CloudGuardian AI detects threats, diagnoses failures and fixes routine incidents on its own, around the clock, so your engineers can focus on building instead of firefighting.

Automatically finds issues, understands root cause, and explains the why.

Executes low-risk fixes autonomously and requests approval for higher-risk changes.

Validates the outcome, creates audit trails, and continuously learns to prevent recurrence.
Security, reliability and compliance across your entire AWS environment.
01
EDR, XDR, CDR, NDR, DLP, PAM, IDS/IPS, compliance and more in a single autonomous platform.
02
Low-risk fixes run automatically. Reboots, scaling and credential revocation wait for approval.
03
Runs on a local LLM with no cloud dependency or API keys. Evidence stays on your network.
04
A 6-stage pipeline (collect, classify, root cause, remediate, validate, report) resolves routine incidents in seconds instead of 45-90 minutes of manual work.
05
RootCauseAI ranks causes with evidence, timeline, 5 Whys, blast radius and a one-click postmortem. AnomalyRadar reports real anomalies only, with plain-language advice.
06
Every attacker IP is checked against MISP, OpenCTI, TAXII and public blocklists (~31,000 indicators). "Emotet botnet C2, confidence 90" beats a bare IP address.
A 6-stage autonomous workflow from detection to proof.
Let CloudGuardian AI handle the routine, so your team can focus on what matters most.
Finds and prioritizes real risks before they become incidents.
Root cause analysis with evidence, timelines and plain-language advice.
Automates low-risk remediation and requests approval for higher-risk actions.
Validates the fix, creates audit trails, and learns to prevent recurrence.
Autonomous operations. Measurable outcomes.
MCP tools
UI pages
Autonomous
Avg. routine resolution
Downtime reduction
Services
Portable
Access control
Cloudly Infotech Limited
Typically replies within half an hour
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