Sensilla turns raw telemetry into understood threats, combining machine learning, NLP, and human judgment in one managed security platform.
Three reinforcing AI capabilities form a closed-loop security system where every signal is captured, every behavior is interpreted, and every response is executed with precision.
Behavioral baselines built per-device, per-user, per-network segment. Anomalies surface in real-time. Continuously learning models detect lateral movement, credential abuse, and data exfiltration patterns that signatures miss.
Every alert is translated into plain language your team can act on. NLP parses log data, extracts IOCs from threat intel feeds, and generates human-readable incident summaries — cutting mean time to understand from hours to seconds.
Playbooks execute containment actions in milliseconds — isolating hosts, blocking IPs, quarantining files. Every automated action is logged, reversible, and subject to human override. Speed without recklessness.
AI handles the volume; your analysts make the decisions that matter. Every escalation includes full context, recommended actions, and one-click approval. Humans stay in command — automation stays in service.
Every capability integrated. Every signal correlated. Every response accountable.
24/7 threat monitoring backed by AI triage and human-verified response. We don't just alert — we investigate, contain, and remediate.
Full network visibility through passive traffic analysis and AI-powered behavioral detection. See lateral movement and C2 channels in real time.
Automated playbooks turn alerts into action — triaging, enriching, and responding in seconds. Orchestration connects your entire security stack into a single, coordinated workflow.
Log aggregation and correlation without the complexity. AI-enriched alerts cut through noise to surface genuine threats.
Continuous scanning prioritized by actual exploitability and business context — not just CVSS scores. Know which vulnerabilities matter.
Hypothesis-driven hunting by experienced analysts, augmented by AI pattern recognition. We go looking for threats that haven't triggered a single alert — finding adversaries already inside.
Every critical response action is analyst-reviewed. The system gets smarter because human judgment feeds back into ML models.
Telemetry streams in from network taps, endpoints, cloud environments, and log sources. Every privilege change, every event, every authentication attempt.
ML models identify anomalies. Correlation engines connect disparate signals across network, endpoint, and cloud telemetry into coherent attack narratives.
Accelerating communications, improving documentation, enabling instant interpretation of complex events, and automating research across threat intelligence sources.
Analysts review every high-severity finding before action is taken. Context is added, false positives are filtered, and individual customer preferences are confirmed.
Automated playbooks execute approved actions. Every outcome feeds back into the ML pipeline, making future detection faster and more accurate.
Learn how Sensilla's AI-powered security intelligence reveals threats hiding in your network — before damage is done.