Cybersecurity Products Built by VerSprite

VerSprite’s cybersecurity products are built from the same thinking that defines our services: adversarial depth, business-aligned risk analysis, manual exploitation, and a practical understanding of how real attackers operate.

We do not build tools for vanity metrics. We build them to solve the problems security teams face when findings lack context, threat models fall out of date, IoT testing requires protocol-level visibility, and emerging attack techniques need to be demonstrated before they become incidents.

From continuous application threat modeling to PTaaS client visibility, MQTT interception, and deepfake-enabled security training, VerSprite products help organizations understand risk with more clarity and act with more confidence.

Fork: Continuous Application Threat Modeling at Scale

Fork is VerSprite’s continuous application threat modeling platform designed to help security, engineering, and product teams identify risk earlier and keep threat models aligned with how applications actually evolve.

Traditional threat modeling is often treated as a workshop, a diagram, or a point-in-time exercise. Fork changes that model by helping teams build, maintain, and operationalize threat models throughout the software development lifecycle.

Built around VerSprite’s PASTA methodology expertise, Fork supports data-driven threat assessments that connect application design, attack surface, business impact, vulnerability intelligence, and mitigation strategy.

Why Fork Matters

Application environments change constantly. New features ship, APIs expand, third-party dependencies shift, and attack paths evolve. A threat model that is accurate today can become stale tomorrow.

Fork helps teams make threat modeling continuous.

With Fork, organizations can move from static documentation to a living view of application risk. Security teams can prioritize threats based on business impact, product teams can better understand how design choices affect exposure, and engineering teams can act on risk before it turns into production-level weakness.

Fork Helps Teams

• Build application threat models from the earliest stages of product development
• Keep threat models aligned as applications change
• Prioritize threats based on likelihood, business impact, and attack feasibility
• Connect security findings to industry threat libraries and real-time vulnerability data
• Support collaboration between security, engineering, product, and business stakeholders
• Request targeted testing tied directly to threat model findings
• Strengthen DevSecOps programs with repeatable risk analysis

Best Fit

Fork is built for teams that need scalable, risk-centric application security. It is especially valuable for organizations with growing application portfolios, product security programs, DevSecOps teams, or business units that need a clearer connection between technical threats and business impact.

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Tavola: PTaaS Results Mapped to Business Context

Tavola is VerSprite’s client portal platform for Penetration Testing as a Service engagements. It is designed to give PTaaS clients a clearer, more strategic way to understand penetration testing results.

Security findings without context are just noise.

A critical vulnerability in isolation may appear urgent, but its real significance depends on the product it affects, the business objective that product supports, the attacker path it enables, and the risk posture the organization is accountable for managing.

That is why VerSprite built Tavola.

Tavola gives clients an analytical surface where adversarial testing results are contextualized against the business objectives behind the products being tested. Instead of relying only on static reports, spreadsheets, CVEs, or CVSS scores, Tavola helps teams understand what findings mean in context.

Why Tavola Matters

Penetration testing should not end with a report. Security leaders need to understand which findings matter most, why they matter, and how remediation decisions should be prioritized based on business impact.

Tavola brings VerSprite’s adversarial depth into a modern PTaaS experience. It connects manual exploitation, threat modeling rigor, and business-contextual intelligence into a client portal built for clarity.

For VerSprite PTaaS clients, Tavola is included at no additional cost.

Tavola Helps Teams

• View VerSprite PTaaS results through a client portal experience
• Connect findings to tested products, business objectives, and risk posture
• Move beyond static reports, spreadsheets, CVEs, and CVSS scores
• Give security leaders better context for remediation prioritization
• Help product owners understand risk in relation to product accountability
• Translate adversarial findings into business-relevant security decisions
• Strengthen the strategic value of penetration testing engagements

Best Fit

Tavola is built for VerSprite PTaaS clients that need more than a list of findings. It is especially valuable for security leaders, application owners, product teams, executives, and risk stakeholders who need to understand how adversarial testing results connect to business priorities.

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ZANCUDO: MQTT Interception for IoT Penetration Testing

ZANCUDO is VerSprite’s open-source MQTT interception proxy built by pentesters, for pentesters.

In web application security, interception proxies are essential. They give testers the ability to inspect, manipulate, replay, and understand traffic. But IoT and embedded device testing often requires working with protocols that do not fit neatly into traditional web testing workflows.

MQTT is one of those protocols.

ZANCUDO gives IoT penetration testers the visibility and control they need when assessing MQTT-based systems, embedded devices, and connected products.

Why ZANCUDO Matters

IoT and embedded environments often introduce testing challenges that traditional tools were not designed to solve. Devices may communicate with backend services over MQTT. Connections may use TLS, client certificates, custom certificate authorities, proprietary payload formats, or encrypted messages.

ZANCUDO was created to make that work more practical.

It helps testers intercept MQTT traffic, analyze message payloads, work through certificate-based testing scenarios, and manipulate traffic in ways that support deeper security analysis.

ZANCUDO Helps Teams

• Intercept MQTT traffic during IoT and embedded device assessments
• Analyze message payloads in human-readable formats
• Work with TLS-enabled MQTT environments
• Support certificate generation workflows for controlled testing scenarios
• Decode common text and binary formats
• Use scripting to analyze proprietary or encrypted payloads
• Modify, drop, or inject packets to test authorization, validation, and business logic weaknesses

Best Fit

ZANCUDO is built for offensive security teams, IoT pentesters, embedded device testers, security researchers, and organizations assessing connected devices or MQTT-based systems.

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DLC4P: Real-Time Deepfake Security Training and Red Team Demonstration

DLC4P is VerSprite’s real-time deepfake face-swapping tool built for authorized security training, red team operations, and social engineering demonstrations.

Deepfakes are no longer only a future concern. AI-generated voice, video, and identity manipulation are becoming part of the modern social engineering landscape. Organizations need to understand how these techniques work, how convincing they can be, and where existing verification processes may fail.

DLC4P helps security teams demonstrate that risk in a controlled, authorized, and educational setting.

Why DLC4P Matters

Security awareness is more effective when people can see the threat.

DLC4P was designed for security professionals who need reliable, real-time deepfake capabilities for training and adversarial simulation. It helps teams demonstrate how AI-enabled impersonation can affect video calls, executive communications, identity verification, and trust-based business workflows.

This is not about hype. It is about preparedness.

When employees, executives, and security teams experience how deepfake-enabled deception can look in real time, they are better equipped to question assumptions, strengthen verification processes, and respond to emerging social engineering techniques.

DLC4P Helps Teams

• Demonstrate deepfake-enabled impersonation risk in live training scenarios
• Support authorized red team and social engineering exercises
• Help executives understand AI-enabled fraud and identity deception
• Test human verification processes and trust workflows
• Improve security awareness around synthetic media threats
• Connect AI risk to practical controls, detection, and response planning

Best Fit

DLC4P is built for red teams, security trainers, social engineering programs, executive security briefings, AI security education, and organizations preparing for synthetic media threats.

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Knife: Adversarial AI for Application Security Testing

Knife is VerSprite’s adversarial AI platform built to extend the reach, speed, and persistence of application security testing.

Designed from VerSprite’s CREST-accredited Web Application Security Testing, Mobile Application Security Testing, and Penetration Testing expertise, Knife combines specialized AI agents with senior consultant validation to help organizations identify exploitable application risk with greater coverage and faster time-to-value.

Knife is not a passive scanner or audit utility. It is an exploitation-oriented testing layer built to ingest live HTTP traffic, classify application behavior, dispatch purpose-built agents, and produce evidenced findings that VerSprite consultants can validate, prioritize, and translate into business-relevant security outcomes.

Why Knife Matters

Application security risk changes faster than traditional testing cycles.

New endpoints ship, APIs expand, authentication flows change, and business logic evolves between scheduled assessments. Attackers do not wait for the next report cycle, and security teams need more than a point-in-time view of exposure.

Knife helps bring adversarial pressure closer to the pace of software delivery. Its AI agents extend testing breadth across application attack surfaces, while VerSprite consultants provide the human judgment required to validate exploitability, remove noise, identify attack chains, and communicate impact clearly.

With Knife, organizations can move beyond narrow assessment windows toward a more continuous model of offensive application security testing without losing the rigor, accountability, and business context that define VerSprite’s approach.

Knife Helps Teams

• Expand application security testing coverage across more endpoints and payload classes
• Test for SQL injection, cross-site scripting, NoSQL injection, open redirects, CORS weaknesses, user enumeration, information disclosure, IDOR, MFA bypass scenarios, and other application-layer risks
• Pair AI-scale testing with VerSprite consultant-led validation
• Identify exploitable findings faster during authorized testing workflows
• Reduce noise through evidenced, normalized, and deduplicated findings
• Map findings to security references such as CWE, CVE, CAPEC, and OWASP categories
• Give security teams earlier visibility into findings as testing activity progresses
• Support remediation decisions with adversarial context and business-impact analysis
• Strengthen application security programs between traditional penetration testing cycles

Best Fit

Knife is built for CISOs, application security teams, product security leaders, DevSecOps programs, and organizations with fast-moving application portfolios that need broader offensive testing coverage without sacrificing expert validation.

It is especially valuable for teams that want to reduce the gap between penetration tests, improve visibility into exploitable application risk, and pair adversarial AI capabilities with VerSprite’s CREST-accredited offensive security expertise.

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AltorCloud: Continuous Cloud Security Posture Management

AltorCloud is VerSprite’s Cloud Security Posture Management platform designed to help organizations identify, monitor, and remediate cloud security risks across AWS, Azure, and GCP environments.

Cloud environments change constantly. New services are deployed, permissions expand, configurations drift, and security gaps can emerge faster than traditional review cycles can catch them. AltorCloud gives security teams a centralized way to understand cloud risk, detect misconfigurations, assess compliance posture, and act on prioritized remediation guidance.

Built for visibility, governance, and continuous cloud risk reduction, AltorCloud helps organizations move beyond one-time cloud assessments and toward ongoing security posture management.

Why AltorCloud Matters

Cloud security risk is rarely caused by a single issue. It often comes from configuration drift, excessive permissions, inconsistent controls, unmonitored assets, and gaps between cloud provider tooling and business risk priorities.

AltorCloud helps teams continuously monitor for cloud misconfigurations, evaluate posture against security and compliance frameworks, and translate cloud risk into actionable remediation steps. It supports visibility across multi-cloud environments and gives organizations a clearer way to manage cloud security at scale.

AltorCloud Helps Teams

• Continuously monitor cloud environments across AWS, Azure, and GCP
• Identify misconfigurations, excessive permissions, and cloud security risks
• Assess posture against CIS Benchmarks and compliance policies
• Centralize visibility across multi-cloud assets and accounts
• Prioritize remediation based on risk and business impact
• Support governance, reporting, and ongoing cloud security management
• Move from periodic cloud reviews to continuous posture monitoring

Best Fit

AltorCloud is built for security teams, cloud infrastructure teams, compliance leaders, and organizations managing multi-cloud environments. It is especially valuable for teams that need continuous visibility into cloud security posture, compliance alignment, and actionable remediation guidance across AWS, Azure, and GCP.

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