Beagle Security, Detectify, Invicti and StackHawk

About Detectify

Detectify is an application security platform that combines Dynamic Application Security Testing (DAST) and Attack Surface Management (ASM). Detectify says it discovers a full attack surface, including assets an organization may not know exist, and tests every asset for exploitable vulnerabilities using payload-based techniques developed by more than 400 ethical hackers.

Detectify describes a problem with legacy application security: scanners only test the assets they are told about, so shadow IT stays invisible. Detectify also says fingerprint-based checks flag versions instead of real exploitability. Detectify positions its platform as SaaS-only with nothing to install.^[7][14]

Every Detectify product starts with Discovery, a single inventory of assets that becomes the source of truth for every scan, integration and finding across the platform. Surface Monitoring finds the domains, subdomains, IPs and open ports a customer has on the internet, and keeps testing them with payload-based tests. Surface Monitoring also checks subdomains for takeover every 8 hours.^[7][8]

Application Scanning crawls and fuzzes custom web apps, including single-page apps and the parts behind login. API Scanning takes an OpenAPI spec or GraphQL schema and tests every operation in it with payload-based tests, including prompt injection on AI endpoints. Both use the same fuzzing engine.^[9][10]

Detectify also offers tools for AI. Alfred AI turns published CVEs into payload-based tests, and a Detectify security researcher reviews each one before it goes live. The MCP Server lets Claude Code, Cursor and other AI tools query Detectify findings, scans and assets in plain language, and it is included in every Detectify plan.^[14]

Detectify says its research comes from Crowdsource, a community of 400+ ethical hackers, and that 99% of the vulnerabilities it finds have no CVE assigned, based on its own data over the past three years. Detectify says it is used by more than 2,100 organizations, from high-growth SaaS companies to large enterprises and public institutions.^{[7][8][9][10][11][12][14][15][16]}

About Invicti

Invicti sells an application security platform that combines DAST, SAST, SCA, IaC, Secrets, and Container testing in one platform. Invicti consolidates security findings into a single view and applies runtime reachability, exploitability, and business context to prioritize the risks that matter. Invicti says scanners flood teams with alerts and that hours are wasted chasing false positives when there is no runtime prioritization. Invicti says teams lack visibility into who owns critical vulnerabilities, remediation timelines, and whether fixes actually worked.^[4][6]

Invicti DAST scans running web applications and APIs and validates findings with proof-based scanning. Invicti's proof-based scanning confirms many common vulnerabilities automatically by exploiting them safely and showing you the proof. Invicti offers SaaS, on-prem, and hybrid options for deployment. Invicti fits into the CI/CD pipeline with native integrations for tools like Jenkins, GitHub, and Azure. Invicti lists 110+ out-of-the-box integrations and an open-source CLI. Invicti says it is built for enterprise scale and scans complex web applications.^[1][5]

Invicti provides built-in static application security testing (SAST) as part of the Invicti AppSec Platform. Invicti SAST uses techniques including taint analysis, rule exclusions, and sanitizer allowlists to reduce noise during static analysis. Invicti says validated vulnerabilities can be traced back to the exact file and line of code. Invicti integrates application security findings with developer and collaboration tools such as Jira, GitHub, GitLab, Azure Boards, Slack, and Microsoft Teams.^[1][7]

Invicti offers static and dynamic SCA as a fully integrated capability within the Invicti Application Security Platform. Invicti SCA detects known vulnerabilities (CVE-based) in open-source libraries and flags risky licenses for compliance. Invicti traces vulnerabilities through full dependency chains, including transitive dependencies. Invicti generates SBOMs in CycloneDX, SPDX, and other formats. Invicti says its AI-BOM shows every AI component in the supply chain.^[8]

Invicti says its IaC checks detect misconfigurations early, enforce security policies in CI/CD, and track IaC risk alongside code and runtime findings. Invicti finds and surfaces exposed API keys, passwords, encryption keys, and tokens. Invicti integrates container scanning with SCA, DAST, and CI/CD workflows. Invicti supports scanning container images through registries and Kubernetes clusters. Invicti supports generating and scanning container SBOMs in standard formats including CycloneDX and SPDX.^[9]

Invicti says it can discover and test REST, SOAP, GraphQL, and complex authorization flaws like BOLA and BFLA. Invicti tests API authentication with support for tokens, cookies, and OAuth2, and catches BOLA, BFLA, and unauthenticated API access.^[4][10]

Invicti describes Octo as a hybrid agentic pentester combining scanners and AI for audit-ready reports in under 24 hours for $500 or less. Invicti uses a centralized AI coordinator that spins up focused agents, each specialized in vulnerability categories such as SQL injection, remote code execution, cross-site scripting, and authentication flaws. Invicti says agents work with Invicti DAST to minimize token usage and increase efficiency.^[6]

Invicti Consultant is a special single-user license for Invicti Standard. Invicti says the Consultant user can run a maximum of 3 concurrent scans. Invicti Team and Enterprise has a full-featured REST API. For healthcare, Invicti says it helps protect patient data and prove HIPAA compliance with built-in reporting.^{[1][4][6][10][11]}

About StackHawk

StackHawk sells two plans, Wingman and StackHawk Scale, that run on HawkScan, a runtime testing engine for running applications. StackHawk calls itself the security feedback layer for coding agents. StackHawk integrates into the agent loop to test the running app. The same AI coding agent that builds a feature calls StackHawk to scan the app, fix issues, and verify them before a push. StackHawk was founded in 2019 by Joni Klippert and Scott Gerlach. StackHawk is headquartered in Denver, Colorado. In July 2019 the StackHawk founding team came together to fix a problem: application security testing ran quarterly while software shipped daily.^[1][3]

Wingman runs inside the coding agent that engineers already use, including Claude Code, Cursor, GitHub Copilot, Codex, and Antigravity. When the agent finishes a feature, Wingman tests the running app with HawkScan, hands the findings to the same agent, and rescans after the fix. Wingman auto-configures and boots the app, then tests it the way an attacker would. Wingman finds and fixes vulnerabilities in the same session, then rescans to verify the fix held. StackHawk provides a clean signal for CI and an attestation tied to each commit.^[16]

StackHawk Scale is the plan for security teams covering every app in the organization. StackHawk Scale adds attack surface discovery and program reporting for security teams. StackHawk Scale is priced by team, not by usage, and unlimited apps and unlimited agentic scans are included.^[16]

HawkScan tests the running application with real requests. StackHawk scans run as a CLI or Docker container that spins up and shuts down per scan. StackHawk scan configuration is YAML config-as-code, versioned alongside the app. StackHawk scans execute directly in GitHub Actions, GitLab, Jenkins, and CircleCI. StackHawk runs scans with no vendor cloud and no traffic traversing the internet to reach the apps. StackHawk supports incremental testing on code changes rather than full-app rescans. StackHawk delivers results in PR comments, Slack, Jira, and Datadog.^[7][17]

StackHawk tests REST, GraphQL, SOAP, and gRPC APIs with real requests, auth flows, and attack scenarios. StackHawk tests LLM interfaces for prompt injection, data leakage, and unvalidated model outputs at runtime. StackHawk coverage runs from SQL injection, cross-site scripting, and remote code execution to sensitive data exposure, broken access control, and LLM risks such as prompt injection.^[8][17]

The StackHawk platform extends the DAST testing engine with visibility from code and oversight across an AppSec program. Once a source code management system is integrated, StackHawk maps every API and app component from the code, including shadow APIs and AI/LLM interfaces. StackHawk uses risk insights from code to focus testing on the repositories and applications that carry the most exposure. StackHawk has native connections to GitHub, GitLab, Jira, Slack, Datadog, and SIEM and ticketing tools. StackHawk has native integrations with Jira, ServiceNow, Slack, and Microsoft Teams.^{[2][5][9][17][18]}

With the HawkScan skill, the agent runs security tests against the running app, and vulnerabilities are identified, remediated, and verified post-commit and pre-PR. StackHawk agent skills install into Cursor via .cursor/rules/. StackHawk agent skills ship as a Codex plugin, and after install Codex can configure scans, test the local app, and remediate findings. Copilot discovers StackHawk skills from a repository.^[1][3]

StackHawk names engineering teams shipping with AI coding agents among the teams that use it. StackHawk serves regulated and high-volume industries: financial services, health tech, insurance, media, transportation, education technology, and cloud analytics. StackHawk has SOC 2 Type II certification and role-based access control. StackHawk reached general availability in September 2020. StackHawk raised a $10 million Series A led by Sapphire Ventures in October 2020 and a $20.7 million Series B co-led by Sapphire and Costanoa Ventures in May 2022. In September 2026 StackHawk launched Wingman, which moves the find, fix, and verify loop inside the coding agent.^{[3][4][5][6][7][8][9][11][16][17][18]}