Trellix redefines cyber defense in the age of AI with its Agentic SOC platform

Threat evolution and response in the AI era

The cyber threat landscape has fundamentally shifted: threat actors are not just accelerating attacks with AI, they are actively commercializing them. Real-world incidents, such as the Hugging Face infrastructure compromise, where AI agents executed 17,600 autonomous actions over five days, prove that traditional response tools are no longer enough. In response to these challenges, Trellix introduces an innovative Agentic SOC approach that enables organizations to meet emerging threats with AI-powered defense operating at machine speed.

Trellix Wise for Private Cloud platform

According to recent research, 41% of organizations plan to prioritize investments in AI-related risk defense over the next 12–24 months. The core of this autonomous monitoring center concept is Trellix Wise for Private Cloud — the first federated on-premises AI core. It autonomously investigates 100% of incidents, performs alert triage, delivers actionable verdicts with evidence to analysts, and increases overall SOC capacity sixfold.

Key advantages of Agentic SOC

Absolute data control and sovereignty

• On-premises deployment: The platform runs on-premise, in strictly isolated (air-gapped) networks, hybrid environments, or private cloud (VPC).
• Telemetry protection: Sensitive data never leaves the organization's secure perimeter and is never sent to public large language models (LLMs).
• No additional data lakes: The system analyzes logs and telemetry directly where they reside, eliminating the need to build resource-intensive centralized data lakes.

AI transparency and governance without guesswork

• Elimination of hallucinations: Conclusions are grounded strictly in real logs. When data is unavailable, the system states this directly rather than generating false conclusions based on statistical patterns.
• Full reasoning visibility: Security analysts receive detailed step-by-step evidence, calibrated confidence scores, and transparent audit trails for every decision.
• Human-in-the-loop control: Critical actions that could impact infrastructure always require operator confirmation. Persistent abort controls allow users to halt suspect executions immediately.

Scaling without hidden costs

• Predictable costs: Complete departure from token consumption-based pricing models.
• Financial certainty: A fixed license subscription lets you run AI at maximum capacity during large-scale cyber incidents without the risk of surprise overage bills.

Comparing threat analytics approaches

Traditional security operations center (SOC)

• Incident response: Manual triage of thousands of disjointed alerts, leading to alert fatigue and analyst burnout.
• Data analysis: Forced telemetry centralization, high log transformation costs, and compromises regarding data sovereignty.
• Scalability: Capacity is limited strictly by human headcount and requires constant linear hiring.

Agentic SOC by Trellix

• Incident response: AI agents autonomously investigate every alert, correlating disparate signals into a unified attack narrative.
• Data analysis: In-place threat intelligence and analytics that maintain complete enterprise data sovereignty.
• Scalability: Machine-speed operations that liberate analysts from routine tasks and refocus them on high-judgment, strategic decisions.

The value of local expertise from Softprom

Deploying Agentic SOC solutions requires deep expertise in security architecture and regulatory compliance. As an official distributor, Softprom provides end-to-end support across all project stages. Our certified engineers help design robust architectures, deploy pilot testing environments, and seamlessly integrate new AI capabilities into your existing corporate security ecosystem.