Invisible until it isn't.
One place to monitor threats, investigate alerts and coordinate response — telemetry, intelligence and hunting all feeding a single investigation queue.
What it does
SOC alerts and management
Real-time alerts and 24/7 incident management, staffed across Egypt, KSA, the UK, the US and Libya.
Threat intelligence
Every alert enriched with actor attribution, geographic context and exploit data from open, commercial and dark-web sources.
Threat hunting
Hypothesis-driven hunts for adversaries already inside, using behavioral analytics and current ATT&CK TTPs.
Data breach monitoring
Dark-web sources, credential-paste sites and code repositories watched for leaked credentials, records and API keys.
Ticketing and reporting
One workflow from detection to post-incident — engineer tickets, executive summaries and regulator-ready forensics.
Automated containment
Playbooks contain the threat and cut response time before an analyst has to step in.
AI-driven correlation
Correlates telemetry into single incidents and keeps low-fidelity noise out of the queue.
One investigation queue
SIEM, IDS and endpoint signals land in one place instead of three separate consoles.
From first signal to closed incident
Human-led SOC operations with AI-driven correlation and automated containment behind them. Every stage cuts mean-time-to-respond without flooding your team with low-fidelity noise.
- Step 01
Detect suspicious activity the moment it appears
- Step 02
Triage and enrich each alert with threat intelligence
- Step 03
Contain the threat with automated playbooks
- Step 04
Report with executive summaries and forensics
Built the way security teams actually work
AI-assisted triage, with an analyst still holding the pen
SOC AI pulls alerts from your SIEM, investigates them against the raw logs, and proposes a response action for an analyst to approve. Connecting the SIEM is the only required step — every stage after it is off by default and switches on when you're ready.
- 01
Pull from your SIEM
Alerts come from your connected SIEM on demand, or on an interval. A run still going when the next tick arrives is skipped, never queued.
- 02
Investigate the raw logs
Read-only queries gather the evidence behind an alert — what else that host or user did around the same time. Nothing is ever written back.
- 03
Propose, then approve
Each alert becomes a ticket carrying the engine's verdict and confidence, plus a response action that only runs once an analyst approves it.
- 04
Calibrate on outcomes
Closing an alert as a true or false positive is sent back to the engine, so triage gets sharper the longer you run it.
- Response actions ship in dry run — the whole flow executes, nothing reaches your tools.
- Every module has its own on/off toggle, and the LLM starts off.
- Approved actions run through your EDR, AD and firewall: isolate a host, disable an account, block an IP.
Solve what your team is stuck on
Slots into your existing stack
Two-way sync with the tools your team already uses.
Use it on its own
Full featured, dedicated deployment, its own pricing tier. Great fit if you already have the rest of your stack sorted.
See pricingRun it inside the full suite
Every module gets richer when it shares context with the others. One login, one policy engine, one data model.
Explore platformCommon questions about this module
Still stuck? A security engineer will answer within one business day.
Contact usEither way works. White Hawk ingests SIEM, IDS and endpoint signals alongside your existing stack, or runs as the primary investigation queue itself.
Human-led, with AI-driven correlation and automated playbooks handling containment and noise so analysts spend their time on real incidents.
Hypothesis-driven hunts across SIEM logs and network traffic, using behavioral analytics, anomaly detection and TTPs from current ATT&CK observations.
See it running on your data
30-minute technical walkthrough with a security engineer.