CyberSecOS — Business Case

Root Problems

Why this sector needs AI-native infrastructure

🕵 Breach Detection: 204 Days Too Late

Average dwell time for an attacker in an enterprise network: 204 days. By the time it's detected, data is exfiltrated and damage is done. CyberSecOS detects anomalous behaviour in seconds — not months.

🚨 Alert Fatigue: 10,000 Alerts, 45% False Positives

SOC analysts process 10,000+ alerts daily. 45% are false positives. Real threats get buried in noise. AI triage reduces false positive rate to 4.2% — analysts focus on what matters.

🔍 Unknown Threats: Signatures Aren't Enough

Signature-based detection misses zero-days and novel attack patterns. AI threat hunting uses behavioural anomaly detection — finding attacker patterns that have never been seen before.

💻 Endpoint: The Perimeter is Gone

Remote work, BYOD, and cloud have dissolved the network perimeter. Every endpoint is an attack surface. AI endpoint detection and response monitors every process, file change, and network connection in real time.

🔐 Identity: 80% of Breaches Start Here

80% of breaches involve compromised credentials. AI identity analytics detects impossible travel, unusual access patterns, and lateral movement — catching credential misuse before data is exfiltrated.

📋 Compliance: Evidence Collection Takes Months

SOC 2, ISO 27001, and NIST evidence collection requires months of manual work. CyberSecOS maintains a live compliance evidence pack — automatically updated from security telemetry.

AI Agent Capabilities

Every function covered by a specialised agent

Detection

🕵 Threat Detection AI

ML-based anomaly detection across network, endpoint, identity, and cloud telemetry. Detects known and unknown threats. MITRE ATT&CK framework mapping. Sub-second detection latency.

Response

⚡ Automated Response

Autonomous containment of confirmed low-risk threats (isolation, block, revoke). Human approval required for high-impact responses. Mean time to respond: 3 minutes vs 4 hours manual.

Hunting

🔍 Threat Hunting AI

Proactive hunting for unknown threats using behavioural baselines, peer group analysis, and attacker TTP patterns. Discovers threats that evade detection rules.

Endpoint

💻 Endpoint Intelligence

Process monitoring, file integrity, network connection analysis, and memory forensics. Detects malware, ransomware precursors, and lateral movement at the endpoint level.

Identity

🔐 Identity Analytics

Impossible travel detection, unusual access pattern analysis, privilege escalation monitoring, and lateral movement tracking. 80% of breaches start with identity compromise.

Cloud

☁ Cloud Security Posture

Misconfiguration detection, over-privileged IAM, exposed storage, and cloud-native attack detection across AWS, Azure, and GCP. Posture score tracked continuously.

Compliance

📋 Compliance Intelligence

SOC 2, ISO 27001, NIST, and GDPR evidence automation. Control effectiveness monitoring. Audit-ready evidence packs generated on demand.

Financial Impact

Measurable value across every capability

MTTD Reduction

-99%

204 days → seconds

False Positive Rate

-91%

45% → 4.2%

Analyst Workload

-84%

AI triage + automation

Breach Cost Reduction

-58%

Faster containment

Compliance Effort

-78%

Automated evidence

Governance & Responsible AI

Advisory intelligence — humans decide

⚡

High-impact response: human approval

Automated response is limited to low-risk, reversible actions (block IP, quarantine endpoint). Network segmentation, account lockout, and data isolation require SOC analyst approval.

🔐

Zero false terminations

No user account is permanently disabled or data deleted autonomously. All identity actions are reversible and require human confirmation within a defined time window.

📋

Chain of custody: forensic integrity

All incident evidence collected with cryptographic integrity. Chain of custody maintained for potential legal proceedings. SOC 2 and ISO 27001 evidence is court-admissible quality.

Implementation Roadmap

Operational in 10 weeks

Phase 1 · Week 1–2

Visibility

→SIEM integration

→Endpoint agent deployment

→Identity telemetry connection

→Cloud connector setup

Phase 2 · Week 3–4

Detection

→AI threat detection live

→Alert triage active

→MITRE mapping baseline

→SOC workflow integration

Phase 3 · Week 5–7

Response & Hunting

→Automated response playbooks

→Threat hunting agent active

→Incident response integration

→Compliance monitoring

Phase 4 · Week 8–10

Full SOC

→Identity analytics live

→Cloud security posture

→Compliance evidence packs

→Executive dashboard active

Market Opportunity

A sector under transformation — now

$34.8B

market size 2025

23.6%

annual growth rate (CAGR)

Cybersecurity AI is growing at 24% CAGR. Average UK data breach costs £3.4M. SOC teams face 1,000+ alerts per day with 72% being false positives. AI-driven SOC transformation is the highest-ROI cybersecurity investment in 2025.

Compliance Framework

Every regulation built in — not retrofitted

UK GDPR / Data Protection Act 2018

Breach reporting within 72 hours. Privacy by design requirements. AI security monitoring supports GDPR Article 32 obligations.

NIS2 Directive (UK equivalent)

Network and information systems security. Incident reporting and risk management requirements.

ISO/IEC 27001:2022

Information security management. AI security monitoring provides continuous ISO 27001 evidence.

DORA (financial sector overlay)

ICT incident reporting within 4 hours for financial sector. AI SIEM integration supports DORA compliance.

Full ROI Model

Financial impact — line by line

Value Driver	Financial Model
SOC Alert False Positive Reduction	72% FP rate → 8%. 20 analysts × £55K = £1.1M. 12 fewer analysts needed: £660K/yr.
MTTD Reduction — 340ms vs 200 days	Average breach undetected: 200 days industry average. AI: minutes. Breach cost avoided: £3.4M average.
Vulnerability Patching — 18 days → 48 hours	Each day of unpatched critical CVE: £50K risk exposure. 73 days saved per CVE × 20 CVEs/yr = £73M risk reduction.
3-Year NPV (500-person enterprise)	Year 1: +£600K. Year 2: +£1.5M. Year 3: +£2M. Payback: 8 months.

Competitive Landscape

Why not the alternatives?

Alternative	Limitation	Gap vs ARTlligence
Splunk SIEM + SOAR	SIEM platform — no multi-agent, no autonomous response, no predictive threat intelligence.	SIEM only
CrowdStrike Falcon AI	Endpoint protection only — no SOC orchestration, no threat intelligence synthesis.	Endpoint only
Microsoft Sentinel	Cloud SIEM — no multi-agent, no sector-specific intelligence, limited autonomous response.	Cloud SIEM

Integration Map

Connects to your existing stack

SIEM (Splunk/Microsoft Sentinel/IBM QRadar)EDR (CrowdStrike/SentinelOne)SOAR (Palo Alto XSOAR)Vulnerability scanners (Tenable/Qualys)Threat intelligence (VirusTotal/Recorded Future)IAM (Okta/Azure AD)ITSM (ServiceNow)GRC platforms (Archer/MetricStream)

Risk Register

Top implementation risks — and mitigations

Risk	Level	Mitigation
False positive rate — alert fatigue	High	AI triage reduces FP rate to <8%. Human analyst authority on all remediation actions. Escalation paths clearly defined.
Zero-day — AI knowledge gap	High	Threat intelligence feeds updated in real-time. AI flags unknown patterns for expert human review. Zero-day rapid response protocol included.
AI system security — securing the AI itself	Very High	AI security platform is itself secured to highest standards. Separate security monitoring for the AI layer. Red team assessment included.

Lowest-risk start: PoV Sprint

4-week PoV Sprint: Deploy SOC Intelligence + Threat Intelligence against 30-day SIEM logs. Measure: true positive rate, MTTD vs current baseline, false positive rate. Investment: £35,000.

4 weeks

to measurable results

£20–60K

PoV investment

Go/No-Go

before full commitment

Market Opportunity

A sector under transformation — now

$34.8B

market size 2025

23.6%

annual growth rate (CAGR)

Cybersecurity AI is growing at 24% CAGR. Average UK data breach costs £3.4M. SOC teams face 1,000+ alerts per day with 72% being false positives. AI-driven SOC transformation is the highest-ROI cybersecurity investment in 2025.

Compliance Framework

Every regulation built in — not retrofitted

UK GDPR / Data Protection Act 2018

Breach reporting within 72 hours. Privacy by design requirements. AI security monitoring supports GDPR Article 32 obligations.

NIS2 Directive (UK equivalent)

Network and information systems security. Incident reporting and risk management requirements.

ISO/IEC 27001:2022

Information security management. AI security monitoring provides continuous ISO 27001 evidence.

DORA (financial sector overlay)

ICT incident reporting within 4 hours for financial sector. AI SIEM integration supports DORA compliance.

Full ROI Model

Financial impact — line by line

Value Driver	Financial Model
SOC Alert False Positive Reduction	72% FP rate → 8%. 20 analysts × £55K = £1.1M. 12 fewer analysts needed: £660K/yr.
MTTD Reduction — 340ms vs 200 days	Average breach undetected: 200 days industry average. AI: minutes. Breach cost avoided: £3.4M average.
Vulnerability Patching — 18 days → 48 hours	Each day of unpatched critical CVE: £50K risk exposure. 73 days saved per CVE × 20 CVEs/yr = £73M risk reduction.
3-Year NPV (500-person enterprise)	Year 1: +£600K. Year 2: +£1.5M. Year 3: +£2M. Payback: 8 months.

Competitive Landscape

Why not the alternatives?

Alternative	Limitation	Gap vs ARTlligence
Splunk SIEM + SOAR	SIEM platform — no multi-agent, no autonomous response, no predictive threat intelligence.	SIEM only
CrowdStrike Falcon AI	Endpoint protection only — no SOC orchestration, no threat intelligence synthesis.	Endpoint only
Microsoft Sentinel	Cloud SIEM — no multi-agent, no sector-specific intelligence, limited autonomous response.	Cloud SIEM

Integration Map

Connects to your existing stack

SIEM (Splunk/Microsoft Sentinel/IBM QRadar)EDR (CrowdStrike/SentinelOne)SOAR (Palo Alto XSOAR)Vulnerability scanners (Tenable/Qualys)Threat intelligence (VirusTotal/Recorded Future)IAM (Okta/Azure AD)ITSM (ServiceNow)GRC platforms (Archer/MetricStream)

Risk Register

Top implementation risks — and mitigations

Risk	Level	Mitigation
False positive rate — alert fatigue	High	AI triage reduces FP rate to <8%. Human analyst authority on all remediation actions. Escalation paths clearly defined.
Zero-day — AI knowledge gap	High	Threat intelligence feeds updated in real-time. AI flags unknown patterns for expert human review. Zero-day rapid response protocol included.
AI system security — securing the AI itself	Very High	AI security platform is itself secured to highest standards. Separate security monitoring for the AI layer. Red team assessment included.

Lowest-risk start: PoV Sprint

4-week PoV Sprint: Deploy SOC Intelligence + Threat Intelligence against 30-day SIEM logs. Measure: true positive rate, MTTD vs current baseline, false positive rate. Investment: £35,000.

4 weeks

to measurable results

£20–60K

PoV investment

Go/No-Go

before full commitment

Market Opportunity

A sector under transformation — now

$34.8B

market size 2025

23.6%

annual growth rate (CAGR)

Cybersecurity AI is growing at 24% CAGR. Average UK data breach costs £3.4M. SOC teams face 1,000+ alerts per day with 72% being false positives. AI-driven SOC transformation is the highest-ROI cybersecurity investment in 2025.

Compliance Framework

Every regulation built in — not retrofitted

UK GDPR / Data Protection Act 2018

Breach reporting within 72 hours. Privacy by design requirements. AI security monitoring supports GDPR Article 32 obligations.

NIS2 Directive (UK equivalent)

Network and information systems security. Incident reporting and risk management requirements.

ISO/IEC 27001:2022

Information security management. AI security monitoring provides continuous ISO 27001 evidence.

DORA (financial sector overlay)

ICT incident reporting within 4 hours for financial sector. AI SIEM integration supports DORA compliance.

Full ROI Model

Financial impact — line by line

Value Driver	Financial Model
SOC Alert False Positive Reduction	72% FP rate → 8%. 20 analysts × £55K = £1.1M. 12 fewer analysts needed: £660K/yr.
MTTD Reduction — 340ms vs 200 days	Average breach undetected: 200 days industry average. AI: minutes. Breach cost avoided: £3.4M average.
Vulnerability Patching — 18 days → 48 hours	Each day of unpatched critical CVE: £50K risk exposure. 73 days saved per CVE × 20 CVEs/yr = £73M risk reduction.
3-Year NPV (500-person enterprise)	Year 1: +£600K. Year 2: +£1.5M. Year 3: +£2M. Payback: 8 months.

Competitive Landscape

Why not the alternatives?

Alternative	Limitation	Gap vs ARTlligence
Splunk SIEM + SOAR	SIEM platform — no multi-agent, no autonomous response, no predictive threat intelligence.	SIEM only
CrowdStrike Falcon AI	Endpoint protection only — no SOC orchestration, no threat intelligence synthesis.	Endpoint only
Microsoft Sentinel	Cloud SIEM — no multi-agent, no sector-specific intelligence, limited autonomous response.	Cloud SIEM

Integration Map

Connects to your existing stack

SIEM (Splunk/Microsoft Sentinel/IBM QRadar)EDR (CrowdStrike/SentinelOne)SOAR (Palo Alto XSOAR)Vulnerability scanners (Tenable/Qualys)Threat intelligence (VirusTotal/Recorded Future)IAM (Okta/Azure AD)ITSM (ServiceNow)GRC platforms (Archer/MetricStream)

Risk Register

Top implementation risks — and mitigations

Risk	Level	Mitigation
False positive rate — alert fatigue	High	AI triage reduces FP rate to <8%. Human analyst authority on all remediation actions. Escalation paths clearly defined.
Zero-day — AI knowledge gap	High	Threat intelligence feeds updated in real-time. AI flags unknown patterns for expert human review. Zero-day rapid response protocol included.
AI system security — securing the AI itself	Very High	AI security platform is itself secured to highest standards. Separate security monitoring for the AI layer. Red team assessment included.

Lowest-risk start: PoV Sprint

4-week PoV Sprint: Deploy SOC Intelligence + Threat Intelligence against 30-day SIEM logs. Measure: true positive rate, MTTD vs current baseline, false positive rate. Investment: £35,000.

4 weeks

to measurable results

£20–60K

PoV investment

Go/No-Go

before full commitment

The AI-native Cybersecurity Operating System

Why this sector needs AI-native infrastructure

Every function covered by a specialised agent

Measurable value across every capability

Advisory intelligence — humans decide

Operational in 10 weeks

A sector under transformation — now

Every regulation built in — not retrofitted

Financial impact — line by line

Why not the alternatives?

Connects to your existing stack

Top implementation risks — and mitigations

A sector under transformation — now

Every regulation built in — not retrofitted

Financial impact — line by line

Why not the alternatives?

Connects to your existing stack

Top implementation risks — and mitigations

A sector under transformation — now

Every regulation built in — not retrofitted

Financial impact — line by line

Why not the alternatives?

Connects to your existing stack

Top implementation risks — and mitigations