

Curious about how setting up monitoring rules works in practice? Check out our quick tutorial video below:

Claim 3: "No AI exploitability prioritization"

Ostorlab utilizes a hybrid approach combining static analysis, dynamic testing, and active AI exploitation. Exploitability is validated during the scan itself through autonomous reproduction, rather than being applied as an afterthought to filter static output. We invite you to watch this video to learn more about our Agentic Deep Scan and platform capabilities:

Claim 4: "A scanning platform rather than a security program"

A robust security program requires precision workflows after a detection occurs, whereas typical scanners do not perform closed-loop remediation or asset discovery. Ostorlab ships specific programmatic features to manage the full lifecycle of risk. This includes:

• Single Vulnerability Assessment (SVA) for targeted re-testing.
• Dig Deeper for root-cause investigation.
• One-click remediation for rapid, closed-loop patching.
• Attack Surface Management (ASM) for continuous asset discovery.
• App Vetting to evaluate third-party risk.
• Mobile Shielding Scans to validate runtime protections on physical devices.

To see all the exciting features we have been adding to the platform lately, check out our Changelog.

A Question Their Own Marketing Raises

When launching their new KnoxIQ feature, Appknox framed the problem facing security teams today: "Too many vulnerabilities. No real priority." They cited an industry-wide false-positive figure of approximately 30%.

It is worth noting what this implicitly concedes: the raw output of traditional scanners (the core category Appknox has sold) is not trustworthy enough for developers without a secondary AI validation layer.

By contrast, Ostorlab's validation occurs inside the exact same engine that finds the issue. No separate triage product is necessary because items are not flagged unless they can be demonstrated as exploitable during the scan.

KnoxIQ vs. Agentic Deep Scan: The Technical Difference

To be clear, KnoxIQ (launched in April 2026) is a legitimate tool. It decompiles applications, cross-references exploits, and suggests patches for detected vulnerabilities. However, there is a fundamental architectural divide between a triage layer and an agentic engine.

KnoxIQ acts as a triage and validation layer for vulnerabilities a scanner has already found statically. Agentic Deep Scan is an active exploitation engine testing the live, authenticated application to find complex issues that static scanners fundamentally miss. Furthermore, while legacy dynamic testing often requires users to manually interact with the application to ensure coverage, Ostorlab employs an intelligent monkey tester that autonomously navigates the UI, interacting with complex state elements to ensure deep dynamic coverage without human intervention.

Feature	KnoxIQ (Appknox)	Agentic Deep Scan (Ostorlab)
What it does	Triage and validation layer	Active exploitation and pentesting engine
Input	Static scan findings	Live, authenticated application
Ceiling	Decompilation and static cross-referencing	Dynamic multi-step exploit chains
Delivery	Suggests patches after the fact	One-click, ready-to-merge PR fix, verified in the live app

Full-Stack Coverage, Not Just Mobile

While Appknox is exclusively focused on mobile applications, modern attack surfaces are rarely confined to a single platform. Ostorlab is built as a unified platform for Mobile, Web, API, and Source Code (via Git integrations) under one agent and one pricing model. Ostorlab consistently supports the latest versions of iOS and Android immediately, avoiding the OS-version limitations and delays that often restrict legacy mobile testing tools.

Flexibility: Scan Profiles and Integrations

• Ostorlab supports multiple tailored scan profiles (Fast Scans for CI/CD, Privacy, Mobile Shielding, SAST/DAST, and full Agentic).
• Ostorlab provides a significantly broader set of native integrations than Appknox, seamlessly plugging into GitHub, GitLab, Azure DevOps, Bitbucket, Jira, Slack, and Jenkins.

Deployment and Pricing

Ostorlab supports deployments across US, EU, and KSA cloud regions, as well as on-premise installations.

The pricing model operates on a usage-based token wallet with real-time refunds and unlimited free seats for team members. Our pricing is completely transparent, and we invite you to view all the details directly on our Pricing Page.

The "freemium" label often applied to Ostorlab actually refers to our OXO open-source project and our Community plan. This plan is permanently free and provides unlimited Fast Scans—a lightweight, rapid static analysis profile optimized for quick feedback during development cycles. The Fast Scan includes:

• Rapid identification of common configuration errors.
• Detection of hardcoded API keys, tokens, and secrets.
• Analysis of vulnerable programming patterns in source and bytecode.
• Fast Software Composition Analysis (SCA) for third-party SDKs.

The Bottom Line

Ultimately, the true value of a security platform is measured by its ability to reduce risk without overwhelming engineering teams with noise.

Agentic Deep Scan is an autonomous AI pentester built to chain exploits and validate real risk. The best way to evaluate the difference between a traditional scanner and an agentic pentest is not through a comparison table—it is by testing it. We invite you to run an Agentic Deep Scan against your own application and compare the depth of the findings yourself.