How long does building Security Threat Detection & Response Agent take?

A custom AI agent typically takes 4–10 weeks from scoping to production deployment. Timeline depends on the number of integrations, data sources, and workflow complexity.

How much does a custom AI agent like Security Threat Detection & Response Agent cost?

Custom AI agent projects at Fordel Studios start from ₹3–5L (approximately $3,500–$6,000 USD) for a scoped, production-ready agent. Multi-agent systems and complex integrations are priced on scope after a discovery call.

Does Security Threat Detection & Response Agent introduce bias in hiring decisions?

We build HR AI agents with bias mitigation in mind — using structured criteria, explainable scoring, and auditable decision logs. All screening outputs are recommendations, not final decisions, and are reviewed by HR professionals.

Do you provide ongoing maintenance after the agent is deployed?

Yes. AI agents require ongoing maintenance — model updates, prompt adjustments as LLMs evolve, integration changes, and monitoring. Fordel offers retainer-based maintenance starting from ₹81,000/month.

Is Fordel Studios based in India?

Yes, we are based in Siliguri, West Bengal, India. We work with clients across India, Southeast Asia, the Middle East, and Europe.

Fordel Studios

Agents

SaaS

Security Threat Detection & Response Agent

From alert to investigation summary before the analyst opens the ticket.

The Problem

Security operations centers face an alert volume problem. A mid-size organization's security stack — SIEM, EDR, network detection, email security, cloud security posture — generates thousands of alerts per day. Security analysts must triage each alert to determine if it represents a genuine threat requiring investigation or a false positive to be closed.

CrowdStrike's 2024 Global Threat Report documents that the median attacker breakout time — time from initial access to lateral movement — is 62 minutes. SentinelOne's threat intelligence data shows that 79% of cyberattacks are malware-free (using legitimate tools and credentials). The implication: detection speed matters, and high false positive rates slow detection.

The SANS 2024 SOC survey found that 60% of SOC analysts report alert fatigue as their primary challenge, and organizations with high false positive rates see faster analyst turnover. The structural problem is that the alert volume has grown faster than analyst headcount, and each alert requires contextual investigation before a triage decision can be made accurately.

The Solution

The Security Threat Detection & Response Agent pre-investigates security alerts before an analyst opens them. When an alert fires, the agent automatically assembles context: pulls the related endpoint's recent process history, network connections, and user activity; checks the involved IPs, domains, and file hashes against threat intelligence feeds; retrieves related alerts from the past 30 days for the same asset; and produces a structured investigation summary with a threat assessment.

The analyst receives a ticket with the investigation pre-complete: here is what happened, here is the context, here is the threat assessment, here is the recommended action. For clear false positives, the analyst closes the ticket in seconds. For genuine threats, the analyst has the investigation context needed to make response decisions immediately, without the 15–30 minutes typically spent assembling context manually.

For confirmed incidents, the agent assists with response coordination: generating containment action checklists, documenting the incident timeline, and drafting stakeholder notifications.

How It's Built

An event ingestion layer (Go, Kafka) receives alert feeds from SIEM, EDR, and cloud security tools via webhook and API. The investigation agent (LangGraph) orchestrates parallel context gathering: log API queries, threat intelligence lookups, and related alert retrieval. A MITRE ATT&CK classification model maps observed behaviors to technique IDs. An LLM synthesis layer produces the investigation summary with threat assessment and recommended disposition. For playbook-eligible incident types, a separate response orchestration agent executes playbook steps with human-approval gates. All actions are logged to an immutable audit trail.

Capabilities

Automated Alert Pre-Investigation

When an alert fires, the agent automatically pulls relevant context: process history, network connections, user activity, related alerts for the same asset, and threat intelligence lookups for involved indicators. Produces a structured investigation summary before the analyst opens the ticket.

Threat Intelligence Enrichment

Real-time enrichment of alerts with threat intelligence: IP reputation, domain age and registration data, file hash reputation, known threat actor TTPs, and MITRE ATT&CK tactic mapping. Integrates with configured threat intel feeds (VirusTotal, Shodan, MISP, commercial feeds).

MITRE ATT&CK Mapping

Maps detected behaviors to MITRE ATT&CK tactics, techniques, and procedures. Provides context on the technique observed, how it is commonly used by threat actors, and recommended detection and response guidance from the ATT&CK knowledge base.

Incident Timeline & Documentation

For escalated incidents, automatically builds and maintains a timeline of events from alert data and response actions. Generates draft incident reports and stakeholder notifications. Maintains documentation required for post-incident review and regulatory reporting.

Response Playbook Execution

For common incident types (phishing, credential compromise, malware detection), the agent executes configured response playbook steps: isolating endpoints, disabling accounts, blocking IPs — with analyst approval gates for each action. Logs all actions taken.

Projected Impact

A security operations team at a 500-person technology company manages a stack generating approximately 500 alerts per week. Two Tier 1 analysts spend the majority of their time triaging alerts. Mean time to triage is 18 minutes per alert; mean time to close confirmed false positives is 8 minutes. Genuine threats requiring investigation take 2–4 hours.

After deploying the threat detection agent, alerts arrive with pre-completed investigation summaries. Tier 1 triage drops from 18 minutes to 3–5 minutes (review of the pre-investigation). Confirmed false positives close in under 2 minutes. Genuine threat investigations start from a complete context package, reducing investigation initiation time by 60–70%.

These projections are informed by CrowdStrike Falcon Fusion workflow data, SentinelOne Singularity Platform efficiency benchmarks, and the SANS 2024 SOC Survey data.

Metric	Before	After
Time to begin a genuine threat investigation	15–30 minutes assembling context (logs, TI lookups, related alerts)	0 additional assembly time; pre-investigation is complete when analyst opens ticket
False positive closure time	5–10 minutes per alert (manual review to confirm benign)	1–2 minutes (review pre-investigation summary, confirm close)
Incident timeline documentation	Built manually during or after incident response	Auto-generated from alert and response action log; updated in real time

Reduction from ~18 min to 3–5 minMean time to triage per alertPre-investigation reduces analyst triage time from 15–25 minutes (manual context assembly) to 3–5 minutes (reviewing an assembled investigation summary). CrowdStrike Fusion workflow customers report similar reductions in alert handling time.

40–60% more analyst time availableAnalyst capacity for genuine threat investigationWhen false positive triage time drops significantly, analysts have proportionally more time for genuine threat investigation, threat hunting, and security improvement work. SentinelOne platform data shows this capacity reallocation is the primary operational benefit.

30–50% reductionMean time to detect and contain (MTTD/MTTC)Faster alert triage and pre-assembled investigation context directly reduce time from alert to containment decision. IBM's Cost of a Data Breach report (2024) shows that organizations with AI-assisted SOC operations have significantly lower breach costs, driven primarily by faster containment.

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