Use case type

Threat detection

Detects threat issues from data and flags them in real time.

Use cases

3

Examples

3

Industries

3

Timeline

2 mo

Data updated 1 day ago

Adoption over time

Documented cases per month

By case publish month · completed months only

1 case documented across 6 months (Jan 26 – Jun 26), peaking at 1 in January 2026.

2 so far in July 2026 (in progress, not charted)

Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.

Company examples

Use cases of this type

3 shown from 3 use cases

GCPJul 15, 2026

BCW Group: AI-assisted SecOps for faster Web3 security investigations and SOC 2 evidence

BCW Group, a Web3 venture studio and staking platform operator, used Google SecOps, Security Command Center Enterprise, Mandiant Threat Intelligence, VirusTotal, Gemini, and Google Workspace integrations to consolidate fragmented security telemetry, automate alert triage, enrich investigations, and support SOC 2 evidence logging across multi-cloud and Web3 infrastructure.The company deployed the solution within six weeks to unify logs and telemetry from Kubernetes clusters, Web3 nodes, cloud environments, and identity sources.

BCW GroupFinance
GCPJul 9, 2026

SEP2 builds interconnected cybersecurity agents with Gemini Enterprise Agent Platform

SEP2 uses Gemini Enterprise Agent Platform to deploy custom AI agents for faster triage and enhanced threat detection capabilities.In its UK-based security operations center, SEP2 was facing growing log volumes and a manual bottleneck because analysts spent up to 20 minutes manually checking firewalls, endpoints, and threat feeds for each event.SEP2 built an ecosystem of interconnected agents with distinct personas, including triage agents and threat intelligence agents, to gather and summarize multi-step threat context for human review.The approach integrates Google Security Operations and supports rapid iteration of new rules and external feed integrations.

SEP2Public Sector
Jan 16, 2026

Palo Alto Networks: automated device-security log classification with Amazon Bedrock

Palo Alto Networks' Device Security team built an automated log classification pipeline to detect early warning signs of production issues from very large volumes of service and application logs.The system uses Amazon Bedrock with Anthropic Claude Haiku, Amazon Titan Text Embeddings, Amazon Aurora, Amazon S3, and Amazon Redshift to deduplicate logs, retrieve relevant labeled examples, and classify severity for SME review.

Palo Alto NetworksTech & Comms

Common questions

Threat detection at a glance

How many threat detection use cases are documented?
The AI Use Case Hub documents 3 real threat detection deployments across 3 industries, with 3 detailed company examples you can browse.
Which industries adopt threat detection the most?
Threat detection is most common in Public Sector (33%), Tech & Comms (33%) and Finance (33%).
Which countries lead in threat detection?
United States leads documented threat detection deployments, followed by United Kingdom.
What technologies are used for threat detection?
Teams most often build threat detection with Gemini, Gemini Enterprise Agent Platform and Google Security Operations.
What AI capabilities power threat detection?
Across the documented deployments, the most common capability patterns are Agent (33%) and Multi-agent (33%).
What results do companies report from threat detection?
Across the 3 deployments reporting outcomes, companies most often cite cost efficiency (67%), risk & compliance (67%) and employee experience (33%). Where impact is quantified, the strongest evidence is in time & speed: a median −71.5% across 2 reported metrics.