NSFOCUS Wins Frost & Sullivan's 2025 Global Competitive Strategy Leadership Award for AI-Driven Security Operations

Frost & Sullivan honors NSFOCUS for AI-driven SecOps: 97% alert noise cuts and sub-30-minute response. NSFGPT + ISOP bring SIEM, XDR, and SOAR together with 24/7 automation.

Published on: Nov 26, 2025
NSFOCUS Wins Frost & Sullivan's 2025 Global Competitive Strategy Leadership Award for AI-Driven Security Operations

NSFOCUS earns Frost & Sullivan's 2025 Global Competitive Strategy Leadership for AI-Driven Security Operations

SANTA CLARA, Calif., Nov 25, 2025 - Frost & Sullivan recognized NSFOCUS for its AI-driven approach to security operations, citing "scalable, intelligent, and high-impact solutions that address both operational efficiency and the global shortage of skilled analysts." For executive teams, this is a signal: AI in SecOps is moving from pilot to measurable outcomes.

What stands out

  • Measured impact: 97% alert noise reduction and incident response under 30 minutes, per Frost & Sullivan.
  • End-to-end AI: NSFGPT paired with ISOP brings Next-Gen SIEM, XDR, and SOAR into one stack.
  • Automation where it counts: autonomous triage, response, and reporting running 24/7.

NSFGPT: the AI layer for SecOps

NSFGPT combines NSFOCUS's security-domain LLM with a DeepSeek dual-base model, plus specialized small models, knowledge bases, and intelligence databases. The goal is straightforward: raise the intelligence level across the full security operations chain-from signal enrichment to investigation and response.

As Frost & Sullivan's Pranav Sahai put it, "NSFOCUS transforms cybersecurity operations through AI-driven automation and precision, achieving a 97% alert noise reduction and cutting incident response times to under 30 minutes-empowering organizations to do more with less."

NSFOCUS ISOP: consolidated operations, AI-first

ISOP unifies Next-Gen SIEM, XDR, and SOAR to handle complex networks while improving threat management efficiency. It layers in AI agents that reduce noise, accelerate triage, and execute response actions.

  • AI on-duty robot: autonomous analysis, noise reduction and triage, autonomous response, report writing, and 24×7 coverage.
  • AI unknown attack detection: autonomous baseline modeling, abnormal behavior detection, confusion confrontation analysis, and malicious sample detection.
  • Security-specific intelligent agents: PCAP analysis, phishing email identification, high-risk vulnerability checks, high-risk port and weak password detection, and alarm assessment.

Who is adopting it

ISOP is trusted across financial services, telecom, government, energy, science, education, culture, healthcare, and transportation. NSFOCUS continues to invest in large-model AI and XDR-driven detection to improve accuracy, discovery rates, and the readability of security events.

Executive takeaways

  • Anchor the business case on specific KPIs: false-positive reduction, MTTR, analyst utilization, and reporting time saved.
  • Prioritize high-volume use cases first: alert triage, phishing review, recurring incident reports.
  • Tighten data pipelines early; clean, connected telemetry multiplies AI value.
  • Roll out AI playbooks in phases and review quarterly with an operations scorecard.

Learn more

If you're planning an AI upskilling path for SecOps roles, explore curated AI courses by job.


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