Adaptive Enforcement Built for Enterprise Defense
Traditional ITDR, UEBA, and XDR tools bury analysts under endless alerts. Each event requires manual triage, slowing response while attackers move freely through compromised identities. This inefficiency has fueled a ballooning SOC market, projected to grow from $7.5B in 2024 to more than $20B by 2030, with Fortune 500 companies already spending an average of $15M annually just to keep pace. Yet despite the heavy investment, enforcement remains static and after the fact, leaving attackers unchecked while teams drown in noise.
TOTAL changes that. TOTAL Adaptive Enforcement automates the work of the SOC by learning how analysts triage alerts, escalate incidents, and apply enforcement. Every decision your team makes — whether to contain, dismiss, or escalate — becomes training data for the platform. Over time, it builds an adaptive playbook of enforcement actions specific to your enterprise. When the same threat patterns recur, TOTAL doesn’t wait on a human. It enforces automatically, shutting down risks in real time with the same judgment your SOC would apply.
TOTAL spans the full range of enforcement, from locking a device or SSO account to applying Azure Conditional Access or initiating a “911” shutdown for extreme threats. Each action then feeds back into the closed-loop learning system, improving prediction and response with every cycle.
Key Differentiators
Signal to Noise: Low-grade and repetitive risks are filtered and contained automatically, eliminating the flood of minor alerts that overwhelm SIEMs and SOC workflows. This cuts noise at the source and ensures analysts only see events that truly matter.
Closed-Loop Learning: Every enforcement decision generates labeled data, feeding back into the system to continuously improve prediction and response.
Identity-First Control: Because TOTAL operates at the identity layer, it can stop attackers moving through compromised accounts — blind spots network and endpoint tools can’t cover.
SOC-as-Code: TOTAL learns directly from SOC decisions, codifying them into automated enforcement playbooks.
Automated Judgment: Threats are contained instantly through device lock, SSO suspension, Conditional Access, or enterprise-defined “911” kill switches.
Enterprise Adaptability: Enforcement evolves with your unique policies, user groups, risk posture, and workforce dynamics, ensuring alignment with both security and business needs.
Operational Leverage: Automation replaces repetitive analyst work, cutting costs while enabling security teams to focus only on the edge cases.
The Bottom Line
TOTAL Adaptive Enforce transforms enforcement from a static rulebook into a self-learning system that does the job of the SOC in real time. By unifying Protect, Predict, and Enforce, it closes the loop between detection and response, ensuring threats are contained the moment they emerge.
The result is a continuously improving security posture where MTTD = 0 and MTTR = 0 become standard.