Critical Infrastructure Protection Program
Comprehensive security program for critical infrastructure protection, including water systems, emergency services, and essential facility security.
In scope
- Water system security
- Emergency services protection
- Essential facility assessment
- Infrastructure interdependency analysis
- Physical security integration
You receive
- Infrastructure security architecture
- Protection framework
- Interdependency analysis
- Risk mitigation strategy
- Emergency response procedures
Tiers
Choose the depth.
Core Infrastructure Protection Assessment
$90K
Assessment of one site, covering the IT network and the boundary with the operational network.
- Sites
- 1
- One site
- IT and boundary review
- Risk register
- — Hands-on testing of operational equipment
- — More than one site
Advanced Infrastructure Protection Program
$155K
Up to 3 sites, including passive review of the operational network.
- Sites
- 3
- Up to three sites
- Passive operational network review
- — Active testing of live operational equipment
Enterprise Infrastructure Protection Solution
$240K
Up to 6 sites with a protection program roadmap; larger estates are scoped at kickoff.
- Sites
- 6
- Up to six sites
- Program roadmap
- Executive readout
- — Implementation work
Members: engagement coupons from the CISO Marketplace coupon book apply to services. There is no blanket discount.
What's inside this engagement
Phase by phase.
How a security assessment engagement runs, what happens in each phase and what you see. Exact scope, tier and timeline are fixed in your proposal and SOW.
01Scoping
Systems, sites, stakeholders and the question the assessment must answer.
You see · Your objectives and constraints.
02Discovery & evidence
Documents, configurations and interviews, plus technical testing where the service includes it.
You see · Access and time with key people.
03Analysis
Findings rated by risk to your business, not by a generic score.
You see · A prioritized view of your risk.
04Report & debrief
Executive summary, findings and a remediation roadmap, walked through with your team.
You see · The report and the debrief.
Commercials
From first call to final report.
- 01
Scoping call
A practitioner, not a salesperson, walks through targets, constraints and what a good outcome looks like for you.
- 02
Proposal & rules of engagement
A fixed-scope proposal with tier, price and deliverables. Rules of engagement, contacts and out-of-bounds systems are agreed in writing.
- 03
Sign, then start
MSA and SOW are signed electronically and the deposit is paid. Only then does testing begin.
- 04
Execution
Testing runs to the agreed plan. Critical findings are escalated as they are found; you don't wait for the report.
- 05
Report & debrief
An executive summary plus technical findings with evidence, reproduction steps and fixes, walked through with your team.
- 06
Retest
Where the tier includes it, we verify your fixes and reissue the report, so auditors and customers see the issues closed.
Timelines are set per engagement in the SOW.
Related
Red Team Subscription
A standing offensive testing program in place of a once-a-year engagement. Each month our team runs a targeted assessment against an agreed part of your environment; each quarter a scenario-based attack tests how well your people and tooling detect and respond. The Premium tier adds two full red team engagements a year. Findings from every cycle feed one running improvement plan, so each round also checks whether the last round's fixes held. Targets, rules of engagement and testing windows are agreed at kickoff.
AI & Agentic Red Team
Offensive testing of LLMs and AI agents — prompt injection, jailbreaks, tool misuse, agent goal hijack, memory/context poisoning, model extraction, and agent identity abuse. Mapped to OWASP Top 10 for Agentic Applications, OWASP LLM Top 10, and MITRE ATLAS.
AI/ML Security Assessment
Expert evaluation of artificial intelligence and machine learning systems security, from model development to deployment. Our assessment identifies vulnerabilities in AI/ML infrastructure, examines risks of data poisoning, adversarial attacks, and model manipulation while providing guidance for securing these advanced technologies.
Research
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