See the threat before it becomes an incident.
SecureShield AI analyzes behavior across your environment in real time, surfaces the anomalies that matter, and automates the investigation work your team doesn't have time for.
Security teams are drowning in signal, not short on it
The challenge isn't collecting data — it's separating what matters from noise, fast enough to act.
Alert fatigue
Thousands of daily alerts bury the handful that represent real risk.
Slow investigation cycles
Manual triage means hours between detection and understanding scope.
Fragmented tooling
Detection, logging, and response live in disconnected systems.
Limited coverage at scale
Cloud sprawl outpaces what a manual team can consistently monitor.
Everything security operations needs, in one place
Detection, investigation, and response, built on a shared understanding of your environment.
Behavior-based threat detection
Models learn normal activity across users, services, and infrastructure to flag genuine deviations.
Automated incident investigation
Every alert arrives with context, timeline, and root-cause analysis already assembled.
Risk scoring
A continuously updated organizational risk score, broken down by asset and business unit.
Multi-cloud monitoring
Unified visibility across AWS, Azure, GCP, and on-premise infrastructure.
Live network graph
Visualize how systems connect and trace the blast radius of any incident instantly.
Analyst reporting
Board-ready reporting on posture, incidents, and trend lines without manual compilation.
Purpose-built machine learning, not a rules list in disguise
Static rules can't keep pace with how attackers adapt. Our models continuously learn what normal looks like for your specific environment, so detection improves the longer you run it.
From raw signal to a ranked, explainable alert
Every stage of the pipeline is designed to reduce noise before it ever reaches an analyst.
From connection to coverage in four steps
Connect your environment
Integrate cloud accounts, identity providers, and log sources through pre-built connectors.
Establish baselines
Models learn normal behavior across your environment over an initial observation period.
Detect & investigate
Anomalies are scored, correlated, and enriched with context automatically.
Respond & report
Route incidents to the right team and track posture over time.
Built for regulated, high-stakes environments
Financial Services
Detect fraud patterns and insider risk while meeting regulatory reporting requirements.
Healthcare
Monitor access to sensitive systems without disrupting clinical operations.
Government
Defend mission-critical infrastructure with continuous, explainable monitoring.
Retail & Ecommerce
Catch account takeover and payment fraud in real time, at checkout volume.
Manufacturing
Extend visibility into operational technology alongside IT environments.
Technology
Protect fast-moving cloud infrastructure without slowing engineering teams down.
A console built for analysts, not just executives
Every screen surfaces the context an analyst needs to make a decision — not just a score to interpret.
Anomaly Volume Last 8 weeks
Incident Queue Sorted by severity
Held to the same standard we help you meet
Enterprise-grade infrastructure and controls, built for organizations with strict regulatory and compliance requirements.
Data encrypted in transit and at rest across every environment.
Role-based permissions scoped to team, asset, and function.
Built for high availability and regional data residency needs.
Every action logged and available for compliance review.
Fits into the stack you already run
Connect identity providers, cloud platforms, SIEMs, and ticketing systems without replacing what already works.
Built for teams accountable to a board, not just a dashboard
- ◎Fewer, more accurate alerts
Correlation and scoring cut through noise so analysts focus on what matters.
- ⌁Faster investigations
Context arrives with the alert instead of requiring manual reconstruction.
- ▤Explainable by design
Every score and alert comes with the reasoning behind it — no black box.
- ☁Scales with your environment
Coverage grows with your cloud footprint without added headcount.
Case studies
Detailed customer case studies will be published here as current deployments complete their first full review cycle.
Case study coming soon — reducing alert volume without reducing coverage.
Case study coming soon — monitoring access at scale across clinical systems.
Case study coming soon — extending coverage across a fast-growing cloud footprint.
Common questions
Most organizations are fully connected within a few weeks. Behavioral baselines typically take an additional observation period before detection reaches full accuracy.
No. Most customers run it alongside their existing SIEM, feeding enriched, prioritized alerts into their current workflow rather than replacing it.
Behavioral baselines are built per user and asset, and alerts are correlated across signals before being surfaced, which significantly reduces noise compared to static rule sets.
No. Behavioral models are built and scoped to your own environment and are not shared across customer organizations.
Reporting and controls are designed to support common enterprise compliance requirements. Our team can walk through specifics for your industry during a scoping call.
See SecureShield AI on your own environment
We'll walk through detection, investigation, and reporting using a scenario built around your actual use case.
- ✓30-minute session with a solutions engineer
- ✓Tailored to your industry and environment
- ✓No obligation, no pressure
Talk to our team about your organization
Have questions about pricing, deployment, or fit for your environment? Send us a message and a member of our sales team will follow up.
- ✓Response within one business day
- ✓Custom pricing for your scale
- ✓Direct line to a solutions engineer