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Platform › Capabilities › SIEM
Capability 02 · SIEM

Threats — not 4,000 alerts in a queue.

2,000+ managed rules, UEBA and ML anomaly detection — with IP, domain and dark-web intelligence applied to every signal automatically. Kill-chain scoring rolls events into threats.

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Log SIEM Vuln Gov AI
One data
model
What it is

A SIEM that comes with detections — and intelligence built in.

Not an empty rules engine. 2,000+ managed detections, behavioural analytics and threat intel are running the day you connect a source. Kill-chain scoring underneath turns the noise into threats.

What it does

Four layers, working together.

01

2,000+ managed rules

Across cloud, endpoint, identity, network and SaaS — written, tuned and maintained by Secure60. New content pushed continuously, so you don't write detections from scratch.

  • MITRE ATT&CK aligned
  • Pre-tuned per integration
  • Maintained — you don't write content
02

UEBA & ML anomaly detection

Behavioural baselines for every user and host, plus statistical models for the things rules can't anticipate — outliers in volume, timing, geography and behaviour.

  • Per-user and per-host baselines
  • Lateral-movement detection
  • Time-series, volume & geographic outliers
03

Threat intelligence, built in

IP and domain reputation and malicious-traffic feeds are matched against every signal at write time — no separate console, no manual lookups. Dark-web scanning available as an add-on.

  • Reputation & malicious-traffic feeds
  • Auto-applied to every signal
  • Optional dark-web monitoring
04

Kill-chain scoring

Signals cluster by entity and kill-chain phase, enriched with intel. The platform shows you threats — not 4,000 individual alerts.

  • Entity-indexed
  • Phase-aware scoring
  • Intel-enriched automatically
How it works

From event to triaged threat — automatically.

1

Event

Auth log, EDR telemetry, cloud audit trail

→
2

Rule + UEBA + ML

Evaluated against 2,000+ rules, baselines, anomaly models

→
3

Signal

Enriched with IP/domain reputation and threat intel

→
4

Threat

Clustered by entity + kill-chain phase, scored, surfaced

Cross-cutting · AI Security

Detect prompt injection. Find shadow AI.

The SIEM includes AI-specific signals: prompt-injection patterns, LLM data exfiltration, anomalous AI API usage, compromised model credentials. Every model call and digital worker is audited.

See AI Security →
Who it's for

Made for the team you actually have.

SOC analysts

Stop wading through alert queues. See threats, not signal noise. The intel context arrives with the alert — pivot to the entity, see the timeline, act.

Security engineers

Don't write content from scratch — get 2,000+ rules curated by Secure60. Author your own on top. Tested in your data.

CISOs & security leaders

One dashboard, one risk picture, one platform. Threats, posture and audit evidence in the same console.

One platform

How it works with the other capabilities.

Every signal the SIEM raises carries straight into the rest of the platform — same entities, same timeline, same console.

01

Log Management

Every event the SIEM scores is the same event Log Management retained. One ingestion, one schema.
03

Vulnerability Mgmt

A signal on a host shows you the host's known vulnerabilities. Exposure context, instantly.
04

Governance

Detected threats become evidence. Control coverage reports show what fired, what didn't, and where.
05

AI Security

AI-specific detections run in the same pipeline — prompt injection, shadow AI, anomalous model calls.

See it on your data in four weeks.

2,000+ rules running on your sources. UEBA baselining. Intel enriching every signal. First threats to your team — real cases.

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