Securiti AI

Securiti AI

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Securiti AI is a unified data and AI security, privacy, and governance platform for enterprises deploying AI at scale.

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Securiti AI
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📋 About Securiti AI

Securiti AI provides a unified Data Command Center that helps enterprises discover, classify, protect, and govern sensitive data across clouds, SaaS apps, and AI systems. As organizations rush to adopt generative AI, Securiti AI extends traditional data security and privacy controls into the AI layer — mapping which models train on which data, monitoring prompts and responses for risk, and enforcing policies that protect customers, employees, and intellectual property.

Key Features of Securiti AI

1

Data Discovery and Classification

Securiti AI scans cloud data stores, warehouses, SaaS apps, and on-premise sources to identify and classify sensitive data including PII, PHI, PCI, and proprietary IP. The classification layer feeds every other module — privacy, security, governance, and AI risk. This is the foundation of modern data programs.

2

AI Security Posture Management

The platform maps which AI models are deployed where, which data sources they train on, and which users can invoke them. Security teams gain visibility and control over AI rollouts that often sprawl faster than governance programs. Risk scores prioritize remediation across fleets of models and agents.

3

Privacy Rights Automation

Securiti AI automates DSARs, consent management, and data retention workflows across all connected systems. What used to require teams of privacy engineers becomes a streamlined workflow with audit trails. This keeps companies compliant across GDPR, CCPA, and emerging state-level privacy laws.

4

Prompt and Response Monitoring

The platform inspects LLM prompts and responses for policy violations — sensitive data leakage, unsafe outputs, prompt injections — and blocks or redacts as configured. This is essential for enterprises rolling out Copilots and internal AI agents without exposing regulated data.

5

Data Access Governance

Securiti AI enforces least-privilege access to data across systems and surfaces stale or excessive permissions. Integration with identity providers and cloud IAM makes remediation straightforward. This is a major control for breach risk reduction and audit readiness.

6

AI Model Risk Assessments

Securiti AI supports structured risk assessments required by frameworks like the EU AI Act and NIST AI RMF. Templates, automated evidence collection, and board-ready reports reduce the effort of each assessment significantly. Regulators increasingly expect this rigor for production AI.

7

Unified Data and AI Graph

All assets — data stores, pipelines, models, users, policies — appear in a single graph that lets teams reason across silos. Impact analysis, incident response, and regulatory inquiries all benefit from this unified view. It replaces spreadsheets and disconnected tools with a live map.

🎯 Use Cases for Securiti AI

Global 2000 enterprises use Securiti AI to inventory and govern the sprawl of AI copilots and agents adopted across business units, avoiding shadow AI risk as generative AI accelerates. Privacy teams automate DSARs, consent, and retention workflows across many systems, meeting GDPR and CCPA response SLAs without scaling headcount. Security teams reduce breach exposure by remediating excessive data access, identifying sensitive data in unexpected places, and enforcing policies on LLM prompts and responses. Compliance teams run AI model risk assessments aligned with the EU AI Act, NIST AI RMF, and industry standards, generating the evidence regulators and auditors increasingly demand. Financial institutions and healthcare systems use Securiti AI to pass audits with a single source of truth for data classification, access, and AI governance. M&A teams use the data graph to quickly assess data and AI risk in acquisition targets, avoiding inheriting compliance debt or breach exposure.

⚖️ Securiti AI Pros & Cons

Advantages

  • Unified coverage across data, privacy, and AI governance
  • Automates DSAR and consent at enterprise scale
  • Purpose-built for emerging AI regulations
  • Integrates with major clouds and LLM providers
  • Strong audit and evidence-collection workflows

Drawbacks

  • Enterprise-only pricing and deployment timelines
  • Broad capability surface requires significant onboarding
  • Requires cross-functional buy-in to realize value
  • Not appropriate for small businesses

📖 How to Use Securiti AI

1

Request a demo at securiti.ai with your cloud, data, and AI environment details.

2

Work with Securiti's delivery team to scope priority modules — privacy, AI governance, or security.

3

Connect cloud accounts, data warehouses, SaaS apps, and LLM providers for discovery.

4

Review the initial data and AI graph, then configure classification, policies, and risk rules.

5

Operationalize workflows for DSARs, access reviews, and AI risk assessments.

6

Monitor dashboards and extend coverage to additional systems as the program matures.

Securiti AI FAQ

Securiti AI is a unified data and AI security, privacy, and governance platform that helps enterprises discover sensitive data, govern AI systems, and meet regulatory requirements.

Yes. Securiti AI includes AI security posture management, prompt and response monitoring, and model risk assessments aligned with frameworks like the EU AI Act and NIST AI RMF.

Securiti AI supports GDPR, CCPA, HIPAA, PCI DSS, SOX, and many emerging privacy and AI regulations. Automation accelerates DSARs, consent management, and risk assessments for each.

Securiti AI complements security tools by providing a data and AI-centric command center. It integrates with DLP, SIEM, and identity systems rather than replacing them wholesale.

No. Securiti AI is an enterprise platform delivered through tailored engagements given the scope of data and regulatory coverage involved.

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