Shadowspec
A detect-first security workspace for defense contractors that records authorized outbound observations, proposes AI-service and possible sensitive-data exposure classifications, compares public authorization evidence, routes policy decisions to owners, and assembles reviewable control evidence without claiming CMMC approval.
Defense contractors may not know which web-based AI services employees or software are contacting, from which managed assets, or under which approved use. Shadowspec joins authorized network observations, asset and identity context, public service evidence, policy, investigation, and response. Coverage is inherently incomplete across encryption, personal devices, tunneled traffic, offline tools, and unobserved routes. An endpoint match does not prove that controlled information was sent, that a user violated policy, or that a service is suitable. Public authorization listing, organizational approval, intended use, data boundary, observed connection, candidate exposure, analyst finding, block decision, exception, assessor evidence, assessment result, incident, and correction remain separate.
A security, compliance, IT, or program-protection lead at a defense contractor with defined CMMC scope and authorized network visibility; exact company size and budget remain unresolved.
The source identifies current CMMC pressure, but broad market-size and contractor-count claims are not needed to establish timing.
Endpoint evidence, service registries, policy evaluation, and exports are software-driven once coverage and rules are configured.
Four cross-references, twelve inbound connections, and seven direct connections provide broad support while the grounded score remains five.
Four cross-references, twelve inbound and seven direct links, confirmed shadow-AI and data-loss products, public authorization listings, and a missing CMMC-shaped workflow support a timely software opportunity.
The buyer contract is incomplete, network coverage cannot prove data exposure, public authorization data is only partially machine-verifiable, blocking can disrupt work, evidence bundles do not establish control satisfaction, and incumbents can add compliance language.
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