Johnson Controls Acquires Tempered Networks to Bring Zero Trust Cybersecurity to Connected Buildings
Johnson Controls will roll out the Tempered Networks platform across deployments of its OpenBlue AI-enabled platform.
Zero Trust verifies each access request and limits privileges, reducing lateral movement after compromise through segmentation and continuous authentication.
Search across headline titles and summaries.
Background for this topic.
Zero trust is a security architecture that grants no implicit access based on network location. Each request is evaluated using the user or workload identity, device state, requested resource, and relevant context. Its purpose is to limit the damage from stolen credentials, compromised endpoints, or malicious insiders by enforcing least privilege and restricting lateral movement. Zero trust is a design approach, not a single product or a claim that trust can be eliminated.
Effective controls include phishing-resistant multifactor authentication, strong identity and access lifecycle management, device and workload authorization, application-level segmentation, short-lived credentials, and auditable policy decisions. Policies should limit access to specific resources and actions rather than broad network zones. Poorly maintained identities, service accounts, segmentation rules, or policy exceptions can leave exploitable paths while creating false assurance; the identity and policy infrastructure itself also requires hardening, monitoring, and recovery planning.
Johnson Controls will roll out the Tempered Networks platform across deployments of its OpenBlue AI-enabled platform.
Zscaler also announced innovations built on Zscaler’s Zero Trust architecture and AWS.
Organizations can strengthen their network defense with a number of intelligent security innovations.
Most organizations still rely on virtual private networks for secure remote access.
Zero trust isn’t just about authentication. Organizations can combine identity data with business awareness to address issues such as insider threat.