AI SOC Readiness

part of the Immersive One platform

New Product Launch

Stop Trusting.
Start Proving.

The market built the AI SOC engine. We built the test. Prove your people, processes, and governance are ready for AI-augmented security operations — with defensible, audit-ready evidence.

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AI SOC Resilience
Composite Score
1–5%
Current AI SOC agent market penetration
Gartner, 2025
60%
Of SOC workloads expected to shift to AI within three years
Gartner, 2025
960
Average alerts processed daily per SOC team
Ponemon Institute, 2024
75%
Of SOC teams will see foundational skills erode by 2030
Gartner, 2025

Everyone's buying the engine.
Nobody's testing the driver.

Every AI SOC vendor promises faster triage, fewer false positives, and autonomous response. None of them can prove your organisation is ready to operate it safely, govern it properly, or survive when it fails.

Skills Atrophy

As AI handles more triage and investigation, your analysts lose the foundational skills needed to operate without it. When the AI fails, your team can't fall back.

🎯

Automation Bias

Analysts treat AI-generated correlations as ground truth. When adversaries learn to manipulate AI outputs, your team doesn't question the results.

👁

Invisible Blind Spots

Per-alert AI pricing incentivises suppressing alerts pre-ingestion. You're paying for coverage you're not getting — and you can't see what you're missing.

🔓

AI-Targeted Attacks

Prompt injection, data poisoning, and model manipulation are real and growing. Your SOC defends against threats — but can it defend the AI that defends against threats?

📋

Governance Gaps

Autonomous AI agents make containment decisions with no audit trail. When regulators ask "who decided to isolate that host?", the answer can't be "the algorithm."

🏛

Regulatory Exposure

EU AI Act high-risk enforcement activates August 2026. AI in critical infrastructure — including cybersecurity — requires conformity assessment you haven't started.

Prove. Improve. Benchmark. Report.

The PIBR model — extended for AI SOC transformation. Replace assumptions with evidence across every dimension of your AI-augmented security operations.

Live-fire AI SOC drills that test what matters

Cyber drills designed specifically for AI-augmented operations. Test whether your team can detect AI failures, operate in degraded mode, and maintain governance under pressure.

  • AI Trust Calibration — scenarios where AI deliberately provides incorrect outputs
  • Degraded Mode — AI tools progressively disabled during live exercises
  • AI-Enabled Adversary — attacks using AI-generated phishing and increased attack volume
  • Executive AI Crisis Sims — board-level decision-making when AI SOC tools fail
  • Governance Stress Tests — audit trail integrity under operational pressure
Drill Performance
AI Output Validation Accuracy 73%
Degraded Mode MTTD +340%
Override Decision Accuracy 61%
Escalation Path Integrity 88%
Audit Trail Completeness 42%

Close the gaps drills reveal — at the speed of AI innovation

Targeted, role-specific labs that build the specific skills your team needs to operate, govern, and defend AI-augmented security operations. Updated within 24 hours of emerging AI threats.

  • SOC Analyst AI Operations — prompt engineering, output validation, override decision-making
  • AI Threat Defence — prompt injection, data poisoning, model manipulation
  • GRC AI Governance — inventory management, risk classification, regulatory reporting
  • Secure AI Development — vendor-specific labs for Claude Code, Codex CLI, and more
  • Leadership AI Literacy — executive-level understanding for strategic decision-making
Skills Coverage
LLM Security Fundamentals 92%
Prompt Injection Defence 78%
AI Agent Oversight 54%
RAG & MCP Security 67%
Executive AI Risk Literacy 38%

Measure what matters — against peers, frameworks, and your own trajectory

The AI SOC Resilience Score quantifies readiness across People, Process, and Technology Governance. Track progress, compare against industry baselines, and identify atrophy before it becomes exposure.

  • AI SOC Resilience Score — composite metric across all three dimensions
  • MITRE ATT&CK alignment — coverage mapped to adversary TTPs
  • Peer benchmarking — compare against industry and sector baselines
  • Trend analysis — track improvement trajectories over time
  • Coverage heat maps — visualise tested vs. untested AI SOC risks
Benchmark Comparison
Your Score 64
Industry Median 41
Sector Top Quartile 78
6-Month Trend
OctNovDecJanFebMar

Board-ready evidence that proves readiness — not just activity

Auto-generate audit-ready compliance packs mapped to EU AI Act, NIST AI RMF, and ISO 42001. Translate complex technical data into the language boards, regulators, and insurers expect.

  • Regulatory compliance packs — EU AI Act conformity, NIST profiles, ISO 42001 evidence
  • Board dashboards — single-KPI views for risk reduction and investment ROI
  • Insurance evidence packs — AI Security Rider documentation for underwriting
  • Audit trail reports — drill participation, skill validation, remediation tracking
  • Framework mapping — automatic alignment to MITRE ATT&CK, NIST, DORA
Compliance Readiness
EU AI Act — High Risk 72%
NIST AI RMF — Govern 85%
NIST AI RMF — Measure 58%
ISO 42001 — Clause 8 64%
Auto-Generated Pack Ready
3 compliance packs • 47 evidence items • Last updated 2h ago

The AI SOC Resilience Score

A composite metric that quantifies readiness across the three dimensions that matter. Technology is only as resilient as the people operating it.

40%

People Readiness

Can your workforce operate effectively and securely in an AI-augmented SOC? Trust calibration, override confidence, degraded mode competence, and AI-specific threat recognition.

  • AI output validation accuracy
  • Override decision correctness
  • Degraded mode response time
  • Prompt engineering effectiveness
  • Cross-role AI literacy scores
35%

Process Governance

Are your AI SOC workflows governed, auditable, and compliant? Decision audit trails, human oversight activation, escalation integrity, and policy-to-agent alignment.

  • Audit trail completeness
  • Human oversight activation rate
  • Escalation path integrity
  • Policy-agent alignment score
  • Change management rigour
25%

Technology Governance

Are your AI SOC tools configured, monitored, and controlled appropriately? Agent inventory, data handling, model performance, guardrail effectiveness, and resilience testing.

  • AI agent inventory completeness
  • Data access scope compliance
  • Model performance monitoring
  • Guardrail red-team results
  • Graceful degradation testing

The compliance clock is ticking

AI in critical infrastructure — including cybersecurity — faces mandatory obligations across three converging frameworks. Every exercise maps to the evidence regulators require.

EU AI Act

High-Risk AI Conformity

AI systems in critical infrastructure require conformity assessment, technical documentation, risk management, and human oversight evidence. Extraterritorial reach applies to any system affecting EU residents.

Enforcement: 2 August 2026
NIST AI RMF

Govern · Map · Measure · Manage

The de facto operational standard for AI governance. Increasingly used as procurement criteria for federal and regulated industry. RMF 1.1 addenda expected through 2026.

Procurement baseline: Active now
ISO/IEC 42001

AI Management System

The first international standard for managing AI systems responsibly. Certification-ready through external audits. Aligns with ISO 27001 structures security teams already use.

Certification available: Active now

Your board demands proof.
Your regulators demand evidence.
We deliver both.

See how AI SOC Readiness integrates with the Immersive One platform to give you verifiable, audit-ready proof that your AI SOC transformation is secure, governed, and effective.