Security and Privacy, by Design.
Aigenttra is designed around the principle that security is not a feature added at the end — it is an architectural constraint applied from the beginning. Every design decision prioritises your data's security, privacy, and integrity.
Security Is Not a Feature. It Is Our Foundation.
We build systems that assume breach and demand continuous verification. Our architecture is designed to protect your data at every layer.
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Zero Trust
Never trust, always verify. Every request authenticated and authorised regardless of network origin.
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Defence in Depth
Multiple security layers so that failure of one control does not expose your data.
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Secure by Design
Security requirements built into architecture from day one, not retrofitted.
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Least Privilege
Every component, user, and process receives only the permissions it needs — nothing more.
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Continuous Monitoring
Automated detection and alerting across all systems — designed to surface anomalies early so they can be investigated and contained before they escalate.
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Evolving Security Posture
Security architecture is treated as a continuously updated discipline — not a fixed set of controls. Threat models are reviewed and updated as the threat landscape changes.
Eight Pillars of Enterprise Protection
Our security controls are mapped to enterprise security frameworks to provide comprehensive defence in depth — applied at every layer of the architecture.
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Identity & Access Management
Designed to support multi-factor authentication, SSO integration, role-based access control, and session management — for every user and every service account.
Architecture Design -
Encryption
AES-256 encryption designed for data at rest. TLS 1.3 for all data in transit. Sensitive data handled with explicit access controls at every layer.
Architecture Design -
Threat Detection
Anomaly detection and security event monitoring designed into the platform architecture — with alerting pathways that surface signals requiring investigation.
Architecture Design -
Infrastructure Protection
Web Application Firewall, DDoS mitigation, and network segmentation designed across all environments as first-class infrastructure requirements.
Architecture Design -
Vulnerability Management
Automated dependency scanning, a structured penetration testing programme, and a responsible disclosure policy — all part of the development lifecycle.
Architecture Design -
Backup & Recovery
Backup architecture designed for cross-region replication and documented restore procedures — with recovery tested against defined objectives.
Architecture Design -
Disaster Recovery
Recovery time and recovery point objectives are defined, documented in runbooks, and designed to be validated through regular testing — not assumed.
Architecture Design -
Network Security
Private VPC architecture, IP allowlisting, mutual TLS between services, and no public database exposure — applied as network design constraints, not retrofit controls.
Architecture Design
Your Data. Your Control.
Aigenttra is designed on the principle that your data belongs to you. We process it to provide the service — nothing more. Data is not used for any purpose beyond that, and never sold or shared with third parties.
The platform is built to support data residency requirements — keeping your data within your chosen jurisdiction. Data Processing Agreements are being designed as a standard enterprise commitment for platform launch.
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Data Ownership
You own your data. We are custodians only.
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Minimal Collection
We collect only what is necessary to provide the service.
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Transparent Processing
Every data processing activity is documented and auditable.
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Organisational Control
The platform is designed to support data export, deletion, and restriction — giving organisations meaningful control over their data throughout the relationship.
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Responsible Handling
Industry-standard encryption, access controls, and retention policies.
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Privacy by Architecture
Privacy requirements designed in from day one — not added later.
How Your Data Is Handled
- You send a request
- Aigenttra processes it
- Response delivered
- No data sold or shared
Our Compliance Journey
We are committed to achieving industry certifications as we grow. Below is our current status and roadmap — displayed transparently.
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In Progress
SOC 2 Type II
Independent audit of security, availability, and confidentiality controls.
Target: Q4 2026
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Planned
ISO 27001
International information security management system standard.
Target: Q2 2027
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Architecture Ready
GDPR
EU data protection regulation. The platform architecture is designed to support GDPR compliance obligations for adopting organisations.
Data residency designed into platform; DPA framework planned for launch
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Architecture Ready
CCPA
California consumer privacy rights. Data export, deletion, and opt-out designed into the platform architecture.
US privacy controls designed into platform architecture
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Planned
PCI-DSS
Payment card industry data security standard.
Under evaluation; timeline to be confirmed
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Architecture Ready
HIPAA-Ready
Technical architecture supports healthcare data handling requirements — designed with HIPAA controls as explicit architectural requirements.
BAA framework planned for general availability release
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Planned
FedRAMP
US federal government cloud security framework.
Under evaluation
Compliance status reflects current architectural readiness and active certification efforts. Certifications marked "In Progress" or "Planned" are not yet achieved. Do not rely on this page as a compliance attestation.
Built to Never Go Down
The platform infrastructure is architected for resilience from the ground up — designed to support the uptime requirements of enterprise workloads.
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High Availability Architecture
Designed for multi-region deployment with automatic failover — eliminating single points of failure as an architectural principle, not a retrofit.
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Resilient Storage Design
Cross-region data replication designed to maximise durability — with recovery point objectives defined and validated through testing.
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Elastic Scaling
Designed to scale automatically with load — reducing the operational overhead of capacity planning for enterprise workloads during peak demand.
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Continuous Observability
Observability built across all services with automated alerting — designed to surface anomalies before they affect end users or their data.
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Documented Failover Procedures
Failover procedures are documented, versioned, and designed to be tested regularly — validating recovery time and recovery point objectives under realistic conditions.
AI You Can Trust
AI that is powerful, transparent, and accountable to the people it serves.
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Transparency
We build AI systems that can explain what they do, how they reach conclusions, and what data they use — with no black boxes in decision-critical paths.
Learn More -
Human Oversight
AI is designed to augment human judgment — not replace it. Every critical decision path is built with a human escalation point.
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Bias Awareness
Bias awareness is an architectural constraint — monitoring approaches and mitigation processes are built into the AI development lifecycle, not assessed after deployment.
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Data Minimisation
AI models are designed to operate on the minimum data necessary for the task — with no unnecessary retention of personal information beyond what the service requires.
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Safety by Design
Safety constraints, rate limits, guardrails, and human escalation paths are designed into every AI model before deployment — not added reactively.
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Evolving Practice
Responsible AI is a discipline that matures alongside the field. We commit to reviewing and updating our AI ethics framework as standards develop and our understanding deepens.
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Named Accountability
AI ethics accountability is a named, individual responsibility at Aigenttra — not distributed across teams in a way that makes it no one's job. The framework for handling AI ethics concerns is defined and built into our processes.
Prepared for Every Scenario
A structured, documented incident response process — designed to minimise impact and restore service as efficiently as the situation allows.
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Detect
Automated monitoring is designed to surface anomalies across all systems — identifying signals that require investigation as early as possible.
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Investigate
Trained incident responders triage and classify each incident according to a documented severity framework — ensuring the appropriate level of response is engaged.
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Contain
Affected systems are isolated promptly to limit blast radius and prevent further spread — containment is the immediate priority before investigation continues.
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Resolve
Root cause is identified and remediated. Services are restored only when integrity has been confirmed — not before.
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Review
A structured post-incident review documents the timeline, root cause, contributing factors, and lessons — completed within a defined window after resolution.
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Improve
Controls are updated, runbooks revised, and mitigations validated before the incident is formally closed — ensuring each event strengthens the posture.
Defined Process
Detection & Classification Framework
Structured SLA
Enterprise Incident Response Target
Our Security Commitments
The principles and architectural commitments that define how Aigenttra approaches security, privacy, and AI governance.
- AES-256 Encryption Standard At rest and in transit
- Zero Trust Security Architecture Every request verified by design
- Continuous Security Monitoring Automated detection by architecture
- Structured Incident Response 6-phase documented process
- Never Data Sold to Third Parties Foundational commitment
- 7+ Compliance Frameworks Architecture designed to support
- Least Privilege Access Control Model Role-based by design
- Human Oversight AI Governance Principle At every decision boundary