THREAT DETECTION

Detection that sees the
whole attack surface.

Behavioral models watch endpoint, cloud, identity, and network as one continuous graph — surfacing the handful of signals that actually mean something.

COVERAGE
4 surfaces · 1 graph · 0 blind spots
WHAT WE DETECT

Signal, not noise.

Behavioral & UEBA

Anomalies in how users and machines actually behave.

Identity threats

Token theft, OAuth abuse, privilege escalation.

Cloud runtime

Container, workload, and control-plane attacks.

ATT&CK coverage

Every detection mapped to a technique, automatically.

MITRE ATT&CK COVERAGE

The whole matrix, watched.

Every technique an adversary could reach for, mapped to a live detection — read across the kill chain, tactic by tactic.

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DETECTED PARTIAL NO TELEMETRY91% techniques covered
SIGNAL CORRELATION

Three weak signals.
One certain detection.

Alone, each event is below threshold — the noise every other tool drowns in. Correlated across surfaces and time, they resolve into a single high-confidence detection.

IDENTITY
New-device login
conf 0.31 · below threshold
LOW
ENDPOINT
LOLBin execution
conf 0.38 · below threshold
LOW
NETWORK
Rare outbound TLS
conf 0.29 · below threshold
LOW
CORRELATE
DETECTION · TD-9907CRITICAL
Hands-on-keyboard intrusion

Compromised identity executing living-off-the-land tooling and beaconing to new infrastructure — the same actor, across three surfaces.

0.97
CONFIDENCE
T1059
+3 TECHNIQUES
DETECTION EFFICACY

Precision you can staff around.

Detections analysts trust enough to act on — measured, tuned, and held to a standard.

99.2%
Detection precision — alerts that are real
< 5 min
Median time to detect across surfaces
96%
Recall on red-team emulated attacks
90%
Fewer alerts than signature-only tools
// THREAT DETECTION

Detection that sees the
whole attack surface.

Behavioral models watch endpoint, cloud, identity, and network as one continuous graph — surfacing the handful of signals that actually mean something.

COVERAGE
4 surfaces · 1 graph · 0 blind spots
// WHAT WE DETECT

Signal, not noise.

Behavioral & UEBA

Anomalies in how users and machines actually behave.

Identity threats

Token theft, OAuth abuse, privilege escalation.

Cloud runtime

Container, workload, and control-plane attacks.

ATT&CK coverage

Every detection mapped to a technique, automatically.

4.2B
Signals / day
560+
ATT&CK techniques
99.2%
Detection precision
7
Detections to review
// MITRE ATT&CK COVERAGE

The whole matrix, watched.

ATT&CK NAVIGATOR · ENTERPRISELIVE
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DETECTED PARTIAL NO TELEMETRY91% techniques covered
// DETECTION FEED · LIVE

Signal, not noise.

DETECTIONDESCRIPTIONTTPCONFSEV
TD-9907hands-on-keyboard intrusion · 3 surfacesT10590.97CRIT
TD-9904OAuth consent grant to rogue appT15280.81HIGH
TD-9901crypto-miner spawned in workloadT14960.88HIGH
TD-9898off-hours bulk file accessT11190.64MED
// SIGNAL CORRELATION

Three weak signals. One certain detection.

IDENTITY
New-device login
conf 0.31 · below threshold
LOW
ENDPOINT
LOLBin execution
conf 0.38 · below threshold
LOW
NETWORK
Rare outbound TLS
conf 0.29 · below threshold
LOW
CORRELATE
DETECTION · TD-9907CRITICAL
Hands-on-keyboard intrusion

Compromised identity executing living-off-the-land tooling and beaconing to new infrastructure — the same actor, across three surfaces.

0.97
CONFIDENCE
T1059
+3 TECHNIQUES