Endpoint
Ransomware precursors, credential dumping, attackers using built-in admin tools.
The Romulus AI-SOC Platform · AI-Powered. Human-Led.
Romulus puts agentic AI on every alert from the tools you already run, 24/7. Experts make the calls that matter.
Eight signal types come together in one place.
Agentic AI applies 200+ detection models, clears the noise and isolates compromised devices at L1, before a threat can spread.
Confirmed threats go to your team or ours. Experts approve every high-impact response.
actionable alert a day reaches your team, on average
AI triage on every alert, nights and weekends included
detection models and runbooks
for an analyst to override any AI verdict
Representative figures. Actuals vary by environment, scope and signal volume.
Eight signals. One platform.
Every signal lands on one timeline, so a phishing click, a new sign-in and an odd process read as one attack.
Ransomware precursors, credential dumping, attackers using built-in admin tools.
Command-and-control beaconing, lateral movement, data staged for theft.
Password spraying, suspicious admin activity, and the context that confirms a verdict.
Access key abuse, privilege escalation, storage left open to the internet.
Stolen credentials, session hijacking, MFA fatigue, impossible travel.
Business email compromise, invoice fraud, credential phishing, spoofed domains.
Passwords typed into lookalike sites, malicious extensions, risky downloads.
Exploitable weaknesses, and alerts on systems that are actually exposed.

Microsoft Defender

CrowdStrike

SentinelOne

Sophos
Splunk
Bitdefender

Check Point

Phin Security
A real alert, triaged by Romulus
Microsoft Defender flags a "hacking device" on an accounting workstation. Romulus finds three prior tickets where the customer confirmed the same braille display and recommends closing it as a known false positive. An analyst can override in one click.
alert to recommendation
confidence
analyst time returned
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30 minutes with a Romulus specialist. Bring your stack and we'll walk through: