Raising the bar for trust in agentic AI: Ema's Integrated Management System

Enterprise buyers need more than features—they need confidence that AI is designed, operated, and improved under a disciplined governance program. Ema gives your risk, security, privacy, and compliance teams one coherent framework that governs how we design, build, deploy, monitor, and retire agentic AI capabilities. The result is assurance you can verify: policies are codified, controls are implemented, evidence is collected continuously, and gaps are driven to closure through formal corrective actions.

Our IMS translates standards into daily practice: secure-by-default architectures, privacy-by-design data flows, cloud-posture guardrails, AI lifecycle controls (including HITL oversight), and continuous control monitoring. It also clarifies shared responsibility in the cloud and provides audit-ready artifacts that map directly to your internal control library—reducing ambiguity, review cycles, and integration risk.

What you get immediately

• Lower vendor risk. Independent audits now span security, privacy, cloud, and AI governance, reducing residual risk and simplifying executive sign-off.
• Faster due diligence. Control mappings (IMS → SOC 2/ISO/GDPR/NIST) and standardized evidence bundles accelerate security questionnaires and procurement.
• Operational confidence. Controls aren’t just documented—they’re implemented, measured, and continuously improved via internal audits, KPIs, and corrective-action tracking.
• Clear accountability. Defined owners, review cadences, and a cross-functional governance committee ensure risks are identified early and remediated on schedule.
• Transparency on demand. Current certificates, policies, whitepapers, and diagrams are available through our Trust Center; deeper evidence is available under NDA.
• Future-proofing. IMS alignment with emerging AI regulations (e.g., EU AI Act) and industry frameworks means your compliance posture strengthens as requirements evolve.

ISO 27001 — Information Security Management System (ISMS)

The foundation for our security program: risk assessment, policy governance, asset management, vulnerability management, incident response, and continual improvement.In practice: Encryption in transit (TLS 1.2+), encryption at rest (AES-256), strict RBAC with audit logging, change control, and a living risk register tied to remediation SLAs.

ISO 42001 — AI Management System (AIMS)

A formal management system for AI—governing data sourcing, model selection, testing, deployment, monitoring, human oversight, and accountability.In practice: Human-in-the-loop gates for high-impact actions, prompt-injection testing, bias and safety monitoring, and documented AI lifecycle controls that align with emerging regulation (including EU AI Act readiness).

ISO 27701 — Privacy Information Management (PIMS)

A privacy extension to 27001 that operationalizes GDPR-class principles—purpose limitation, minimization, consent/rights handling, and processor obligations.In practice: Configurable data-minimization pipelines, DSAR support, retention & deletion workflows, and processor/sub-processor governance with transparent records.

ISO 27017 — Cloud Security Controls

Guidance for secure use and provision of cloud services, clarifying shared responsibilities and cloud-specific controls.In practice: Dedicated VPCs, network segmentation, hardened baselines, workload isolation, and continuous posture management (CNAPP/CSPM) with misconfiguration detection.

• Secure architecture: Cloudflare Enterprise (WAF/DDoS), private origins, deep packet inspection (IDS) north-south and east-west.
• Continuous monitoring: Centralized logging and analytics with automated playbooks (SOAR) for rapid, repeatable incident response.
• Data protection & privacy: AES-256 at rest, TLS 1.2+ in transit, tenant isolation by design, optional single-tenant deployment, configurable PII redaction, and contractual retention/deletion.
• Secure SDLC: CI/CD-embedded SAST and secrets detection, software composition analysis (SCA), DAST and VAPT cadence, and tracked remediation aligned with industry-standard SLAs.
• AI safety controls: Guardrails, policy checks, anomaly/bias monitoring, approval flows for high-risk actions, and comprehensive audit trails of agent decisions.
• Internal Governance & IMS Audits — A cross-functional Security & Governance Committee (Security, Privacy, Compliance, Engineering, Product) oversees risk, metrics, and exceptions; we conduct periodic internal audits and control testing against our Integrated Management System (ISO 27001/42001/27701/27017), with corrective actions tracked to closure.
• IT Security by Default (MFA & Least Privilege) — All admin, CI/CD, and cloud-console access is gated by phishing-resistant MFA and device posture checks; RBAC enforces the principle of least privilege with regular access reviews and just-in-time elevation for sensitive operations.

• Shorter reviews: Our IMS bundles the evidence they need across security, privacy, cloud, and AI governance—reducing back-and-forth.
• Clear control mappings: Artifacts align to common frameworks and questionnaire formats, helping you demonstrate compliance to your own auditors.
• Confidence at scale: As you expand use-cases, the same audited controls extend consistently across new agents, data sources, and integrations.

Agentic AI can only be transformative if it is governed as rigorously as it is engineered. By integrating ISO 27001, ISO 42001, ISO 27701, and ISO 27017 into a single audited program, Ema delivers the blend of security, privacy, cloud discipline, and AI governance that enterprises expect—and that end users deserve.

If you’re evaluating AI partners, choose the one that treats trust as a product feature. That’s Ema. More information available in our Trust Center.