Security Operations Platform
Telemetry in. Protected Outcomes Out.
DAAKYI's security operations platform collects telemetry across your estate, correlates it in an analytics core and puts 24/7 analysts behind every alert.
Executive Summary
- 01A security operations platform is only as strong as its telemetry coverage, its correlation logic and the judgment of the analysts behind it.
- 02Detection quality comes from continuous engineering, not a one-time rule import.
- 03Every incident should end as a documented case that improves future detection and supports regulatory reporting.
In Depth
How Security Operations Platform Works
Telemetry Quality Sets the Detection Ceiling
A SOC can only detect what it can see. Collection begins with log sources across endpoints, firewalls, cloud control planes, identity providers and applications. Each event is parsed into a common schema, timestamped consistently and enriched with asset owner, criticality and user context. Without normalization, a rule written for one vendor's firewall logs fails on another's. Without enrichment, analysts waste time asking who owns a host. Coverage gaps, silent log sources and clock drift are monitored as operational risks, because a quiet dashboard may mean a broken pipeline rather than a safe estate.
Correlation Turns Events into Incidents
Single events rarely prove an attack. A failed login is noise. A failed login, followed by a success from a new country, then a mailbox rule change, is a story. Correlation joins events across sources and time, scores them by asset value and maps them to adversary behavior. Detection engineers write, test and retire rules against real data, measuring false positives and missed detections. Threat intelligence adds context, such as known infrastructure or actor habits. The result is fewer, richer alerts that an analyst can act on without rebuilding the timeline by hand.
Analysts Decide and Responders Contain
Triage is a judgment task. Analysts confirm whether an alert is real, determine scope and decide whether to escalate. Confirmed incidents move to responders who contain affected hosts, disable compromised accounts, preserve evidence and coordinate with system owners. Hunting runs alongside, starting from a hypothesis about attacker behavior and searching data for activity no rule caught. Every action is recorded in a case, so decisions can be audited, handed between shifts and reported to regulators when notification duties apply. Lessons then feed back into detection rules, closing the loop.
A quiet dashboard proves nothing until you know every log source is alive, parsed and watched.
How It Works
Telemetry → Collection → Analytics Core → 24/7 SOC → Client Outcomes
Telemetry
- Endpoints
- Network
- Cloud
- Identity
- Applications
- OT & IoT
Collection
- Event collection
- Normalization, parsing and enrichment
Analytics Core
- SIEM & XDR correlation across telemetry
- Threat intelligence: indicators and actor context
- Detection engineering: use cases tuned to you
24/7 SOC
- Alert triage: L1 and L2 analysts
- Threat hunting: hypothesis-led hunts
- Incident response: containment, forensics
Client Outcomes
- Orchestrated response
- Case management
- Client dashboards
- Incident reporting
Feature 1 of 5
Telemetry collection
Endpoints, network, cloud, identity, applications, OT and IoT feed event collection with normalization and enrichment.
Who runs what
DAAKYI operations and technology partners
DAAKYI operations
- Analytics core and detection engineering
- 24/7 SOC analysts (L1 and L2)
- Threat hunting and incident response
- Intelligence correlation
- Case management and client reporting
Technology partners
AI‑Enabled Cybersecurity Operations
- Attack Surface ManagementInternet-facing assets and shadow IT
- Continuous Exposure MonitoringNew exposures and misconfigurations
- Third-Party ExposureExposure insight on suppliers
- Risk-Based PrioritizationRanked by exploitability and impact
- Intelligence CorrelationAlerts matched to indicators and actors
- Automated Alert EnrichmentContext added before triage
- SOC Workflow AutomationPlaybook-driven containment
- AI-Assisted InvestigationAI agents that draft investigations
Representative view
Use Cases
Where Organizations Put It to Work
01
Round‑the‑Clock Monitoring Without Building a SOC
Put trained analysts behind every alert, day and night, without recruiting and retaining a full in-house team.
02
One View Across a Hybrid Estate
Correlate endpoint, network, cloud, identity and OT telemetry so an attack that crosses layers is seen as one incident.
03
Faster Containment of Confirmed Threats
Move from detection to agreed containment actions quickly, with escalation paths set before an incident starts.
Product Journey
Discover, Engage, Onboard, Operate
- 1
Discover
Inventory log sources, critical assets and current detection coverage.
- 2
Engage
Choose the service tier, priority use cases and escalation paths.
- 3
Onboard
Connect telemetry, tune detections and test escalation end to end.
- 4
Operate
Analysts triage, investigate and respond around the clock, with regular service reviews.
Methodology
The Method, Step by Step
- 1
Scope and Baseline
Define which assets, business services and regulatory duties the SOC must protect. Inventory existing log sources, current detections and known gaps. Agree on severity definitions and escalation contacts so that, when an alert fires, everyone already knows who decides and who acts.
- 2
Onboard Telemetry
Connect priority sources first, usually identity, endpoints, perimeter and cloud. Build parsers, map fields to the common schema and verify that events arrive complete and on time. Confirm expected volumes per source so later silence becomes a visible signal.
- 3
Tune Detections
Select use cases based on likely threats to the organization, not a generic catalog. Test each against historical data and simulated attacker behavior. Adjust thresholds, exclusions and severity until alert volume is manageable and every alert has a defined first action.
- 4
Operate and Triage
Analysts work the alert queue against documented playbooks, enrich with intelligence, and escalate confirmed incidents. Hunts run on a schedule. Each case records evidence, decisions and timestamps, creating an audit trail that supports handovers, reviews and external reporting.
- 5
Review and Improve
Hold regular reviews of incidents, false positives, missed detections and coverage. Convert every lesson into a changed rule, playbook or collection source. Report trends to leadership so investment decisions rest on observed risk rather than assumption.
Threat Scenarios
What It Looks Like in Practice
Credential Theft and Account Takeover
How It Shows Up
Impossible-travel logins, new multifactor device registrations and unusual mailbox forwarding rules appear within minutes of each other.
Response
Analysts correlate identity and email events, force session revocation and password reset, then search for the same actor across other accounts.
Ransomware Precursor Activity
How It Shows Up
Backup services are stopped, shadow copies are deleted and administrative tools run on hosts that never used them before.
Response
Responders isolate affected endpoints, block the spreading account and preserve memory and disk evidence before restoration begins.
Cloud Misconfiguration Abuse
How It Shows Up
A storage bucket policy changes to public access, followed by large outbound transfers from an unfamiliar address.
Response
The SOC reverses exposure with the cloud owner, reviews access logs for what was retrieved and records findings for breach assessment.
Threat in Operational Technology
How It Shows Up
A plant network sees unexpected remote sessions or commands from a host that normally only reads sensor data.
Response
Analysts validate against engineering schedules and contain through segmentation, avoiding actions that could disrupt safe process operation.
| Scenario | How It Shows Up | Response |
|---|---|---|
| Credential Theft and Account Takeover | Impossible-travel logins, new multifactor device registrations and unusual mailbox forwarding rules appear within minutes of each other. | Analysts correlate identity and email events, force session revocation and password reset, then search for the same actor across other accounts. |
| Ransomware Precursor Activity | Backup services are stopped, shadow copies are deleted and administrative tools run on hosts that never used them before. | Responders isolate affected endpoints, block the spreading account and preserve memory and disk evidence before restoration begins. |
| Cloud Misconfiguration Abuse | A storage bucket policy changes to public access, followed by large outbound transfers from an unfamiliar address. | The SOC reverses exposure with the cloud owner, reviews access logs for what was retrieved and records findings for breach assessment. |
| Threat in Operational Technology | A plant network sees unexpected remote sessions or commands from a host that normally only reads sensor data. | Analysts validate against engineering schedules and contain through segmentation, avoiding actions that could disrupt safe process operation. |
Deliverables and Roles
What You Receive, and Who Does What
| Deliverable | Purpose |
|---|---|
| Log Source and Coverage Register | Shows which assets are monitored, which are not and why. |
| Detection Use Case Catalog | Documents each rule, its data needs, severity and mapped adversary technique. |
| Response Playbooks | Give analysts agreed steps for each incident type, including approval limits. |
| Incident Case Records and Reports | Preserve evidence and decisions for management, auditors and regulators. |
| Periodic Security Posture Review | Translates alert trends and hunt findings into prioritized improvements. |
| Role | Responsibility |
|---|---|
| SOC Analyst (Provider) | Triages alerts, validates threats and escalates confirmed incidents with supporting evidence. |
| Detection Engineer (Provider) | Builds, tests and tunes correlation rules and maintains parsers. |
| Incident Responder (Provider) | Leads containment, forensic collection and recovery guidance during confirmed incidents. |
| Security Owner or CISO (Client) | Approves response authority, accepts risk and owns regulatory notification decisions. |
Maturity Model
Where Organizations Typically Stand
Stage 1
Reactive
Logs are collected inconsistently and alerts are reviewed when someone has time. Incidents are usually discovered by users or third parties.
Stage 2
Monitored
Core sources feed a central platform with basic rules and defined triage. Coverage gaps and noisy alerts remain common.
Stage 3
Managed
Detections are tuned to the environment, playbooks are followed and cases are documented. Coverage is measured and reviewed.
Stage 4
Proactive
Hunting, intelligence and adversary simulation continuously test and extend detection. Findings reshape architecture and controls.
Frameworks and Regulation
The Standards That Shape This Work
NIST CSF 2.0
Security operations primarily supports the Detect and Respond functions, and feeds improvement into Govern, Identify, Protect and Recover.
MITRE ATT&CK
Its 14 enterprise tactics provide a common language for mapping detections, hunts and coverage gaps.
NIST SP 800-61
Provides guidance on incident handling that shapes playbooks, evidence handling and post-incident review.
Ghana Cybersecurity Act, 2020 (Act 1038)
Provides for incident reporting and protection of Critical Information Infrastructure, so SOC records must support timely, accurate notification.
Buyer Guidance
Choosing the Right Provider
What to look for
- Insist on visibility into log source health, not only alert counts.
- Prefer detection content mapped to adversary techniques and tested against your own data.
- Confirm analysts can take defined containment actions, not merely send notifications.
- Require case records detailed enough to support audits and regulator notification.
Questions to ask a provider
- How do you detect and report a log source that goes silent?
- Who may isolate a host or disable an account, and under what approval?
- How are false positives measured and reduced over time?
- What evidence do we receive after an incident closes?
Technical Detail
For Architects and Engineers
Parsing, Schema Mapping and Enrichment
Parsing converts raw log text into structured fields. Each source needs a parser that extracts source address, destination, user, action and outcome, then maps them to a common schema. Timestamps are normalized to a single time standard, since correlation across time zones or drifting clocks produces false sequences. Enrichment adds context at ingest or query time, such as asset criticality, owner, geolocation and identity attributes. Parser failure is the hidden risk. When a vendor changes a log format, fields silently go empty and rules stop matching. Monitoring parse error rates and expected event volume per source catches this before an attacker exploits the blind spot.
Detection as Code and Coverage Mapping
Detection as code treats rules like software. Each rule lives in version control with a description, data requirements, severity logic and the technique it targets. Changes pass peer review and testing against sample attack data before release. Mapping rules to MITRE ATT&CK shows which of the 14 enterprise tactics are covered and where gaps remain, though coverage on paper is not detection in practice. Simulated adversary activity confirms that alerts actually fire. Rules that produce repeated false positives are tuned with narrowly scoped exclusions, or retired, and each decision is documented so analysts do not learn to ignore the queue.
Glossary
Key Terms
- Normalization
- Converting differently formatted logs into one consistent field structure.
- Use Case
- A defined detection scenario with data sources, logic, severity and response action.
- Threat Hunting
- Hypothesis-led searching of data for attacker activity that existing rules missed.
- Containment
- Actions that stop an incident spreading while preserving evidence.
FAQ
Questions About Security Operations Platform
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