Our development process integrates automated static and dynamic code analysis tools to identify security vulnerabilities early. We perform regular code reviews that emphasize security best practices and validate proper implementation of security controls. Third-party dependencies are continuously monitored for known vulnerabilities through our software composition analysis process. All critical code is subject to peer review to ensure adherence to secure coding standards.

Smallest.AI implements a secure software development lifecycle (SSDLC) that incorporates security at every stage from design to deployment. Our developers receive ongoing training in secure coding practices and follow a comprehensive security requirements checklist. We maintain separate development, testing, and production environments with appropriate access controls. Regular security testing, including threat modeling and penetration testing, helps identify and remediate vulnerabilities before release.

Our multi-layered web application firewall (WAF) protects Smallest.AI's infrastructure from malicious traffic and common web exploits. The WAF is configured to block OWASP Top 10 attacks, suspicious IP addresses, and abnormal request patterns. We continuously update WAF rules based on emerging threats and our security team's analysis. Real-time monitoring and alerting ensure immediate response to potential attacks.

Smallest.AI's privacy policy transparently communicates how we collect, use, and protect customer data in compliance with applicable regulations including GDPR and CCPA. We only collect information necessary to provide and improve our services, with clear explanations of data retention periods and user rights. Our policy undergoes regular review by legal experts to ensure ongoing compliance with evolving privacy laws. We provide straightforward mechanisms for users to access, correct, or delete their personal information. More here - https://smallest.ai/privacy-policy

Our Terms of Service clearly outline the responsibilities of both Smallest.AI and our customers when using our AI platforms. The terms describe permitted uses, intellectual property rights, and compliance requirements for all parties. We regularly update our terms to reflect changes in regulations, features, and industry best practices. Our legal team ensures that terms are fair, transparent, and enforceable across all jurisdictions where we operate. More here - https://smallest.ai/terms-of-service

Smallest.AI maintains a current list of all subprocessors who may access or process customer data, including their locations and functions. We conduct thorough security assessments of all subprocessors before engagement and regularly thereafter. All subprocessors are contractually bound to maintain at least the same level of security and privacy protections as Smallest.AI. We provide timely notifications to customers when adding or changing sub-processors in accordance with our agreements.

Our Data Processing Agreement (DPA) clearly defines roles, responsibilities, and obligations regarding data protection between Smallest.AI and our customers. The DPA outlines specific measures we implement to ensure compliance with GDPR, CCPA, and other relevant regulations. We maintain appropriate technical and organizational security measures as detailed in the agreement. The DPA includes provisions for data subject rights, breach notification procedures, and audit rights. If you need one executed - contact your account Manager.

Our access monitoring system tracks all authentication attempts and privileged operations across Smallest.AI's infrastructure. Automated alerting notifies security personnel of suspicious activities including failed login attempts, unusual access patterns, or unauthorized privilege escalation. We perform regular reviews of access logs to identify potential security incidents or compliance violations. All monitoring activities respect privacy regulations and internal policies regarding employee and customer data.

Smallest.AI maintains a robust backup strategy with regular automated backups of all critical systems and customer data. All backups are encrypted and stored in geographically distributed locations to ensure resilience. We regularly test backup restoration procedures to verify data integrity and system recovery capabilities. Our retention policies balance business continuity needs with data minimization principles and regulatory requirements.

We employ industry-standard encryption protocols to protect data both in transit and at rest throughout our infrastructure. All communication with Smallest.AI services requires TLS 1.2 or higher with strong cipher suites. Customer data stored in our databases and file systems is encrypted using AES-256. Our key management procedures include regular rotation, secure storage, and strict access controls for encryption keys.

Smallest.AI leverages enterprise-grade data centers with comprehensive physical security controls including 24/7 monitoring, biometric access restrictions, and environmental protections. We are remote friendly and remotely accessing production resources is via a secured VPN. Employee access to sensitive assets is strictly controlled and regularly audited.

Smallest.AI implements granular data access controls based on user roles, data classification, and business need. Access to customer data is strictly limited to authorized personnel who require it to perform their job functions. We maintain detailed logs of all data access attempts for audit and compliance purposes. Regular entitlement reviews ensure appropriate access rights and help prevent privilege creep over time.

Our comprehensive logging system captures relevant security and operational events across all infrastructure components and applications. Logs are centralized, protected against tampering, and retained according to our data retention policy. Automated monitoring tools analyze logs in real-time to detect security incidents and anomalous behaviors. We maintain appropriate access controls for log data to protect sensitive information while enabling effective security operations.

Smallest.AI enforces strong password policies including minimum length, complexity requirements, and regular rotation for all systems and applications. We implement secure password hashing using industry-standard algorithms with appropriate salt values. Multi-factor authentication is required for all privileged accounts and available for all user accounts. Our systems protect against brute force attacks through progressive delays and account lockouts after failed authentication attempts.

Full-disk encryption is enforced on all Smallest.AI workstations, laptops, and mobile devices that may contain sensitive information. Our encryption implementations use FIPS 140-2 validated algorithms and modules where applicable. Recovery keys are securely stored with appropriate access controls and backup procedures. We regularly verify encryption status across all endpoints through our device management platform.

Our Mobile Device Management (MDM) solution ensures consistent security configurations across all company-managed devices. The MDM looks for vulnerabilities in Operating system and installed software.

Smallest.AI employs advanced threat detection systems that combine signature-based detection, behavioral analysis, and machine learning to identify potential security incidents. Our security operations team monitors alerts 24/7 and follows established procedures for investigation and response. Threat intelligence feeds provide information about emerging threats relevant to our environment. Regular penetration testing and red team exercises validate the effectiveness of our detection capabilities.

Smallest.AI's SIEM platform aggregates security events from across our infrastructure for real-time analysis and correlation. Automated rules detect suspicious patterns that may indicate security incidents and trigger appropriate alerts. Our security operations team monitors the SIEM dashboard 24/7 to ensure timely response to potential threats. We continuously refine detection rules based on emerging threat intelligence and lessons learned from security incidents.

Our zero trust security model operates on the principle of "never trust, always verify" for all network access regardless of location. Every access request is strongly authenticated, authorized, and encrypted before granting access to resources. We implement micro-segmentation to limit lateral movement within our network. Continuous monitoring and verification ensure security policies are enforced at all times, with anomalies triggering immediate investigation.

Our email security solution includes advanced threat protection against phishing, malware, and business email compromise attempts. All inbound and outbound emails are scanned for malicious content and suspicious patterns. We implement DMARC, SPF, and DKIM to prevent email spoofing and protect our domain. Regular phishing simulations test employee awareness and provide targeted training opportunities.

All Smallest.AI employees receive comprehensive security awareness training during onboarding and regularly thereafter. Our training program covers common attack vectors, secure handling of sensitive information, and specific security procedures relevant to each role. We conduct regular phishing simulations to test and improve security awareness. Training effectiveness is measured through knowledge assessments and security behavior metrics.

Smallest.AI maintains a formal incident response plan that defines roles, responsibilities, and procedures for effectively managing security incidents. Our incident response team conducts regular tabletop exercises to ensure readiness for various scenario types. All security incidents are thoroughly investigated, documented, and followed by lessons-learned reviews to improve our security posture. We promptly notify affected customers of security incidents in accordance with our agreements and applicable regulations.

We perform regular internal security assessments to evaluate the effectiveness of our controls and identify improvement opportunities. Our assessment methodology includes control testing, vulnerability scanning, and compliance validation against relevant standards. Results are documented, tracked, and presented to leadership with clear remediation plans. We maintain a continuous assessment cycle to ensure ongoing security improvement.

Smallest.AI implements multiple layers of protection for user accounts including strong authentication, suspicious activity detection, and appropriate account lockout policies. We offer multi-factor authentication options for all accounts and require it for privileged access. Session management controls enforce timeouts and validate device fingerprints to prevent unauthorized access. Users receive notifications of significant account events such as password changes or unusual login attempts.

We conduct comprehensive penetration testing of our infrastructure and applications at least annually using qualified third-party specialists. Our penetration testing scope covers all critical systems and follows industry methodologies such as OWASP and NIST guidelines. Test results are thoroughly analyzed, prioritized, and remediated according to our vulnerability management process. Summary reports are available to customers under NDA upon request.

Our systems regularly undergo CryptCheck assessments to verify the strength of our cryptographic implementations. We maintain A+ ratings by implementing modern cipher suites, secure protocols, and appropriate key lengths. The CryptCheck results guide our ongoing improvements to encryption configurations across our infrastructure. We promptly address any cryptographic weaknesses identified during these assessments.

All Smallest.AI domains implement HTTP Strict Transport Security (HSTS) and are included in major browsers' HSTS preload lists. This ensures that all connections to our services always use secure HTTPS, protecting against downgrade attacks and connection hijacking. We maintain appropriate max-age values and include subdomains in our HSTS policy. Regular testing verifies that our HSTS implementation remains effective across all domains.

We leverage ImmuniWeb's continuous security monitoring to identify web application vulnerabilities, misconfigurations, and compliance issues. Our web applications consistently achieve A+ ratings by addressing findings promptly. The automated scanning complements our manual security testing efforts. Results from ImmuniWeb assessments inform our security roadmap and development priorities.

Smallest.AI's TLS implementations are regularly tested using Qualys SSL Labs and maintain A+ ratings across all our services. We follow the latest best practices for cipher selection, protocol versions, and certificate management. Our TLS configurations are regularly updated to address new vulnerabilities and deprecate insecure algorithms. Qualys SSL Labs reports are available to customers upon request to validate our secure communications.

All Smallest.AI applications implement robust security headers including Content-Security-Policy, X-XSS-Protection, X-Content-Type-Options, and others as appropriate. Our security headers are regularly audited using tools like securityheaders.com to ensure effectiveness. We maintain A ratings across our applications by implementing current best practices. Security header configurations are standardized across our infrastructure to ensure consistent protection.

Smallest.AI leverages enterprise-grade cloud providers with robust security certifications including SOC 2, ISO 27001, and FedRAMP. We implement the shared responsibility model by configuring all cloud services according to security best practices. Our cloud architecture leverages provider security services including identity management, encryption, and threat detection. Regular audits verify proper configuration and security of all cloud resources

Our multi-layered DDoS protection combines cloud provider capabilities with specialized DDoS mitigation services. We implement traffic filtering at the network edge to block attack traffic before it reaches our applications. Automatic scaling ensures service availability during volumetric attacks. Regular DDoS simulation exercises validate our detection and mitigation capabilities under controlled conditions.

Smallest.AI maintains comprehensive business continuity and disaster recovery plans covering various disruption scenarios. Our applications are deployed across multiple availability zones to ensure resilience against infrastructure failures. Regular disaster recovery tests validate our recovery time objectives (RTO) and recovery point objectives (RPO). Critical systems are backed up according to defined schedules with backup integrity regularly verified.

Our infrastructure security architecture implements defense-in-depth with multiple protective layers including firewalls, WAF, intrusion detection, and endpoint protection. We maintain current security patches across all infrastructure components with defined SLAs for remediation. Infrastructure configurations follow hardening guidelines based on CIS benchmarks and industry best practices. Continuous monitoring identifies and alerts on security-relevant changes or anomalies.

Smallest.AI maintains strict logical and network separation between production and non-production environments. Access controls enforce appropriate separation of duties, with production access limited to authorized personnel. Data flows between environments follow defined procedures that protect production data confidentiality. Regular audits verify the effectiveness of our environment separation controls.

Smallest.AI conducts comprehensive penetration testing at least annually through qualified third-party specialists. Our penetration testing reports document methodology, findings, and remediation status in a clear, actionable format. High and critical vulnerabilities are addressed according to defined SLAs with verification testing. Redacted penetration test executive summaries are available to customers under NDA upon request.

We maintain current architecture diagrams that document our system components, data flows, and security controls. These diagrams inform security assessments, compliance activities, and system design decisions. Access to detailed architecture documentation is restricted based on role and need-to-know. High-level architecture overviews are available to customers under NDA during the procurement process.

Smallest.AI maintains industry-standard certifications and attestations including SOC 2 Type II, ISO 27001, and GDPR compliance. Our compliance program ensures continuous adherence to certification requirements through regular internal assessments. Certificates and attestation reports are available to customers under NDA upon request. We regularly evaluate additional certifications based on customer needs and regulatory requirements.

Smallest.AI's audit logging system captures relevant security events across all components of our AI platforms. Logs include user actions, system events, and security alerts with appropriate context for investigation. All logs are protected against unauthorized access or modification and retained according to our data retention policy. Automated analysis identifies suspicious patterns that may indicate security incidents.

All third-party integrations undergo security assessment before implementation to ensure they meet our security requirements. API integrations use secure authentication methods, encrypt data in transit, and follow the principle of least privilege. We regularly monitor integrated services for security issues and maintain fallback procedures for critical integrations. Customer data shared with integrations is limited to what is necessary for the specific function.

Smallest.AI maintains a dedicated security contact accessible via security@smallest.ai for reporting potential vulnerabilities or security concerns. Our security team acknowledges reports within 24 hours and provides regular updates throughout the investigation process. We follow responsible disclosure practices when addressing reported vulnerabilities. Critical security issues can be escalated through defined procedures to ensure timely response.

We enforce multi-factor authentication (MFA) for all access to Smallest.AI production systems and sensitive resources. Our MFA implementation supports various second factors including authenticator apps, hardware tokens, and biometrics. Bypass procedures are strictly controlled and include appropriate compensating controls. MFA enrollment and recovery processes are designed to prevent social engineering attacks.

Smallest.AI implements granular role-based access control (RBAC) across our platform and internal systems. Roles are defined based on job responsibilities with appropriate separation of duties. Access privileges are regularly reviewed and updated as responsibilities change. Our RBAC model supports the principle of least privilege, ensuring users have only the access necessary for their functions.

Our platform supports industry-standard single sign-on (SSO) protocols including SAML 2.0 and OpenID Connect. Customer identity providers can be integrated to enforce their authentication policies and simplify user management. SSO configurations are securely stored and regularly tested to ensure continued functionality. Detailed integration documentation is available to assist customers with SSO implementation.