First-generation AI SOC tools improved detection but stopped short of autonomous action, leaving analysts to manually close the loop on every finding. Alaris closes that loop automatically. One AI-native platform that detects, triages, investigates, and responds without human bottlenecks in the critical path.
Better detection still leaves an analyst to investigate, triage, and run containment manually. The bottleneck shifts, it doesn't disappear. Alaris closes the entire loop: when the AI verifies a threat, it acts. Isolation, account suspension, firewall updates, all handled autonomously without waiting for human approval.
Tools that cover only endpoints, network, or cloud leave seams that attackers exploit by crossing data-source boundaries. Alaris ingests and correlates across every source, building a unified security graph that sees multi-vector attacks as one cohesive story, not isolated anomalies in different tools.
First-generation AI security tools applied machine learning to detection problems. Alaris represents the next generation: purpose-built LLM agents that reason about threats, plan multi-step responses, and explain every decision in plain language. This isn't ML on top of a legacy platform, it's a security system designed from the ground up around autonomous AI decision-making, built for a threat landscape where speed and reasoning depth are both essential.
Don't settle for AI that finds threats and hands them back to humans. Alaris triages, investigates, and contains, autonomously, from the first signal to resolved incident.