AI Security & AI Governance Use Cases

See It. Test It. Guard It. Govern It. Prove It.

Seven use cases, one Runtime AI Trust Platform. From the first AI application you discover to the last framework you have to prove compliance against, Cygeniq covers the full lifecycle of enterprise AI security and governance.

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Security for AI

Discovery, red teaming and runtime guardrails, powered by Hexashield AI.

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Governance for AI

Posture, risk lifecycle, accountability and compliance, powered by GRCortex AI.

One Platform, One Lifecycle, Seven Use Cases

An AI application is never just a model, and securing it is never just one task. A single AI application can sit on application code, MCP servers, one or more LLMs, databases, RAG sources and policy documents. Securing and governing it means finding it, testing it, watching it in production, scoring its risk in business terms, proving who owns it, and mapping it to every framework that applies. Cygeniq runs that whole lifecycle on one platform, powered by Hexashield AI and GRCortex AI, so each use case feeds the next instead of standing alone.

The Lifecycle

From Discovery to Proof: How the Seven Use Cases Connect

Each stage produces the evidence the next stage needs.

Discover

Find every AI application and build its AI-BOM, so nothing is tested, governed or reported on blind.

Test

Red team the AI continuously, so weaknesses are found before real users or attackers find them.

Guard

Watch AI in production, so risky behavior is caught live and fed back into the next test cycle.

Score

Turn findings into residual risk in business terms, so effort goes where the impact is highest.

Govern

Give leadership visibility, consistent governance and clear accountability for every AI application.

Prove

Map controls once across every framework in scope, so one assessment produces evidence everywhere.

Security for AI: Find It, Test It, Guard It

Discover the AI you run, attack it before someone else does, then keep watching it once it is live.

Hexashield AI

Powers this track

SEC

Discover. Test. Guard.

Three connected use cases

01 You can't secure AI you can't see.

AI Discovery and the AI-BOM

Discover every AI application through connectors, build an AI Bill of Materials for each one, and check every component against quality gates. Shadow AI is detected in one pass.

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02 Attack your AI before someone else does.

Continuous AI Red Teaming

Autonomous, continuous adversarial testing across your models, RAG pipelines and agentic systems, drawing on a library of more than 400,000 scenarios mapped to OWASP and MITRE ATLAS.

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03 Guardrails that watch your AI in production.

Runtime Guardrails

Monitor, score and alert on risky AI behavior in real time, with root-cause analysis that feeds straight back into continuous red teaming, closing the loop.

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Governance for AI: Score It, Govern It, Prove It

Turn security findings into business risk, board-ready visibility and audit-ready compliance.

04 Posture management, built for AI.

AI Security Posture Management

CSPM secures your cloud. DSPM secures your data. AI-SPM secures your models, agents and pipelines, with a continuous AI inventory and a live, residual-risk-based posture view.

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05 From discovery to residual risk.

AI Risk Management Lifecycle

Quantify AI risk the way your business actually experiences it. Impact is scored across five dimensions, financial, reputational, regulatory, operational and human.

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06 Know who governs it and who answers.

Governing AI with Visibility

Visibility into the full AI ecosystem, governance through risk and control libraries, and accountability through clear ownership and tracked mitigation.

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07 Legacy GRC was not built for AI.

Moving Beyond Legacy Compliance

Control assessment on a graph-based engine. One failed requirement traces instantly to every control, policy, framework and risk it affects.

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Stakeholder Outcomes

Seven Use Cases, One Answer for Every Role

Consolidated from all seven use cases: the same platform, read differently by each stakeholder.

CISOA complete picture of the AI attack surface, and continuous assurance that production AI is being tested.

Board and Executive LeadershipA clear, current view of AI risk instead of a lagging quarterly summary.

CRO and Risk OfficersQuantified, business-relevant AI risk, with residual risk and mitigation tracked per application.

AI Governance OfficersA consistent operating model and an approved-versus-unapproved AI register for every AI project.

Compliance Officers and Internal AuditAutomated, cross-framework assessments and a traceable record of how each risk was assessed.

CIO and Enterprise ArchitectsA clear map of how AI applications are built and connected.

SOC and Security OperationsReal-time alerts for AI-specific threats, and shadow AI surfaced without manual hunting.

AI / ML Engineering and Platform TeamsActionable findings on the model and its tools before and after release, and visibility in production.

Get Started

See Your Use Case Run Against Your Own AI Estate

Book a walkthrough of the Cygeniq Runtime AI Trust Platform: an AI bill of materials built from your own systems, attacker-style testing against your own models and agents, runtime guardrails, residual risk scored in business terms, and audit-ready evidence across every framework in scope.

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AI Trust Infrastructure for secure, governed and accountable enterprise AI

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