SpartanX

SpartanX was built from the ground up as an autonomous adversary: an ontology-driven knowledge graph, expert-level agent instructions, and a coordinated swarm that executes at machine speed, under human oversight and guardrails.

Autonomous Exposure Management (AEM) is the autonomous evolution of exposure validation. Instead of proving one surface at one moment, an AEM platform runs the whole exposure loop, continuously. Here is what the category is, where it came from, and why SpartanX is the first.

SpartanX Academy teaches AI threat prevention, prompt engineering, security automation, bug bounty hunting, and web application penetration testing, with a free tier and premium options.

SpartanX supports the offensive-testing mandates US financial regulators now set: PCI DSS v4.x, NYDFS, and the GLBA Safeguards Rule, plus SOX and DORA for EU-exposed firms. Continuous, internal and external, exploit-validated, with audit-ready evidence.

The NYDFS 23 NYCRR Part 500 regulation requires annual penetration testing from inside and outside an organization’s boundaries, certified by senior leadership. Traditional pentesting struggles to meet this requirement, while AEM supports compliance.

PCI DSS v4.x requires internal and external penetration testing annually and after every significant change, plus segmentation testing. Here is why an annual manual pentest cannot keep up, and how Autonomous Exposure Management (AEM) supports Requirement 11.4.

SpartanX Labs researches offensive security and publishes independently tested, exploit-validated findings.

The FTC’s GLBA Safeguards Rule allows US financial institutions to choose between continuous monitoring or annual penetration tests plus semiannual vulnerability assessments. AEM supports the continuous monitoring path.

SpartanX announced the close of its seed round led by Venture Guides, established its new Global Headquarters in Boston, and appointed a new President and COO to scale go-to-market operations.

SpartanX today announced the launch of its fully autonomous red teaming platform, engineered from the ground up to deliver continuous, exploit-validated security testing at a scale and depth unmatched in the market.

SpartanX today launched NodeX, the new Internal Attack Capability, and Targeted Attack Validation, becoming the world's only full-stack AI-powered autonomous red teaming platform across the external and internal attack surface. Every finding ships exploit-validated.

Join SpartanX as a Business Development Representative. Be the tip of the spear, own inbound lead qualification and outbound prospecting to build pipeline and drive revenue growth in offensive security.

SpartanX hires engineers, security experts, and innovators to advance AI-powered autonomous red teaming.

SpartanX seeks a Senior AI Engineer to develop the intelligence and core logic of its AI-driven offensive security platform using frameworks like LangChain and LangGraph.

SpartanX hires a Senior Backend Developer to build its AI-driven security platform using Python, Django, PostgreSQL, and Neo4j.

SpartanX simulates attackers chaining low-severity vulnerabilities across an organization’s surface at speed, matching their tactics with continuous internal and external testing and exploit validation.

The page compares SpartanX to Cobalt in continuous testing against changes versus Cobalt’s autonomous and human-reviewed pentesting model, detailing feature differences.

The page compares SpartanX to Cymulate in application logic exploit chains and exposure validation, highlighting differences in feature sets.

The page compares SpartanX to Hadrian (Agentic External Attack Surface Management), emphasizing SpartanX’s internal perimeter testing via NodeX, while Hadrian’s Atlas and Nova focus on external attack surfaces.

SpartanX develops an autonomous adversary for regulated enterprises to test their defenses as real attackers would. The page introduces the founders, leadership, and team behind AEM.

The page provides contact options for demos, partnerships, and information about SpartanX’s AI-powered red teaming platform.

The first Autonomous Exposure Management platform. A continuous adversary that finds and proves the ways in across your whole attack surface, inside and out, under your control.

SpartanX’s privacy policy explains how it collects, uses, and protects personal information, emphasizing data security.

SpartanX provides terms of service for its AI security platform, including service agreements, user responsibilities, and legal terms.