Flip the table, and get the attacker situation-room view of the attack.
Connect dots, correlate signals, see the big picture, and save the day. Today.
"An unfair advantage to analysts & hunters in the cat and mouse game!"
" I am really just happy the days of endless rule and playbook tuning are over."
| Without Cypienta | With Cypienta | |
|---|---|---|
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AI Copilot / LLM |
Generates summaries based on isolated incidents and shallow enrichment; prone to hallucinations or missed context.
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Grounded in structured, relevant context grouped by Cypienta, leading to more accurate insights, fewer false leads, and focused investigative guidance.
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SIEM |
Relies on correlation searches that bog down performance; each detection requires expensive searches to find related logs, alerts, and events.
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Each incident is pre-grouped with all relevant data (alerts, logs, telemetry) through Cypienta. Saves compute, avoids redundant searches, and accelerates time-to-triage.
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SOAR |
Triggers playbooks for individual alerts or loosely grouped incidents; enrichment is slow and depends on brittle search logic.
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Playbooks run on fully contextualized incidents—rich with causally linked signals—boosting the likelihood of complete and accurate response automation.
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Case Management |
Cases are siloed around individual alerts or incidents, lacking complete context.
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Each case comes preloaded with the full story: alerts, logs, telemetry, and root cause clusters—ready for triage, response, and reporting.
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SOC Analyst |
Investigations are rare or shallow; often limited to same-user alert searches within arbitrary time windows. |
Investigates causally linked incidents with deep context across users, machines, services, and attack vectors—all automatically grouped by Cypienta.
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Cypienta's Complex Event Processing automatically fuses alerts, events, and logs that carry similar information.
Cypienta's Natural Language Processing pipelines contextually determine what MITRE ATT&CK technique is reflected in each signal.
Cypienta's Knowledge Graph Correlation Engine mines relationships between alerts, events, logs, vulnerability scans and threat intel and groups all relevant data points.
Cypienta's Expert System emulates the decision-making of a human cyber security expert, and stitches clusters of signals into coherent and causal attack kill chains.
Cypienta's Deep Generative Neural Network recognizes threat actors by their choices of threat vectors, techniques, attack strategies and hands-on-keyboard behaviours.
Cypienta's Probabilistic Model utilizes threat actor intelligence, environment threat modelling and attack kill chain insights to predict the next logical step in the attack.
Overwhelmed by the amount of alerts, experts tune alert thresholds and miss the attack traces hidden in weak signals.
Automatically found comprehensive attacks that are worth your attention, as they include various assets and incidents spread across a lengthy timeline.
Every attack consists of various incidents with high temporal proximity, consistent kill chain progression, and relevant contextual relationships.
Automatically detected ATT&CK Techniques, and Tactics for each Alert, put unparalleled threat insights at your fingertips.
Sharing automatically extracted Indicators of Compromise (IoC) and Attack (IoA), mapped to the related ATT&CK Techniques can’t be easier.
Automatically generated STIX2 make sharing the attack flow, patterns, seqeuences, and indicators a piece of cake.
With editable automatically generated diamond reporting, briefing management and partners is seamless.
Correlate, track, attribute, and remediate ALL attacks in real-time.
Cypienta curates insights to junior security analysts, senior security analysts, forensic investigators, incident responders, SOC engineers, threat hunters, security managers, and partners.
Simple, transparent, and predictable.
On-premise deployment? More than 400GB a day? Custom functions?
Automatically correlating signals and traces, to uncover attacker progressions in your organization.
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