AI-POWERED SECURITY MONITORING

Your Security Data Is Growing.
Your Security Team Doesn't Have To.

AI Security Analyst continuously analyzes cloud, identity, API, network, application,
and infrastructure activity to detect unusual behavior and turn complex security events
into investigation-ready intelligence.

TRUSTED BY INNOVATIVE TEAMS

TechCorp CloudBase SecureStack DataFlow NetGuard CyberPulse

Security data is growing faster than security teams.

As organizations adopt modern cloud infrastructure, the volume of telemetry data explodes. Traditional security tools generate endless alerts without context, leaving small security teams overwhelmed and struggling to separate real threats from noise.

10M+
Events per day
200+
Alert sources
4hrs
Avg investigation time
68%
Alerts lack context

Alert Overload

Legacy SIEMs rely on static rules that trigger false positives constantly. Security analysts suffer from alert fatigue, increasing the risk that a critical true positive gets ignored or missed entirely.

Fragmented Visibility

Security events are scattered across cloud providers, identity providers, and SaaS applications. Attempting to stitch together logs manually is a painful, time-consuming process.

Lack of Context

Raw logs tell you an IP address connected to an endpoint, but they don't tell you if that IP is a compromised vendor, a misconfigured script, or normal employee behavior.

Slow Investigation

When a real threat is detected, analysts spend hours writing queries, pivoting between tools, and documenting timelines before they can even begin to respond to the incident.

HOW IT WORKS

From raw telemetry to security intelligence.

1

Connect

Bring together cloud, identity, application, API, network, and developer security data.

2

Analyze

Apply behavioral analysis, anomaly detection, enrichment, and event correlation.

3

Understand

Use AI-powered investigation to explain suspicious activity and organize relevant evidence.

4

Respond

Give security teams prioritized findings and actionable investigation guidance.

SEE THE DIFFERENCE

An event becomes an investigation.

CRITICAL

Unusual administrative API activity detected

Administrative account accessed 14 previously unused resources within 6 minutes.

92
Unusual resource access Privileged account Behavioral deviation High-frequency API activity New access pattern

AI Investigation Summary

At 14:32 UTC, the privileged identity admin_service_acc initiated a series of API calls from an unrecognized IP address (192.168.1.45). The account sequentially accessed 14 S3 buckets that it had no historical record of accessing in the past 90 days.

Following the access, the GetObject API was called repeatedly, transferring approximately 4GB of data out of the production-customer-data bucket. This behavior heavily correlates with automated exfiltration scripts.

Recommended Next Steps:

  • Temporarily suspend the admin_service_acc IAM role.
  • Block external IP address 192.168.1.45 at the network perimeter.
  • Review the access logs for the production-customer-data bucket to confirm compromised files.
14:32:05 UTC
Successful login from unusual ASN (DigitalOcean) via admin_service_acc
14:33:12 UTC
ListBuckets API called, iterating over 14 distinct resources
14:35:40 UTC
High-volume GetObject requests on production-customer-data bucket
14:38:15 UTC
AI Security Analyst generated Critical Investigation finding
CAPABILITIES

Everything your security team needs.

Continuous Monitoring

Ingest and parse massive volumes of telemetry in real-time across your entire technology stack. Maintain continuous visibility without worrying about data limits or retention constraints.

Behavioral Analytics

Move beyond static rules. Establish dynamic baselines for every user, role, and system in your environment to accurately identify when entities deviate from their normal operating patterns.

Anomaly Detection

Leverage machine learning algorithms to detect subtle, low-and-slow attacks, zero-day behaviors, and compromised credentials that traditional threshold-based alerting completely misses.

Event Correlation

Automatically stitch together seemingly unrelated events across disparate systems. Link a suspicious identity provider login directly to unusual cloud infrastructure API calls in seconds.

AI Investigation

Utilize large language models trained on security data to automatically summarize findings, generate human-readable attack narratives, and provide actionable remediation guidance.

Risk Prioritization

Cut through the noise with algorithmic risk scoring. Focus your team's limited attention only on the highest severity investigations backed by conclusive behavioral evidence.

LIVE DEMO

Experience AI Security Analyst in action.

Explore our interactive demo to see how the platform detects, correlates, and explains security events in real-time.

AI Security Analyst Dashboard
12 Active Investigations Last 24 Hours
92
Unusual administrative API activity detected
Target: admin_service_acc Time: 2 mins ago
75
Multiple impossible travel logins across Okta
Target: j.smith@company.com Time: 45 mins ago
68
Suspicious ingress traffic to internal database
Target: prod-db-primary Time: 2 hours ago
Try the Full Interactive Demo
INTEGRATIONS

Connect the systems you already use.

AWS

Amazon Web Services

Cloud Infrastructure
AZ

Microsoft Azure

Cloud Infrastructure
GCP

Google Cloud

Cloud Infrastructure
OK

Okta

Identity Provider
GH

GitHub

Developer Tools
CF

Cloudflare

Network & Web
+

Custom Sources

Via Webhooks & APIs

Frequently asked questions.

AI Security Analyst is a modern threat detection and investigation platform that continuously analyzes cloud, identity, API, network, and application activity to detect unusual behavior and turn complex security events into investigation-ready intelligence using artificial intelligence.
It connects to your existing telemetry sources, applies advanced behavioral analytics to establish baselines, correlates anomalous events across disparate systems, and then uses specialized AI models to investigate and summarize the findings for your security team.
We natively integrate with major cloud providers (AWS, Azure, GCP), identity systems (Okta, Entra), developer tools (GitHub, GitLab), and infrastructure platforms (Cloudflare, Kubernetes). Custom data can also be ingested via APIs and webhooks.
All data is encrypted in transit and at rest using industry-standard AES-256. We maintain strict tenant isolation, role-based access control, and comply with SOC 2 Type II, ISO 27001, and GDPR requirements.
No, AI Security Analyst is designed to complement your existing SIEM, EDR, and CSPM tools. It acts as an intelligence layer that aggregates signals from these point solutions to build a unified, contextualized view of active threats.
We use an evidence-first approach. When anomalous behavior is detected, our platform gathers all related telemetry and feeds it into fine-tuned LLMs trained on cybersecurity incident response. The AI synthesizes this data into a clear narrative, highlighting risk factors and suggesting remediation steps.
Our platform is built for modern security teams of all sizes. Fast-growing startups use us to act as a force multiplier for their lean teams, while large enterprises rely on our analytics to cut through the noise generated by their massive security data lakes.
You can request early access by filling out the form below. Once approved, onboarding takes minutes—simply connect your primary cloud and identity providers via our secure integrations, and the engine will immediately begin establishing behavioral baselines.

Turn security telemetry into intelligence.

Stop treating every security event as an isolated signal. Build a clearer picture of what is happening across your environment.

Request early access. No credit card required.