AutoSec TARA Suite vs IriusRisk

AutoSec TARA Suite is a pilot automotive threat-modelling and risk-management platform for analyst-led workflows aligned with ISO/SAE 21434 and UN R155 activities. Its analysis moves through item definition, asset and boundary identification, threat scenarios, attack analysis, impact assessment, and risk determination. Candidate threat scenarios are generated for analyst review and mapped to STRIDE categories. Risk assessment considers safety, financial, operational, and privacy impacts, then calculates attack potential to determine risk. Listed outputs include traceability matrices, PDF and Excel compliance bundles, and VSOC detection rule exports. Deployment options include analyst-led engagements, managed evaluation instances, and self-hosted customer instances. Controlled self-hosted evaluations and technical demonstrations are available on request. The suite is designed to support ISO/SAE 21434, UNECE R155, and ISO 26262 activities, but it does not certify products or organisations. Pricing is available on request.

IriusRisk is an AI threat-modeling tool for planning secure software design. It helps teams build threat models, identify threats and countermeasures, and surface vulnerabilities and compliance gaps. Its Jeff AI Assistant can turn user stories, documentation, meeting transcripts, or code into a diagram showing threats and security controls. A built-in knowledge base supports applying standards such as PCI DSS, NIST, and GDPR, marking aligned countermeasures as required. Integrations include Jira, ServiceNow, Azure DevOps, Jenkins, GitHub, OWASP ZAP, Terraform, AWS CloudFormation, and Open API; users can also import diagrams from draw.io, Visio, Lucidchart, and Microsoft Threat Modeling Tool. The free Community Edition costs nothing and allows one user and three active threat models. Enterprise has no listed price and is offered as SaaS or on-premise. IriusRisk says its cloud services are not designed or certified for certain sensitive data, including PHI and GDPR special category data.