Andy James is CEO of C360RED, where they focus on organisation-specific red-team security testing. Their LinkedIn posts also discuss cloud resilience and responsible AI adoption.
They argue red-team testing should fit an organisation's people, technology, suppliers and processes.
They say cloud-first becomes fragile when resilience depends on one hyperscaler.
They urge AI governance and defined ownership before deployment.
Check first: Ask about partnership formats, rates, requirements, and inquiry route before planning paid work.
Main ideas
Security testing should be built around the client's environment, not a standard package · Cloud-first becomes fragile when resilience depends on one provider · AI needs governance and defined ownership before deployment
They apply the same context-first lens to cloud resilience, questioning dependence on a single hyperscaler in James's post on cloud fragility, and to AI, urging organisations to clarify data ownership, governance and risk tolerance before deployment in James's post on AI adoption.
Across these topics, they make the case for understanding the risks before choosing a solution.
Andy James argues that security, cloud and AI decisions should be built around an organisation's own risks rather than inherited defaults, vendor packages or speed.
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Across the three posts, they reject standard answers: attackers start with reconnaissance, so testing should too; cloud-first can hide concentration risk; AI is being deployed before anyone defines who owns the data. They make the case as CEO of C360RED, a red-teaming provider, and say directly that the cloud position will divide opinion.
Security testing should be built around the client's environment, not a standard package
Andy James starts with how attackers operate: reconnaissance, studying an organisation's people, technology, suppliers and processes for weak signals and small gaps.
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If attackers study the specific organisation, they argue, testing should too.
Much security testing is designed around the testing company's delivery model rather than the customer's reality.
Templates, standard scopes and pre-defined playbooks can produce a report without meaningful insight.
The argument is not that testing is unnecessary, but that the same test cannot fit organisations with different infrastructure, people, risks and threat landscapes.
Engagements should be scoped to the risks that matter to the client.
"Too much security testing today is built around the testing company's model, not the customer's reality.
Templates.
Standard scopes.
Pre-defined playbooks.
That may produce a report.
It doesn't always produce meaningful insight."
They contrast this with C360RED engagements designed around the organisation, its environment and its risks.
Cloud-first becomes fragile when resilience depends on one provider
Writing after AWS and Azure outages, Andy James argues that cloud-first has become cloud-fragile.
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They make three related claims: every organisation must know exactly where its data lives, resilience inside a single hyperscaler is an illusion, and the default cloud-first mindset should be challenged rather than assumed.
The reasoning ties concentration risk to business continuity: if resilience is not genuinely distributed, the next outage takes down more than systems.
They frame the position as deliberately contentious and invite disagreement rather than presenting it as settled.
"Cloud-first has become cloud-fragile, and after the recent AWS & Azure outages, we need to talk about it." They add: "If we do not rethink resilience now, the next outage will not just take systems down, it will take businesses with it," and describe the argument this way: "This one will divide opinion… and it should."
AI needs governance and defined ownership before deployment
Andy James argues that AI adoption is moving too fast because fear and cost-cutting are driving decisions.
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The pattern they describe is top-down deployment to save money before anyone has defined data ownership, governance or risk tolerance.
Their reasoning contrasts most technology, engineered from the ground up with security built in and controls understood, with AI, which is often deployed before the governance questions are answered.
The unanswered questions they list are where data goes, who owns it once inside these systems, and what exposure has been accepted.
Their conclusion: innovation matters, but discipline matters more.
"Where is the data going?
Who owns it once it's inside these systems?
What exposure have we just accepted?"
They also write: "We are trading known human limitations for unknown technology weaknesses — and in many cases, we don't fully understand how these systems behave under pressure."
The post closes with a self-deprecating aside about a dated headshot in the published interview, keeping the register conversational rather than corporate.
The recurring priority: question the default before adopting it
Across all three posts, Andy James takes a widely accepted default — packaged security testing, cloud-first, deploy-first AI — and asks whether it fits the organisation being protected.
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The answer depends on specifics the default ignores: which risks matter, where the data physically lives, and who owns it.
This is one working habit applied across three topics, giving the arguments the shape of positions rather than general commentary.
The anti-template case comes from the CEO of C360RED, a company that sells bespoke engagements, so the position and the commercial offer point the same way.
They do not hide the commercial framing, and on cloud resilience they explicitly expect the argument to be contested.
Compare the three setups: "Every serious attacker starts the same way… With reconnaissance" against the vendor template; "resilience inside a single hyperscaler is an illusion" against the cloud-first default; "Security is built in… With AI, it's often: deploy first, ask questions later" against fear-driven AI rollouts. In each case, the question is what the organisation's own situation requires.
This explains what red-team testing is for and how C360RED's approach differs from packaged security testing.
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Start here for the clearest statement of method, purpose and commercial positioning across the posts.
Andy James, CEO of C360RED, opens with a direct account of how serious attackers work: “Every serious attacker starts the same way.
Not with malware.
Not with exploits.
With reconnaissance.”
The post argues that attackers study people, technology, suppliers and processes before moving, while too much security testing follows the testing company's model rather than the customer's environment.
They describe the pattern as “Templates.
Standard scopes.
Pre-defined playbooks.” and contrast it with C360RED engagements designed around the organisation, its infrastructure, its people and the risks that matter to it.
For brands planning a campaign
A strong hook for a thought-leadership collaboration or advisory engagement on red teaming. Tailor the angle to assessment design: why reconnaissance and client-specific risk should shape a security test, and how that changes what buyers learn from the exercise.
This explains why a standard cloud-first assumption may hide concentration and resilience risk.
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It is a useful starting point for readers interested in Andy James's contrarian case on digital sovereignty, data location and business continuity.
Andy James responds to recent AWS and Azure outages with the claim that “Cloud-first has become cloud-fragile.”
The post announces a new article on digital sovereignty and argues that every organisation must know where its data lives.
They call resilience inside a single hyperscaler “an illusion” and challenge the default cloud-first mindset.
The post explicitly expects disagreement: “This one will divide opinion… and it should.”
For brands planning a campaign
A campaign can position Andy James as a debate-ready voice on cloud resilience and digital sovereignty. Possible formats include a contrarian keynote, a moderated debate or a practical advisory piece on where data lives and how much outage exposure a business can tolerate.
This explains what discipline Andy James advocates before AI deployment: clear ownership, governance and risk tolerance.
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It is the best starting point for readers focused on responsible AI adoption rather than only technical security testing.
Andy James argues that AI adoption is moving too fast because fear is driving decisions.
The post criticises organisations that deploy AI top-down to “save money” before defining data ownership, governance or risk tolerance.
They contrast most technology, engineered from the ground up with security built in, with AI deployments that ask questions later: “Where is the data going?
Who owns it once it's inside these systems?
What exposure have we just accepted?”
A plain-spoken aside about a dated headshot gives the piece a more human, less corporate tone.
For brands planning a campaign
Useful for a thought-leadership or advisory collaboration on responsible AI adoption. The content can connect AI governance to cybersecurity risk, with Andy James addressing what enterprises should define before deploying AI and how to avoid trading known human limits for unknown technology weaknesses.
Organisation-specific red teaming instead of template testing1
AI governance should come before AI deployment1
Cloud resilience and digital sovereignty1
Organisation-specific red teaming instead of template testing
Andy James argues that most security testing is built around the testing vendor’s delivery model rather than the client’s actual environment: templates, standard scopes and predefined playbooks produce a report but not always meaningful insight.
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The post opens by describing how attackers begin—with reconnaissance, studying an organisation’s people, technology, suppliers and processes for weak signals and small gaps—and uses that to argue that testing should be designed around the risks that matter to the client.
Uses the attacker’s own entry point—reconnaissance—to justify a bespoke engagement, then contrasts it with packaged scopes.
For brands planning a campaign
Good fit for thought leadership built on a contrarian position: sponsored pieces, webinars or advisory content questioning standard-scope penetration testing and explaining reconnaissance-led red teaming. The claim is specifically about how engagements are scoped, so a brand should pair Andy James with a format that lets them walk through a scoping decision rather than deliver a generic security-awareness message.
Andy James argues that AI adoption is being driven by fear and cost-cutting rather than discipline: organisations deploy from the top down before defining data ownership, governance or risk tolerance.
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They frame security as normally engineered from the ground up, with controls understood and exposure known, and contrast that with AI, where questions about where data goes, who owns it once it is inside the systems, and what exposure has been accepted are often answered after the fact. They note that innovation matters, but discipline matters more.
Uses a before-and-after contrast—how security is normally built versus how AI is adopted—and a short list of unanswered governance questions to make the case.
For brands planning a campaign
Suited to AI governance, data-risk and compliance vendors looking for a cautionary rather than promotional voice.
The natural collaboration is a pre-deployment governance checklist or risk-assessment discussion framed around data ownership and exposure, not an AI-capability showcase.
The post closes with a self-deprecating aside about their own headshot, signalling a conversational, non-corporate register that sponsors should expect.
Following recent AWS and Azure outages, Andy James argues that cloud-first has become cloud-fragile.
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The post promotes a new article on digital sovereignty and makes three claims: every organisation must know exactly where its data lives, resilience inside a single hyperscaler is an illusion, and the default cloud-first mindset should be challenged. They expect the position to divide opinion and invite responses.
The argument is deliberately contentious, so it could attract disagreement as readily as agreement in a comment thread.
For brands planning a campaign
Fits cloud security, business continuity, and multi-cloud or sovereignty-focused vendors willing to sponsor a debate-positioned argument, including comment-section discussion. Because the piece is anchored to named public outages, timing matters more than for the other topics: the angle is strongest while outage resilience is current.
Each of the three posts works as a short LinkedIn argument pointing to a longer treatment elsewhere: a blog post expanding the red-teaming concept, an article on digital sovereignty, and a conversation published by Security Digest by Strike48.
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The posts carry the main claim in the feed and place the link in the comments.
For brands planning a campaign
A brand can expect a campaign to produce an in-feed argument plus a longer asset, with the click-through link in the comments. That limits direct in-feed referral value but gives sponsors two usable formats and an established pattern for pairing a post with an article or interview—useful when negotiating deliverables.
Andy James's posts document one stated employment relationship: they are CEO of C360RED.
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Custodian360 and Security Digest by Strike48 also appear in the posts; ask whether either has a sponsorship, client or affiliate relationship with them.
C360RED
Employment
James states that they are CEO of C360RED, which designs red team engagements around each client's organisation, environment and risks rather than standard packages.
Andy James is chief executive of C360RED, a red-teaming provider.
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Their work here makes one argument in three settings: the standard answer is usually wrong for the organisation in front of you.
Start with the post on reconnaissance-led red teaming, where they argue that templated scopes and pre-defined playbooks produce a report without producing insight.
The cloud post applies the same test to infrastructure, arguing after the AWS and Azure outages that cloud-first has become cloud-fragile and resilience inside a single hyperscaler is an illusion.
The AI post turns to deployment, asking where data goes, who owns it once it enters these systems, and what exposure organisations have accepted before rolling AI out from the top down.
These are opinion pieces, not how-to guides: each makes its case in the feed and points to a longer article or interview in the comments, so following those links is part of following their work.
The commercial interest is stated openly: they sell bespoke red-team engagements and expect the cloud argument to be contested.
Red teamingReconnaissanceSecurity testingCloud resilienceDigital sovereigntyAI governanceData ownershipCybersecurityOffensive securityCloud securitySecurity leadershipLinkedIn postsLong-form articlesOpinion commentarySecurity leadersEnterprise security teams
Both write about risks beyond an organisation's own perimeter and who is accountable for them.
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James starts with what an attacker sees during reconnaissance; LaMantia starts with external DNS records, subdomains and third-party dependencies that remain visible and ungoverned, arguing that the real problem is the ownership gap, not a single misconfiguration. Both use short LinkedIn posts to flag patterns seen across many enterprises and point readers to a newsletter or article.
LaMantia's material stays within one technical domain: DNS and external attack surface management, including the case for a controlled brand top-level domain. James focuses on engagement design and business decisions: how to scope a red-team test, whether resilience depends on one hyperscaler, and whether AI can be deployed before data ownership is settled.
Both frame security as a business and governance decision rather than a purely technical one, and argue for change that starts where the organisation actually is.
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Bisagno makes the case that BYOD is a governance initiative balancing productivity, security, compliance and employee experience, and that device trust can be adopted in phases rather than through a full infrastructure rebuild.
James applies the same instinct when arguing that testing should be scoped to the client's risks rather than a standard package.
Both publish advisory LinkedIn posts that link to longer articles.
Bisagno offers practical best-practice guidance for hybrid-work device decisions, with a steady, constructive tone and a phased roadmap.
James takes positions rather than offering guidance, building arguments on named incidents such as the AWS and Azure outages and saying directly that they will divide opinion.
Readers looking for implementation steps will get more from Bisagno; those looking for a contested point of view will get more from James.
Both use the same publishing pattern: a short LinkedIn post built around a recent incident or discussion, ending with a pointed question and a link to a longer newsletter issue.
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Both argue that resilience matters alongside prevention: Richards on recovery readiness and disciplined vulnerability management, James on rethinking resilience before the next outage takes systems down. Both work for security providers and say so in their posts.
Richards writes from a customer-success and managed-services angle at Atruent, focusing on operational habits such as patch management, privileged account protection and remediation discipline.
They often respond to someone else's reported findings.
James writes from the offensive side as chief executive of a red-teaming firm, questioning how tests are scoped and challenging defaults rather than describing operational controls.
For a cybersecurity vendor or enterprise security team, Andy James’s posts support a LinkedIn-first test of thought-leadership or advisory content on red teaming, AI governance and cloud resilience.
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They had 5,794 LinkedIn followers as of 7 October 2026.
Three posts dated 24 November 2025, 18 February 2026 and 17 March 2026 show current topic focus in cybersecurity and technology leadership.
Before placing budget, ask for recent LinkedIn post-level results for comparable red-team, AI governance and cloud-resilience posts over a stated period, plus any audience survey or platform demographic data covering job function, seniority, company size and geography.
If none exists, ask for documented first-party feedback from comparable advisory or campaign work.
For a video format comparison, ask for a video performance summary.
Andy James's LinkedIn posts are thought-leadership and positioning pieces tied to C360RED, covering organisation-specific red-team testing, cloud resilience and responsible AI adoption.
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They do not disclose sponsored content, paid brand collaborations, a media kit, rates, operational requirements or a partnership inquiry route. A cybersecurity vendor or enterprise security team should ask about partnership formats, rates, requirements and how to inquire before planning a paid collaboration.
A cybersecurity vendor or enterprise security team seeking a practitioner-led thought-leadership or advisory collaboration on red-team scoping, AI governance before deployment, or cloud concentration risk—and able to accept argument-first content rather than a polished product message—is a good fit.
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The posts support this fit.
Each follows the same pattern: a short, attributable claim in the feed, with the longer treatment behind it—a blog expanding the red-teaming concept, a digital sovereignty article, and a conversation published by Security Digest by Strike48—and the link in the comments.
That gives a sponsor a usable production pattern: the creator supplies the argument and engagement; the sponsor supplies the longer asset.
The positions are concrete enough to anchor a campaign.
They argue that testing should be designed around the client's environment instead of templates, standard scopes and pre-defined playbooks; that AI is being deployed from the top down before data ownership, governance and risk tolerance are defined; and that resilience inside a single hyperscaler is an illusion.
Each is a decision a buyer makes, so a sponsor can build a session, checklist exercise or written advisory piece around a real choice rather than a generic security-awareness theme.
The register matters too.
The cloud post explicitly invites disagreement, and the AI post closes with a self-deprecating aside about a dated headshot, making a debate or moderated discussion more consistent with the posts than a scripted corporate endorsement.
Two practical constraints should be priced in.
With the link in the comments, expect lower direct in-feed referral value and plan the longer asset accordingly.
Public posts do not show sponsorship formats, rates or a partnership inquiry route, so ask directly about commercial terms.
When to choose a specialist
A cloud infrastructure provider or reseller seeking a dated launch or demand-generation campaign with guaranteed demo-targeted reach, fixed impression targets and quantified ROI claims—or a campaign that needs a neutral, uncontested endorsement—is a poor fit.
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The posts point the other way.
The cloud and digital sovereignty post is written to provoke: it names recent AWS and Azure outages, calls resilience inside a single hyperscaler "an illusion", says "Cloud-first has become cloud-fragile", and states outright that the piece "will divide opinion… and it should".
That is a strong hook for a moderated debate or advisory argument, and a poor one for a product launch whose message depends on the same audience not rethinking the default.
A launch campaign also needs reach that can be underwritten, and the audience details available here will not do that.
The only measured figure is 5,794 LinkedIn followers on the profile as of 7 October 2026.
The posts include no platform demographics, survey or post-level engagement data, so they cannot show what share of that audience are security decision-makers or support an impressions or demo-target guarantee.
Public posts also do not document partnership formats, sponsored content, a media kit, rates or operational requirements, so a paid launch cannot be planned from the available details.
Nor do they include video, a transcript or long-form performance details; if a campaign requires short-form video or proven long-form distribution, there is nothing to assess.
A campaign that treats the contrarian positions as a feature and can tolerate disagreement in the comment thread is a different matter—that belongs in the good-fit case above.
A worked campaign example
Angle: "Design the test around the target."
A sponsored advisory series could take one recognisable enterprise environment—say, a mid-sized company running core workloads in a single hyperscaler with a supplier-heavy attack surface—and walk through what reconnaissance would actually surface before testing begins.
The spine is the scoping decision: three different choices about what to test and why, and what a buyer learns from each.
The existing publishing pattern carries it.
The LinkedIn argument post opens on reconnaissance—attackers study people, technology, suppliers and processes first—and lands on the claim that standard scopes produce a report but not always insight.
The longer companion asset, hosted by the sponsor, takes one of the environment's three scoping branches and works it through: where the data sits, what concentration risk it carries, and what governance questions should be answered before any AI tooling touches the same environment.
Put the link in the comments, matching the existing three posts.
A 30–40 minute moderated session can extend the same material for the sponsor's own audience, while the digital sovereignty and AI governance posts give the moderator two tested lines of questioning if the discussion needs to widen.
One caution to design around: the creator writes as CEO of C360RED, so the series reads as practitioner-led with a commercial interest, not as independent endorsement, and the scoping argument implicitly contrasts with packaged testing.
Set expectations before contracting.
Before committing budget, ask for post-level results from comparable posts over a stated period and any audience survey covering job function, seniority and company size; the posts provide none of that, and the follower count alone cannot support a reach commitment.
For a campaign aimed at CFOs, Peter LaMantia is the stronger choice when the collaboration needs to focus on external attack surface management, DNS governance, or brand-controlled namespaces.
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The posts show close work on external DNS exposure: legacy records, third-party dependencies with unclear ownership, incomplete SPF/DMARC coverage, and externally visible assets outside governance.
A vendor selling an EASM, DNS security, or digital-risk product can use that material to build a governance-led campaign — the argument is not just “find misconfigurations” but “fix the ownership gap for every domain, subdomain, DNS record, and externally exposed asset.”
That’s a sharper fit than Andy James when the buyer wants one technical control area explored in depth rather than a broad resilience or red-team scoping argument.
The tradeoff is scope.
Andy James's posts focus on DNS, external exposure, and namespace governance; they do not develop red-team engagement design, AI deployment governance, or cloud concentration risk to the same depth.
A buyer who needs a multi-topic advisory voice or a red-teaming conversation will get less from this alternative.
Only two posts were available, dated May and June 2026.
Ask for audience data and partnership terms to assess reach and commercial availability.
For a campaign aimed at CFOs, Anne Bisagno is the better choice when the campaign is about device trust, BYOD governance, or a phased Zero Trust rollout for a hybrid workforce.
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The posts treat BYOD as a governance initiative rather than an IT decision — policies, employee education, identity security, ongoing oversight — and frame device trust as a way to validate both user identity and device security posture.
That suits a vendor selling endpoint, identity, or Microsoft 365-related controls to regulated or hybrid-work-heavy organisations, especially if the desired collaboration is a practical “how to start without a massive infrastructure transformation” piece.
It is a more natural fit than Andy James when the buyer needs an endpoint-and-access decision framework rather than red-team scoping, AI governance, or cloud resilience.
The tradeoff is that the posts stay close to endpoint and access security.
They do not cover offensive reconnaissance, red-team engagement design, AI data ownership, or cloud concentration risk, so a buyer whose campaign centres on those topics loses the direct argument.
The available posts are two posts from September 2026.
A campaign that needs a contested public debate is also less supported here than by Andy James’s explicit invitation to disagree on cloud strategy.
Ask for audience data, commercial terms, and post-level performance to assess reach and paid availability.
For a campaign aimed at CFOs, Bradley Richards is the stronger alternative when the collaboration is about ransomware recovery, vulnerability and patch management, or identity and privilege protection.
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The posts analyse how ransomware groups exploit known Fortinet VPN vulnerabilities, why MFA alone is not enough, and how compromised domain credentials and Active Directory Group Policy can disable controls without malware.
The posts also bring a customer-success angle: the organisations that recover fastest tend to have disciplined vulnerability management, operational accountability, and proactive remediation, not the biggest budgets.
That fits a vendor or MSSP selling resilience, patch management, identity protection, or recovery readiness, especially if the campaign should be grounded in operational process and customer outcomes.
It is a better match than Andy James when the buyer wants ransomware and identity-risk specifics rather than a red-team scoping, AI governance, or cloud-sovereignty argument.
The tradeoff is that the posts are event-led and vendor-adjacent.
They respond to specific incidents and a TechDecanter discussion, and they foreground Atruent’s customer-success perspective; a buyer wanting a neutral, category-level advisory voice or a broad thought-leadership position may find them narrower.
They do not develop red-team engagement design, AI deployment governance, or cloud concentration risk.
Only two posts from August and September 2026 were available.
Ask for audience data, rates, and sponsorship formats to assess reach and commercial availability.