Private AI for cybersecurity decisions | Starkhound
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Use cases · Artificial Intelligence

Private artificial intelligence for cybersecurity decision-making

Starkhound's AI assists finding analysis inside the organization's own instance. The security team retains the decision.

Privacy

No data leaves the platform

Starkhound's artificial intelligence is part of the platform. By default, assisted analysis does not depend on any external service.

Inside the organization's own instance

The AI runs inside the organization's instance, alongside its data. Findings, assets and reports are not sent elsewhere to be analyzed.

No external services by default

No third-party AI provider is involved unless the organization explicitly enables that connection.

Own data, isolated

Each company works only with its own data, in its own database. One company's information is never used to assist another.

Capabilities

Assistance at every step of the analysis

The AI reduces repetitive analysis work and adds context to each finding, without replacing the security team's judgment.

Findings cross-referenced with compliance controls

Each finding is automatically related to the controls of the applicable standards, such as OWASP ASVS or a custom standard loaded from Excel, even when they share no CWE. It complements the CWE link and the team's manual links.

Similar findings and search by meaning

Locates equivalent findings already documented and enables search by meaning, not only by exact words, including across findings written in different languages.

From recurring findings to templates

Detects vulnerabilities written again and again that the library does not yet cover, and proposes a template draft, cleared of client data, for review before it is saved.

MITRE ATT&CK technique suggestions

Proposes the techniques the team itself has already declared in equivalent findings. Without previous classifications there is no proposal, and every suggestion requires confirmation.

Human control

The AI proposes; the team validates

Responsibility for classification, prioritization and client communication remains with the security team.

Explicit confirmation

No suggestion changes a classification, a template or a finding without confirmation from a member of the team.

Review before publishing

Nothing reaches the client without review: publishing findings and reports is always an explicit action by the team.

Assisted imports as drafts

Findings obtained with AI assistance enter as drafts and follow the same review flow as any other finding.

Optional connections

Optional connection to external AI providers and AI assistants

External connections are the organization's decision: none is active by default and all are configured explicitly.

External AI providers

The organization chooses the provider, external or its own model deployed on its infrastructure, and connects it with its own key. It is used to turn PDF reports into draft findings, and every use is logged.

Disabled by default

AI assistants and agents

Connection of the platform with AI assistants and agents through the MCP protocol (Model Context Protocol), with access keys managed by the organization itself.

Advanced plan

Third-party autonomous pentesting

Import of results from third-party autonomous pentesting solutions as findings. The platform never launches or controls those tests: it centralizes their result.

See integrations

Private artificial intelligence in service of the decision

Assistance in the analysis, with the data inside the platform and the decision with the security team.