Cybersecurity

and Compliance

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Ensure continuous compliance across all service levels through zero-configuration monitoring.

Reduce alert fatigue through adaptive learning that distinguishes real threats from normal variations.

Achieve effortless compliance monitoring across custom SLOs and business-critical services.

Prevent SLA breaches before customer impact with 15-30 minute early warnings and confidence scoring.

Stop revenue loss through predictive breach prevention with actionable confidence scores.

Build bulletproof vendor relationships with automated evidence collection for dispute resolution.

Maintain continuous compliance tracking across all service levels without manual threshold management.

SLA/SLO Guardian

Ready to prevent your next SLA breach instead of scrambling to fix it? Experience the only platform that turns silent degradation into actionable early warnings with confidence scores.

Barclays Bank Payment Gateway Failure (Jan 2025)

 

What happened:

Barclays experienced a three-day outage in its payment gateway system, right during the UK’s self-assessment tax deadline. The failure stemmed from undetected performance degradation in backend services.

 

Impact:

  • Over 50% of transactions failed, causing widespread public outrage.

  • Barclays paid $6.6 million in compensation for customer distress.

  • SLA breaches triggered contractual penalties and regulatory scrutiny.

 

How AI-Powered SLA Monitoring Could Help:

  • Proactive alerting would have identified transaction failures before they spiked.

  • Custom SLO tracking could have flagged critical business transactions at risk.

  • Predictive analytics would have enabled preemptive scaling or rerouting to avoid downtime.

Slack’s Global Outage (Jan 2021)

 

What happened:

Slack, the widely used corporate communication platform, suffered a global outage that lasted nearly five hours. The root cause was a server scaling issue that degraded performance silently before triggering a full-blown outage.

 

Impact:

  • Millions of users were unable to communicate during critical business hours.

  • SLA violations went unnoticed until users began reporting issues.

  • Slack faced reputational damage and potential financial penalties due to service disruption.

 

How AI-Powered SLA Monitoring Could Help:

  • Real-time risk scoring would have flagged the scaling bottleneck early.

  • Predictive alerts could have warned ops teams few hours before the crash.

  • Automated compliance tracking would have ensured visibility into SLA thresholds being breached silently.

Real world examples where Beemon could make a difference: 

With our predictive SLA monitoring platform, your teams can:

Predictive SLA/SLO Protection

Stop losing revenue to silent SLA breaches. Our AI-powered platform predicts violations 15-30 minutes before they impact customers, transforming your team from crisis responders into proactive guardians of business continuity.


Your customers shouldn't be your first alert system. Unlike traditional monitoring that alerts after damage is done, our intelligent system automatically maps your entire service ecosystem (including external APIs) and learns what "normal" looks like for your specific architecture. By automatically learning your service relationships and performance baselines, we provide complete visibility into the hidden risks that traditional monitoring misses, especially those silent external API degradations that can destroy customer experience without warning.
 

When degradation patterns emerge, you get actionable warnings with enough time to prevent customer impact and protect your reputation. When our predictive models detect degradation signatures, your team receives precise alerts with confidence scores. It is giving you the visibility and time needed to maintain perfect SLA compliance.
 

Transform from damage control to damage prevention with intelligence that works around the clock to protect your business continuity before problems become crises.

Eliminate noise and focus efforts through adaptive thresholds that learn your unique traffic patterns.