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Gartner Forecast: 70% of SOCs to Pilot AI Agents by 2028, Yet Only 15% Expected to Deliver Measurable Gains

Gartner’s 2026 Hype Cycle says 70 % of large SOCs will pilot AI agents by 2028, but only 15 % will achieve measurable improvements without a structured evaluation. This highlights a governance gap that continuous control‑assurance programs must address to maintain audit readiness.

Verisq™ Intelligence · 📅 September 09, 2026 · 📰 helpnetsecurity.com
🟡
Severity
Medium
TI
Type
ThreatIntel
🎯
Confidence
High
🏢
Affected
1 sector(s)
Actions
1 recommended
📰
Source
helpnetsecurity.com

Gartner Forecast: 70% of SOCs to Pilot AI Agents by 2028, Yet Only 15% Expected to Deliver Measurable Gains

What Happened – Gartner’s 2026 Hype Cycle predicts that by 2028 70 % of large Security Operations Centers (SOCs) will be piloting AI agents to augment Tier 1/2 work, but only 15 % are likely to see measurable improvements without a structured evaluation framework. Prophet Security’s 2026 survey shows 40 % of teams already use AI daily, yet many still suffer from alert fatigue and uninvestigated alerts.

Why It Matters for Trust & Control Assurance

  • Demonstrates the need for a continuous control‑assurance program that validates AI‑driven automation against defined workload‑reduction metrics.
  • Highlights the risk of “AI washing” – without evidence‑based evaluation, organizations cannot prove that AI controls are effective, undermining audit readiness.
  • Aligns with the AI governance control objective (risk management, performance monitoring, and documentation) that maps to multiple frameworks (e.g., NIST AI RMF, ISO 42001).

Who Is Affected – Large enterprises across technology, finance, healthcare, and other sectors that operate Tier 1/2 SOCs and are evaluating or piloting AI‑based security automation.

Recommended Actions

  1. Map AI‑agent use cases to specific control objectives (e.g., workload reduction, alert coverage) and define measurable success criteria.
  2. Collect continuous evidence (metrics, logs, false‑positive rates) to demonstrate control effectiveness for audit purposes.
  3. Conduct a structured post‑pilot review against the Gartner evaluation questions to decide on full deployment.

Source: Help Net Security

Technical Notes – The report does not reference a specific vulnerability; the risk stems from process and governance gaps when AI agents are deployed without proper measurement, leading to potential blind spots in detection coverage. Source: same as above

📰 Original Source
https://www.helpnetsecurity.com/2026/09/09/prophet-security-evaluating-ai-soc-agents/

This Verisq Intelligence Brief is an independent analysis. Read the original reporting at the link above.

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