The Agentic SOC:
From Alert Triage to Autonomous Cyber Risk Operations
What it actually is, how it works, what it costs, and how we can get you there.
Every major security vendor has added "AI" to their product sheet. None of them have rebuilt the operating model underneath it. This series draws a hard line between AI bolted onto legacy architecture and a true Agentic SOC — and walks you through the operational, financial, and organizational transformation required to get from one to the other. Experience from 210+ production deployments.
View the full agenda ↓
Roadmap Preview
Session 01
The New Economics of the SOC
Tuesday · July 14
11 am PDT · 2 pm EDT
Session 02
30 Days to an Agentic SOC
Wednesday · August 5
11 am PDT · 2 pm EDT
Session 03
See an Agentic SOC in Action
Thursday · August 27
11 am PDT · 2 pm EDT
Agentic SOC Live Session Series
Agenda Deep Dive
Three Weeks. Three Master Classes.
Each session is tightly scoped to 30 minutes, prioritizing raw technical logic and validated financials.
SESSION 01
30 mins duration
Live Q&A included
The New Economics of the SOC
The legacy SIEM cost model was built to create predictable vendor revenue — not predictable security outcomes. Pay-per-log pricing forces data rationing. Data rationing creates blind spots. Blind spots require more headcount. The result is a security posture that costs more every budget cycle while covering less of your actual environment. This session dismantles that model with the math your vendor has never shown you — and replaces it with a framework your CFO can evaluate.
40/40/20 Analyst Model
Legacy vs. Agentic Cost Curve
TCO Framework
ROI Timeline
Key Takeaways:
- Why pay-per-log pricing architecturally guarantees blind spots — and the precise cost of eliminating them
- The 40/40/20 breakdown: where your analyst hours go, where they should go, and what changes when AI handles the first 80%
- How to build the internal financial case for Agentic SOC — for finance, procurement, and your board
- What the no-charge data lake means for your coverage model, your risk posture, and your renewal conversation
Designed for:
CISO / VP Security
CIO / CTO
CFO (SOC budget owners)
⚠️ Financial stakes callout: Most organizations are paying 40–60% more for legacy log storage than the full Google SecOps stack — SIEM, SOAR, and Threat Intel — would cost them.
SESSION 02
30 mins duration
Live Q&A included
30 Days to an Agentic SOC
The promise of 98% autonomous threat resolution raises an immediate practical question: how do you actually get there — especially if you're mid-contract, approaching renewal, or convinced your team can't absorb another platform migration right now? This session walks through the complete week-by-week operationalization playbook, derived from 210+ production deployments. Including the internal change management conversation — how to frame this for finance, procurement, legal, and a board that wants security stability, not disruption.
30-Day Deployment Timeline
Week-by-Week Architecture
Mid-Contract Decision Framework
Board Communication Template
Key Takeaways:
- Week-by-week playbook: environment assessment → autonomous triage → full production handoff with contractual guarantees
- How to build the TCO case for finance when mid-contract — and the exact objection-handling sequence for procurement and legal
- What the contractual performance guarantee actually covers and what it means for your organizational risk position
- How to communicate the transition to your board without triggering security anxiety — the framing that works
Designed for:
CISO / VP Security
CIO / CTO
Leaders in active SIEM contracts
⚠️ Financial stakes callout: 67% of CISOs are planning SIEM renegotiation in the next 18 months. Most will negotiate from a position of ignorance about the alternatives.
SESSION 03
30 mins duration
Live Q&A included
Agentic SOC in Action
The cybersecurity industry runs on impressive demos that fail in production. This one is different. A live walk-through of an actual Agentic SOC deployment — real data flows, real decision logic, real autonomous response actions delivering a 3-minute containment SLA. Including an unsparing look at why legacy MDR and SIEM architectures fail in commodity ransomware campaigns — not edge cases — and what that failure costs in dollars and dwell time. And an honest discussion of the 2% of threats that still require human judgment.
Open Glass Box Live Demo
25-Min Fatality Gap Analysis
Breach Pattern Taxonomy
AI Agent Architecture Map
Key Takeaways:
- The documented failure modes of legacy MDR and SIEM — the breach patterns that human-speed SOCs consistently miss at scale
- Live: the Open Glass Box — full real-time visibility into autonomous AI decision-making and containment logic
- How the 25-minute Fatality Gap maps to your alert-to-containment timeline — and what it costs per incident
- How to evaluate any autonomous SOC vendor claim: the questions, the metrics, and the demonstrations that prove it
Designed for:
CISO / VP Security
CIO / CTO
Security Architects evaluating vendors
⚠️ Financial stakes callout: The average breach dwell time for a human-speed SOC: 25+ minutes. The Agentic SOC containment SLA: 3 minutes. That gap is your risk exposure.
Your Presenters
Operators. Innovators.
Chris Morales and Jared Burns have run security operations at scale and built what they now present. Every framework, every data point, and every claim in this series comes directly from 210+ live production deployments — not conference keynotes, not analyst projections, not VC-funded positioning.
| ✕ | No slides built from Gartner estimates |
| ✕ | No demos that don't reflect production environments |
| ✕ | No vendor claims without contractual guarantees behind them |
| ✓ | Live Q&A in every session — questions answered directly, not deflected |
Chris Morales
CISO and Head of Security Strategy, Netenrich
A practitioner-turned-strategist operating at the intersection of security operations, organizational risk, and emerging threat intelligence. Chris leads Netenrich's security strategy and brings the CISO perspective — including the budget, the board, and the renewal conversation — to every session.
Jared Burns
Director of Solution Architecture & Cybersecurity Evangelist, Netenrich
The architect behind Netenrich's deployment playbook. Jared has led solution design across 200+ production Agentic SOC environments and brings the technical depth to make the operational reality — not the marketing version — visible and evaluable.
Why This Series Exists
AI on top of a broken model is still a broken model.
The vendors adding AI to their legacy SIEM aren't changing what it costs you, what it covers, or how fast it responds. They're improving the interface on an architecture that was engineered to create blind spots. An Agentic SOC isn't an upgrade — it's a different operating model entirely. This is what that transformation looks like.
Legacy Model
AI as a feature layer on legacy SIEM
↓
Agentic SOC
Autonomous agents as the operating layer
Agents don't augment the old process — they replace it. Triage, investigation, and containment happen without a human in the loop for 98% of known threats.
Legacy Model
Pay-per-log pricing forces data rationing
↓
Agentic SOC
No-charge data lake — ingest everything
When ingestion cost disappears, so do the architectural blind spots your vendor's pricing model created. 30× more visibility at lower total cost.
Legacy Model
Analysts spend 80% of time on alert triage
↓
Agentic SOC
Analysts operate on risk — not queues
The 40/40/20 model: AI handles the first 80% autonomously. Your team spends 100% of their judgment on the threats that actually require it.
Legacy Model
Threat response as the security mission
↓
Agentic SOC
Cyber risk operations as the security mission
An Agentic SOC isn't the end state — it's the foundation. The operating model that makes continuous, autonomous cyber risk operations possible for the first time.
25 Min
Average dwell time in a legacy, human speed SOC.
3 Min
Contractual containment SLA - Agentic SOC
30x
Visibility increase when ingestion-cost rationing is eliminated
210+
Live production deployments behind every claim in this series
The Financial Reality
The cost model your vendor built to stay hidden.
Legacy SIEM pricing is engineered so that total cost of ownership is nearly impossible to calculate until you're mid-renewal. Session 1 walks executives through a complete TCO tear-down — the ingestion costs, the staffing multiplier, the blind-spot tax, and what you're actually buying.
| 1 | Pay-per-log pricing creates a direct financial incentive to not ingest the data you need — the blind spot is the feature |
| 2 | Alert volume from rationing requires staffing multiples that compound cost year over year |
| 3 | The full Google SecOps stack can be delivered for less than most organizations pay for legacy log storage alone |
| COST DRIVER | LEGACY SIEM | AGENTIC SOC |
|---|---|---|
| Data ingestion | Pay-per-GB / log | No-charge data lake |
| Data coverage | Rationed by cost | 30× full coverage |
| Analyst FTE required | High — alert triage driven | Reduced — judgment-only work |
| Threat containment | 25+ min avg. dwell time | 3-minute SLA (contractual) |
| Autonomous resolution | <10% of known threats | 98% of known threats |
| Time to full operation | 6–18 months | 30 days |
| * Full TCO model presented in Session 1 — with real deployment numbers | ||
Reserve Your Seat
One registration. All three sessions.
Each session is designed for live executive participation — including direct Q&A with Chris and Jared. Registration covers all three sessions across the series.
Reserve Your Seat

