ITL-09 CONSULTING SERVICE
Detection & Response (SecOps)
Detection without response is a dashboard. The value of a security operations center is measured by one question: how much time passes between the first signal of the attack and containment?
The problem
Security operations fail in predictable ways: telemetry collected without use cases, thousands of low-quality alerts that train the analyst to ignore them, no tested response playbooks, and metrics that measure volume (alerts handled) instead of outcome (time to detect and contain). The result is an expensive SOC that discovers the incident after the impact has happened — or when someone outside calls to warn you.
How we work
SOC operating model
Design or review of the security operations model — internal, hybrid, or outsourced — with roles, shifts, escalation, and clear boundaries with infrastructure, engineering, and legal. Includes the honest call on when outsourcing makes sense and when it merely transfers the problem.
Threat-driven detection engineering
Building detection use cases from the threats relevant to your business, mapped against recognized frameworks of attack tactics and techniques, with coverage measured and prioritized — instead of collecting everything and detecting little. Includes continuous curation to reduce false positives and alert fatigue.
Orchestrated response and automation
Response playbooks per scenario, with automation of the repetitive steps — enrichment, initial containment, notification — and human decision points preserved where mistakes are expensive. The goal is to cut response time from hours to minutes in the highest-risk scenarios.
Metrics and continuous improvement
Indicators that measure outcomes: mean time to detect and to contain, detection coverage per attack technique, false positive rate, and cost per case. Structured post-incident reviews that turn into detection and process improvements, not shelf reports.
Exercises and validation
Tabletop simulations with executives, joint attack-and-defense exercises to validate detections in practice, and periodic testing of response plans — because an untested plan is a hypothesis.
Applied experience
Detection and response models designed for operations in regulated and critical infrastructure sectors, with emphasis on coverage driven by real threats and on measurable reduction of the time between detection and containment.
Frequently asked questions
Is it better to build an internal SOC or hire a managed service?
It depends on scale, criticality, and the ability to retain talent. Smaller operations rarely sustain quality 24×7 coverage internally; critical operations rarely can outsource the knowledge of their own environment. The hybrid design — outsourced continuous monitoring with internal detection engineering and major incident response — is often the optimum, but the right answer comes from a cold analysis of your case, and that's what we deliver.
We already have a monitoring platform. Why do incidents still get through?
Because a tool is not a program. Platforms detect what someone taught them to detect: without use cases tied to your business's threats, without alert curation, and without rehearsed response, the platform becomes an expensive log repository. The consulting work is exactly closing that loop — from threat to detection, from detection to containment.
What is detection engineering?
It's treating detections as an engineering product: every use case has a threat hypothesis, documented logic, a test that proves it works, an owner, and a review cycle. The opposite of the common model — enabling factory rules and living with the noise — and the difference between a SOC that reacts to alerts and one that hunts what matters.
Need a conversation about Detection & Response (SecOps)?
Describe the scenario in two lines. We'll answer with an honest read — including if the answer is that you don't need us.