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IT & Operations

Stop firefighting.
Start operating.

Infrastructure that runs itself — 21 days before the alert fires.

APEX agents resolve P2–P4 incidents before your engineers open Slack. Cortex matched last night's DB pool trend to the November 2024 outage pattern — with 87% confidence — and drafted the P2 ticket, attached the runbook, and routed it to the on-call DBA. While you slept.

21d
infrastructure early warning
80%
alert noise eliminated
4 min
avg MTTR (from 47 min)
99.9%
SLA compliance
TAO Operations · IT Director View
LIVE
🖥
Production
● OPERATIONAL
🗄
Database
● MONITORING
🌐
API Gateway
● OPERATIONAL
Incident Stream · All Environments
LIVE
APEX
DB-03 pool trend — 8 day warning
+2.3%/day · 87% match to Nov 2024 P1 · Runbook attached
now
AUTO
INC-0219 resolved autonomously
Memory leak · PROD-API-02 · Restart + SLA safe
2m ago
P2
CPU spike — batch processing node
+2 nodes recommended · Auto-approved · Scaling
7m ago
DONE
Change CAB-0441 completed
DB index rebuild · Zero customer impact · Low-risk window
12m ago
P3
SSL cert expiry — staging.api
11 days remaining · Renewal queued · Jira created
18m ago
AUTO
Patch cycle complete — 14 nodes
CVE-2026-1142 · Zero-downtime rolling update
44m ago
🧠 Cortex — Pattern Detected
87% match to Nov 2024 outage · DB-03 pool +2.3%/day
Predicted breach: 8 days · SLA risk: $420K
Agent: P2 ticket + runbook → DBA approval pending
Why IT Teams Burn Out

Your engineers are firefighting.
They should be building.

🔥
3am pages for incidents that were visible for days
The DB pool was trending for 11 days. The alert fired at 2am. Cortex would have flagged it on day one — 21 days before it became a P1.
📢
Alert fatigue hiding real signals
Your monitoring fires 400 alerts a day. Your engineers tune out 80% of them. The real signal is buried in the noise — until it isn't.
📋
The same runbook, run manually, every time
Disk full? Same cleanup steps. Memory leak? Same restart sequence. Senior engineers shouldn't be executing runbooks they wrote 2 years ago.
💸
Cloud spend surprises at month end
A misconfigured auto-scaling group ran for 18 days before anyone noticed. Cortex detects cost anomalies within hours — not at billing time.
Incident Auto-Resolution
Predictive Failure Detection
Change Risk Assessment
Alert Noise Reduction (80%)
Runbook Automation
ITSM Ticket Automation
Capacity Planning
Cloud Cost Optimization
Security Anomaly Detection
SLA Monitoring
Patch Management
Configuration Drift Detection
Root Cause Analysis
ServiceNow Integration
Incident Auto-Resolution
Predictive Failure Detection
Change Risk Assessment
Alert Noise Reduction (80%)
Runbook Automation
ITSM Ticket Automation
Capacity Planning
Cloud Cost Optimization
Security Anomaly Detection
SLA Monitoring
Patch Management
Configuration Drift Detection
Root Cause Analysis
ServiceNow Integration
Use Cases by Incident Type

Every incident.
The right response.

TAO auto-resolves 70%+ of incidents without human involvement. The rest get the right person — with context already assembled. Select a severity to explore.

P1Critical — Business stopping
P2Major — Significant degradation
P3Minor — Limited impact
PREDProactive — Before it happens
P1 Critical — Business-stopping incidents. Human decision-makers are in the loop. APEX assembles everything they need before they open their laptop: root cause hypothesis, affected services, runbook, customer impact, stakeholder communications drafted and staged.
P1 · CRIT
Production Outage — Full Service Down
<4 min MTTR

APEX detects the outage via synthetic monitoring, correlates with logs and deployment history, surfaces the most likely root cause from Cortex's 18-month incident history, and assembles the war room brief — before the on-call team has read the alert. Humans make the P1 decision. Agents do the work in seconds.

Cortex matches current symptoms against prior P1 signatures — confidence score and evidence chain provided
War room brief assembled: affected services, root cause hypothesis, recommended runbook, estimated customer impact
Stakeholder communications drafted and staged — IT Director approves before broadcast
Post-incident review automated: timeline, contributing factors, action items, Cortex pattern updated
APEXCortex CausalPulse
P1 · CRIT
Security Breach — Incident Response Orchestration
HMAC evidence chain

Security incidents require speed and auditability simultaneously. APEX agents isolate affected systems, capture forensic snapshots, and begin the regulatory notification workflow — while Cortex HMAC-notarizes every action for legal review. Humans make the disclosure decision; agents have everything ready in minutes.

Network isolation of compromised segments within seconds of CISO approval
Forensic snapshot collection — evidence preserved before any remediation action
GDPR 72-hour notification workflow initiated — draft ready for Legal review immediately
Every agent action HMAC-SHA256 notarized — tamper-proof audit trail for regulators
APEXCortex HMAC
P1 · CRIT
Disaster Recovery — Failover Orchestration
RTO <15 min

Primary region goes down. Agents execute the DR runbook while the IT Director approves the failover. APEX orchestrates the entire sequence, validates each step with health checks, and confirms recovery — cutting RTO from 2–4 hours to under 15 minutes.

DR runbook stored and versioned in Cortex — always current, always executable
Failover sequence orchestrated step-by-step with health validation at each gate
Human Approval gate at critical decision points — agent executes on sign-off immediately
Recovery confirmation and stakeholder notification automated post-failover
APEXCortex Memory
P2 Major — Significant service degradation. Known patterns auto-resolved. Novel failure patterns get the right engineer with context already assembled. Agents handle 70%+ without human involvement.
P2 · MAJOR
Database Performance Degradation
Auto-resolved 78%

Cortex has seen this before. When DB connection pool hits 78% with a 2.3%/day growth trend, that's the pattern that preceded the November 2024 outage. Agent creates the P2 ticket with the runbook attached, queries the top connection holders, proposes three remediation options with risk scores, and routes to the on-call DBA. Resolution in minutes — not a 2am war room.

Pattern matched against 87% similarity to prior P1 — specific evidence chain provided
Top connection holders identified — specific queries and sessions surfaced automatically
Three remediation options: pool tuning, query optimisation, scale-up — each with risk/rollback assessment
DBA approves preferred option in Nexus — agent executes and monitors 48 hours post-fix
APEXCortex CausalNexus
P2 · MAJOR
API Latency Spike — Customer Impact
Avg resolution 6 min

P99 response times above 400ms trigger APEX. Agent correlates with recent deployments, infrastructure changes, and downstream dependency health. Known patterns resolved autonomously. Novel patterns routed for human decision with full context pre-assembled.

Service dependency graph queried automatically — Cortex knows your full service map
Recent deployment diff correlated with latency spike timing — probable cause identified
Known patterns auto-resolved: scale, retry, cache clear — no human needed
Customer impact communication drafted and staged — approved before it goes out
APEXCortex Memory
P2 · MAJOR
Third-Party Dependency Failure
Fallback <90 seconds

Payment provider down. Shipping API unavailable. Cortex knows your fallback options — alt provider credentials in the Nexus vault, circuit breaker config, SLA impact estimate. Agent activates fallback while notifying operations.

Fallback routes pre-configured in Cortex — activated automatically on failure threshold
Backup provider credentials accessed from Nexus vault securely
Business impact modeled: which transactions are at risk, which customers affected
Automatic switch-back when primary provider recovers — monitored continuously
APEXCortex MemoryNexus
P3 Minor — Limited impact incidents. Fully autonomous. Ticket created, runbook executed, health confirmed, ticket closed. Your team sees a morning summary — it was already handled while they slept.
P3 · MINOR
Disk Usage Alert — Automated Cleanup
Zero human touch

Disk at 78% on PROD-LOG-01. Agent identifies old log files beyond retention policy, executes cleanup, confirms 30%+ headroom restored, closes the ServiceNow ticket, and adds a Cortex procedural memory entry. Your ops team sees it in their morning summary — it was already handled.

Root cause: log accumulation, large temp files, orphaned backups — identified automatically
Safe cleanup per retention policy stored in Cortex — no ad-hoc deletion risk
Disk growth rate analysed — if trending, long-term remediation ticket created
Cortex procedural memory updated — next similar case resolved faster
APEXCortex Memory
P3 · MINOR
ITSM Ticket Triage & Self-Service
74% deflected or auto-routed

30–50% of service desk tickets are repetitive. Password resets, access provisioning, software installs, VPN issues. APEX agents handle them end-to-end via Nexus self-service. Complex tickets are triaged, categorised, and routed to the right team with context pre-assembled.

Password resets, MFA unlock, access provisioning — resolved via Nexus in minutes, no ticket needed
Ticket categorisation and priority scoring automated — consistent logic vs. manual triage
Known issue detection: 5 tickets with same symptoms → Problem record created automatically
Cortex knowledge base queried first — solution suggested before ticket is submitted
APEXCortex MemoryNexus
P3 · MINOR
SSL/TLS Certificate Expiry Management
Zero expired certs ever

Cortex tracks every certificate expiry date across your entire infrastructure. Agents trigger renewal workflows at 30, 14, and 7 days. Most renewals completed automatically. Wildcard and enterprise certs routed for approval with the certificate request pre-generated.

All certificates tracked in Cortex — expiry dates, issuing CA, affected services
Automated renewal for Let's Encrypt / ACME-compatible CAs
Enterprise cert requests pre-generated and routed to IT ops for approval
Post-renewal health check confirms successful deployment across all nodes
APEXCortex Memory
P3 · MINOR
Patch Management & CVE Remediation
Same-day CVE response

New CVE published. APEX immediately scans your asset inventory for affected systems, generates a risk-prioritised patch plan, schedules patches in the next approved maintenance window, and executes the rolling update with health validation at each step.

CVE impact assessment against full asset inventory — completed in minutes not days
Patch priority scored: CVSS severity × exposure × business criticality
Rolling patch strategy: zero-downtime for critical systems
Patch compliance report auto-generated for security and audit teams
APEXCortex Memory
Proactive Detection — Cortex detects the pattern before any alert fires. DTMW monitors deviations from baseline continuously. You get a brief 21 days before the threshold. The incident never happens.
PRED
Infrastructure Capacity Prediction — 21 Days Early
21 day warning

Cortex DTMW detects deviations from baseline: CPU trending +1.2%/day, connection pool +2.3%/day. None of these are alerts yet. But Cortex knows what they become — because it's seen this trajectory before. You get a brief 21 days before the threshold fires. The incident never happens.

DTMW patent: only deviations from baseline stored and analysed — 5,300× signal compression
Multi-metric correlation: slow resource trends that converge on failure — recognised before they breach
87% pattern match confidence against historical incidents before alerting
Remediation recommendation — scale-up, right-size, or architectural change — provided with the warning
Cortex DTMWAPEXPulse
PRED
Change Risk Assessment & Failure Prediction
Failed changes –60%

Cortex analyses every prior change: what succeeded, what failed, which dependencies were impacted, which day/time patterns correlate with failure. New change requests get an AI risk score before CAB approval. Low-risk changes auto-approved. High-risk ones come with the specific risk factors identified.

Historical change success/failure analysis — configurations, times, and patterns that predict failure
Dependency impact map: which downstream services are affected by this change
Optimal maintenance window recommendation: AI-suggested timing for lowest risk
Low-risk changes auto-approved by APEX — CAB only reviews high-risk items
Cortex CausalAPEX
PRED
Cloud Cost Anomaly Detection
18% avg reduction

Cortex monitors cloud spend daily against per-service baselines. When a service starts consuming 3× its normal compute without a corresponding business event, DTMW fires. You find out in hours, not at month-end billing. Zombie resources, right-sizing opportunities, and spend anomalies all surfaced proactively.

Daily spend monitoring against service-level baselines — not just account-level totals
Zombie resource detection: idle EC2, orphaned RDS, unused load balancers
Right-sizing recommendations: oversized instances with utilisation data and savings estimate
Anomaly detected within hours of occurrence — not discovered at month-end billing
Cortex DTMWAPEXPulse
PRED
Security Anomaly & Configuration Drift Detection
Detection in minutes

Cortex stores your security baseline — approved firewall rules, IAM policies, normal access patterns. When something deviates — privilege escalation at 3am, new outbound port, config change outside approved window — DTMW fires. Not weeks later in the audit. Right now.

IAM privilege escalation outside approved patterns flagged immediately
Network segmentation violations detected: unexpected east-west traffic, new external endpoints
IaC state vs. actual infrastructure compared continuously — drift in minutes
CIS benchmark compliance tracked continuously — not quarterly security scans
Cortex DTMWAPEX
By Role

The right view.
For every IT role.

TAO surfaces different intelligence to different people. IT Director sees business risk. SRE sees root cause. Service Desk Manager sees SLA status. Select your role.

Select role
👔
IT Director / VP
4
🔧
SRE / Platform Eng
4
📊
IT Ops Manager
4
🛡️
Security Analyst
4
🎧
Service Desk Manager
4
⚙️
DevOps / Platform
4
IT Director / VP — Your View

Pulse gives you business-impact intelligence in natural language. Ask anything — infrastructure risk, SLA breach probability, cost anomalies — in under 5 seconds. Board IT report generated automatically. You stop leading with last month's dashboard.

📊
Infrastructure Risk Intelligence via Pulse
Ask "What's our biggest infrastructure risk this quarter?" and get a causal answer grounded in 18 months of incident data — not a status dashboard.
Risk heat map: which systems are trending toward incidents
SLA breach probability with causal attribution
Cost-of-downtime modelled against current risk exposure
📋
Change Governance & Risk Reporting
Every change request risk-scored. Failed change rate tracked over time. Cortex surfaces which teams, systems, and change types drive the most incidents.
CAB prep: risk scores on every change before the meeting
Failed change attribution: root cause linked to team and process
Board-level IT risk summary auto-generated monthly
💰
Cloud Cost & FinOps Intelligence
Pulse surfaces cloud spend anomalies within hours. Right-sizing opportunities presented as a savings dashboard — not a 300-line FinOps spreadsheet.
Spend vs. budget tracked daily per team, service, and environment
Anomaly: service at 3× baseline without business event
Right-sizing and reserved instance recommendations with ROI
🎯
SLA Compliance & Audit Reporting
SLA compliance tracked continuously per service. Cortex maintains the evidence trail. Audit reports generated in minutes, not days. HMAC-notarized for regulators.
Real-time SLA compliance per service and customer tier
At-risk SLA alerts 48 hours before breach probability crosses threshold
Quarterly SLA report auto-generated with cryptographic evidence
Pulse for IT

Any infrastructure question.
Causal answer.
Under 5 seconds.

Pulse gives IT Directors, SREs, and Ops Managers the infrastructure intelligence that was previously buried in monitoring dashboards and postmortems. Natural language. Voice or text. Grounded in Cortex's 18-month incident history.

🎙️Voice or text — ask during a board meeting, get an instant answer
🔗Causal chains — why the incident happened, not just that it did
🧠18-month Cortex incident memory — every pattern, every root cause
🔒HMAC-verified — every answer cryptographically timestamped
Pulse — IT Director View
🎙️
"What's our biggest infrastructure risk right now?"
Pulse answered in 3.8 seconds
Three risks ranked by probability × business impact. Highest: PROD-DB-03 connection pool trending +2.3%/day for 11 days — currently 67% capacity. Cortex matches this to the November 2024 P1 outage pattern at 87% confidence. Predicted breach in 8 days. SLA exposure: $420K. Agent has queued a P2 ticket with runbook — awaiting DBA approval. Second: API-GW-02 memory growth correlated to v2.4.1 deployment. Third: payments.api SSL cert expires in 11 days, renewal queued.
DB-03 → 8-day warningAPI-GW-02 → cache leakSSL → 11 days
✓ HMAC verifiedConfidence: 84%Sources: 8 systems
🎙️
"Why did we have 3 P1 incidents last quarter?"
Pulse answered in 2.4 seconds
All three P1s share a common causal pattern: resource trend indicators appeared 14–21 days before each outage, but were not detected because alert thresholds were set at breach level, not trend level. In all three cases, Cortex's retrospective analysis shows DTMW would have flagged the trend on day 2. Two incidents were deployment-correlated (v2.3.1 and v2.4.0 both introduced connection pool growth). The third was a certificate expiry that fell outside the manual tracking spreadsheet.
✓ HMAC verifiedCortex: 18mo incident history
Agents in Action

IT operations,
running right now.

What TAO looks like inside your IT function — agents handling incidents, changes, capacity, security, and service desk simultaneously.

TAO IT Operations · Ops Manager View · 7 agents running
LIVE
Agent Activity
LIVE
Incident Agent
INC-0221 auto-resolved · DB log rotation · 34GB freed · SLA maintained · ticket closed
just now
Capacity Agent
DB-03 pool monitoring · 87% pattern match · P2 runbook prepared · DBA approval pending
running…
Change Agent
CAB-0443 risk scored · Low risk · Auto-approved · Scheduled Sun 01:00 UTC maintenance window
5s ago
Incident Agent
SSL renewal complete · payments.api · Production validated · Next expiry: 365 days
10s ago
Cortex Signal
⚠ API-GW-02 memory growth +3.1%/day · v2.4.1 deploy correlation: 91% · Cache leak pattern detected
16s ago
Incident Agent
Password resets resolved for 14 employees via Nexus · Zero tickets raised · Self-service
22s ago
Security Agent
Patch cycle complete · CVE-2026-1142 · 23 nodes patched · Zero downtime · HMAC record ✓
29s ago
Cortex Signal
⚠ Analytics cluster spend +280% vs baseline · No business event correlate · Investigating cost anomaly
38s ago
Pending Approval
3
Capacity
DB-03 connection pool fix · Option 1: pool config tune · Low risk · Rollback: instant
Cortex: 87% match to Nov 2024 P1 · 8-day window · $420K SLA exposure
Change
API-GW-02 restart + cache config · INC-0222 · Fix ready · 2-min RTO
Cortex: v2.4.1 cache leak · 91% confidence · Memory growth halts on restart
🧠Cortex Infrastructure Signal87%
db.pool +2.3%/day →
api.p99 >400ms (+8d) →
errors +12% (+9d) →
SLA breach $420K risk
Active
Incident Agent
Capacity Agent
Change Agent
Cortex Monitor ⚠
Security Agent
90-day uptime · production services
All systems operational
API Gateway
99.97%
Database Cluster
99.91%
Payment Service
99.99%
Event Processing
99.94%
90 days · each block = 3 days
Incident
Degraded
Healthy
TAO target: 99.9% · Current avg: 99.95%
IT Operations ROI with TAO

Numbers that IT Directors take to the board.

4 min
avg MTTR, down from 47 minutes manual
80%
alert noise eliminated by Cortex DTMW
21 days
infrastructure early warning lead time
70%+
incidents auto-resolved without human touch
18%
avg cloud cost reduction in 90 days
Cortex Memory

Your infrastructure AI
never forgets.

Cortex stores 18 months of infrastructure signal history — every incident, every root cause, every runbook, every resource trend. The next on-call engineer has the full operational history of your systems available instantly. And DTMW detects deviations from baseline 21 days before they become alerts.

What Cortex stores for IT
🔮 18-month infrastructure signal history
📖 Every runbook and resolution step
🔗 Service dependency map
⚖️ Change history and failure patterns
🛡️ Security baseline and approved configs
🔐 HMAC-notarized chain on all outputs
5,300×
signal compression (DTMW patent)
87%
pattern match confidence avg
100%
outputs cryptographically notarized
CORTEX · IT MEMORY LAYERS
01
Episodic
Every incident, outage, change, and resolution — with timestamp
02
Semantic
Services, servers, configs, dependencies — your infrastructure graph
03
Temporal
18-month resource trends — what each service looked like, when
Patent 2
04
Causal
Which metrics predict which failures — with lag times and confidence
Patent 2
05
Procedural
Runbooks and resolution patterns — learned, versioned, improved
06
Policy
Change windows, escalation rules, SLA thresholds — enforced always
Cortex IT insight — right now
"DB-03 pool at +2.3%/day for 11 days. This exact trajectory preceded the Nov 2024 outage (P1, 6hrs, $420K SLA). Pattern confidence: 87%. Remediation options and runbook staged — awaiting DBA approval."
Connects to your existing IT stack
API-first. No ITSM replacement. TAO reads signals from your existing tools — it doesn't replace them. OpenTelemetry native.

Your next
outage
won't happen.

Book a 30-minute demo. We'll show Cortex detecting the DB pool pattern 21 days before it would have fired your alerts — on infrastructure data that looks like yours.

Works alongside existing monitoringFirst signals in 2 weeksNo ITSM replacement requiredHMAC-notarized from day one