Solutions | Threat Intelligence

Intelligence That Stops
Attacks Early

Knowledge of attacker behavior, tactics, and tools in a single platform to help teams stay ahead of threats.

These Great Organizations Trust DeepSeas

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We Catch Attacks Before The Alert Fires

Threat intelligence is at the core of proactive defense. Our analysts study how adversaries operate and gather the data on the DeepSeas platform.

We use it to keep detections and controls current as new tactics and techniques appear.

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The Value For Your Security Team

Faster response

Rules are tuned as techniques emerge, so threats surface sooner.

Fewer false positives

Threat-intel context cuts false positives, so security teams focus on real risk.

Prepared before impact

New intel drives control changes in advance, so attacks can't work against you.

How A Detection Gets Built

Our own team of reverse engineers, threat analysts, and forensics experts continuously strengthens the threat intelligence base.

01

Hypothesis

Analysts take the findings from reverse engineering, incident investigation, and external sources, and turn them into testable hypotheses about attacker activity.

02

Investigation

Our experts investigate each hypothesis until it is ruled out, or until they have a full picture of the attacker's actions, methods, and tactics.

03

New detection rule

When a hypothesis is confirmed, analysts write a new detection rule from the validated behavior.

04

Rollout

Validated findings become detection rules that deploy automatically across every monitored environment, so a threat seen once is caught everywhere, in real time, and contained before it causes damage.

Beyond Traditional MDR

Proactive defense comes from continuously enriching the detection content and intelligence behind our services, helping our services detect attacks more effectively.

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How Our Threat Hunting Is Different

Compare the DeepSeas threat intelligence program with traditional industry practices:

Traditional approach

Fragmented Tools & Workflows

Siloed from security ops — no live risk context or automated updates

Narrow Visibility

Typically limited to one data source like EDR, missing broader attack context.

One-Track Hunting

Often relies solely on structured, attack-based tactics—ignoring the value of exploratory, behavior-based hunting.

DeepSeas approach

Unified Visibility

All telemetry—from EDR, SIEM, cloud, and beyond—is centralized into a single platform, accessible to your entire team.

Complete Context

We analyze data across your entire tech stack, not just one tool or telemetry stream.

Balanced Hunting Approaches

Our analysts use both structured (hypothesis-driven) and unstructured (analytics-led) methodologies to uncover hidden threats faster.

Threat Intelligence Reports From DeepSeas Experts

Read the Reports

Frequently Asked Questions

Detection is passive and automated: systems raise an alert when activity matches a predefined rule. Threat hunting is active and human-led: analysts search for adversaries that never triggered an alert, and every confirmed finding is turned into a new detection rule. Hunting finds what detection misses, then makes detection better.

Most organizations don’t need to build one. Experienced hunters are scarce and expensive, and a mature MDR provider includes continuous hunting as a core part of the service, not a periodic add-on. With DeepSeas, hunting runs in the same platform as detection and response, so you get the capability without the in-house headcount.

Median time from compromise to discovery is still measured in weeks, and every undetected day raises the risk of exfiltration or ransomware. Hunting works outside the alert queue using hypotheses from threat intelligence and attacker TTPs, surfacing intruders that automated tools miss so an incident is contained at its earliest stage.

ATT&CK gives hunters a structured library of attacker techniques mapped to real-world groups. Analysts use it to build hypotheses around specific behaviors (lateral movement, credential access, command-and-control) and design queries that surface evidence across endpoint, network, and identity telemetry.