Launching Trench Agentic Threat Detection Mesh

Velocity, not data volume, is now your biggest security risk.

For years, cybersecurity has been treated as a data problem,  collect more logs, store more telemetry, search harder. That model no longer works. In the AI era, attacks execute at machine speed, while detection still runs on human time. The real cyber risk today isn’t lack of data, it’s detection latency.

Attacks are deployed in Minutes

The industry is losing ground because the Attack Opportunity (Zero-day vulnerabilities) and Threat Intelligence volume are skyrocketing faster than human teams and existing detection models can manage.

Sources: NIST NVD, Report 1, Report 2

AI has fundamentally changed and simplified the threat landscape:

• Attacks launch and adapt in minutes

• Cloud and AI assets appear and disappear instantly

• Techniques mutate faster than static rules can track

Yet most security operations still rely on centralized SIEM pipelines, batch correlation, and manual detection workflows, tedious fine-tuning and poor threat detection coverage. By the time an alert fires, the attacker is ahead in the kill chain.

This creates the Latency Gap,  the window where modern breaches happen and the legacy SIEM and detection pipelines fail. Because, existing systems are designed for storage, search and compliance not threat detection. 

Why Legacy SIEM architecture Fails

Traditional SIEMs were built for a different era:

• Centralize everything

• Store first, detect later

• Optimize for search and compliance

In today’s environment, this leads to:

• High ingestion and storage costs (remember your storage cost of the last renewal?)

• Slower detection due to centralized processing (what was your Mean Time To Detect for your last incident?)

• Security engineers and Analysts overwhelmed by tuning and false positives (Detection gaps create the real alert fatigue)

More data hasn’t reduced risk. It has slowed detection dramatically. When adversaries are moving in minutes, the security teams capture poor SLAs. 

If detection takes hours or days, the outcome is no longer a secured posture,  it’s post-incident analysis. Speed is no longer an optimization. It’s survival.

Introducing Trench Agentic Threat Detection Mesh

Trench Agentic Threat Detection Mesh is a velocity-first security analytics platform purpose-built for the AI threat era. We understand your data is siloed by design. Instead of centralizing data and waiting for alerts, Trench deploys AI agents that operate across federated data sources, correlating real-time threat signals with critical assets in minutes.

Built on Zero Latency Threat Detection (ZLTD) and Cybersecurity Mesh Architecture (CSMA), Trench eliminates the ingestion, storage, and tuning bottlenecks of legacy SIEMs. Detection, investigation, enrichment, and escalation are automated end-to-end,  allowing security teams to focus only on validated, high-impact threats.

The result is faster detection, broader threat coverage, and up to 50% lower ingestion cost, without disrupting existing SIEMs or compliance workflows. We don’t want you to pay More - for Analytics ($$$$$$) but using SIEM only for Less - Compliance storage ($$$$). 

Reimagine your SIEM to achieve Threat Detection in Minutes

How does Agentic Mesh work?

Trench AI uses the ZLTD framework powered by Cybersecurity Mesh Architecture (CSMA). Rather than moving all data into a central SIEM:

• Data stays where it is; AI agents operate across sources

• Correlation and context engineering happens in real time

• MITRE detection gaps for your critical assets fixed in minutes 

• Real-time threat intelligence to high fidelity rules in minutes 

Zero Latency Threat Detection (ZLTD) is a new security model built for the AI era.Trench flips the script: We prioritize recall-first detection. By catching everything and using AI agents to investigate automatically, we escalate only what truly matters. Now, security experts or threat hunters can focus on tuning high precision, high fidelity detections from the high recall escalations from AI system.

SIEM becomes a system of record for compliance, not the bottleneck for detection. This reduces latency and cuts SIEM costs by 40–60%.

Dimension	Legacy Detection Approach	Trench Approach
Detection Logic	Static, rule-based detections	Dynamic, AI-driven real-time detections
MITRE Mapping	Periodic MITRE audits	Continuous detection for critical assets on MITRE coverage gaps
Detection Speed	MTTP in days, MTTD in weeks, MTTR in months	MTTP, MTTD, MTTR In Minutes
Rule Management	Continuous manual tuning	Real-time mapping of threat intel artefacts with critical assets to create dynamic rules in minutes
Workflow Model	Human-led, manual hunting workflows	Autonomous hunting, agent-led workflows with human review
Fine-tuning	Manual triage and analysis	Self-adapting and autonomous fine-tuning of queries, IOCs and threshold knobs
Search & Queries	Complex searches with frequent failures	Real-time correlation without manual queries; Focus on context, agent takes care of query language
Threat Coverage	Limited to known patterns with conservative Precision tuning	Day one you get gap assessment report on coverage gaps for your critical assets
Red Teaming	Tedious red teaming - fine-tuning cycles with broken queries and lack of findings	Continuous learning from attack signals, threat intel and impact graph for high fidelity tuning at scale
Asset Discovery	Monthly or periodic asset discovery	Continuous, real-time asset discovery and gap assessment
Security engineer / Analyst Role	Alert triage and rule maintenance	Only review and context reinforcement for faster threat detection

This flips detection economics: faster response now possible with questioning the purpose of sending everything to SIEM without increasing analyst load.

Reimagine your SIEM and Threat Detection

Detection latency is no longer a technical issue,  it’s a business risk, It's a ticking time bomb. We know what your boards ask. They don’t care about how much data you collect. They ask how fast you can stop an attack and how much are you paying for it? With Trench you can achieve ridiculously fast threat detection at 50% of your SIEM ingestion cost, yes by keeping storage for your compliance audits.

Zero Trust is for Cloud,

Zero Latency Threat Detection is for AI Era. 

If attackers move at machine speed, so must threat detection.