Security Research Agencies vs In-House Red Teams for Content

Vendors picking between an in-house red team and an outside research agency usually frame it as a cost question. It isn't. The choice shapes whether the research that ends up in a blog post, a white paper, or a conference talk actually holds up when a skeptical security engineer reads it at 11pm looking for a reason to close the tab. Both models can produce good security research. They can't produce the same kind.

That distinction matters more now because the money involved has gotten silly. Global cybersecurity spending is on track to hit $213 billion in 2025 and $240 billion in 2026, a jump of 12.5%, according to Gartner. Threat intelligence alone is projected by MarketsandMarkets to grow from $11.55 billion in 2025 to $22.97 billion by 2030, a 14.7% annual growth rate. Precedence Research puts the 2026 threat intel figure closer to $19.27 billion. Those two numbers don't agree with each other, and that's worth sitting with for a second: even the analysts tracking this market can't settle on one truth. Which tells you something about how young and chaotic the space still is.

Meanwhile 78% of organizations plan to grow their cyber budgets this year, per PwC's Global Digital Trust Insights survey of nearly 3,900 executives. That money is chasing a market already stuffed with more than 4,000 vendors and 11,000 products, according to IT-Harvest. Everyone's shouting. Only some of them have receipts.

What each model actually is, and why the binary framing understates the options

NIST defines a red team as a group authorized to emulate a potential adversary's attack. Whatever that team documents, the TTPs, the proof-of-concept exploits, the gaps in detection, becomes the raw material for the most credible content a security vendor can publish. Nobody trusts a threat report built on vibes. They trust one built on an actual attack chain someone actually ran.

But "in-house or agency" is a false choice, or at least an incomplete one. The Locks and Leaks taxonomy lays out three structural models: outsourced red teams (contractors from an outside firm), in-house red teams (your own hires), and hybrid setups. Two hybrid flavors get named specifically. The Hybrid Operator Model embeds a small number of in-house operators inside a larger consultant-led team. The Learning Model flips that: outside experts run the engagement, and one or two internal staffers tag along as trainees, picking up the tradecraft.

Threat intelligence teams split the same three ways: internal teams, outsourced expert teams, and community-model teams like ISACs and ISAOs, where member organizations pool intelligence. So the real map is a loop with no fixed ends. It's a triangle, and most serious vendors sit somewhere inside it, not at a corner.

Threat research itself breaks into three steps, and each one throws off a different kind of content. Collection (OSINT, threat feeds, dark web scraping, internal telemetry) gives you raw findings. Analysis turns that into interpreted intelligence. Sharing turns it into the practitioner-facing report someone actually reads on a Tuesday morning. The question a vendor should ask centers on which controls hold up when the red team exercise gets harder. It's which model produces research that turns into something a practitioner will act on, not just skim.

What in-house red teams can produce that no external team can replicate

The one thing an internal team has that no consultant can bring in a suitcase: proprietary context. An internal threat intel team, sitting next to or inside the SOC, builds intelligence shaped by the organization's actual threat landscape. For a vendor, that becomes a sentence no outside agency can honestly write: "we see this pattern across our own customer base." The flourish is not stylistic. It's a claim only the people holding the telemetry can make.

Red team exercises also map neatly onto content formats, almost too neatly. Red team engagements typically produce reproducible proofs of concept, findings mapped to frameworks like MITRE ATT&CK, and recommendations pitched at different reader levels. Three outputs, three different readers, three different pieces of content sitting right there waiting to be written.

None of it becomes usable without documentation discipline, though, and this is where a lot of internal teams quietly fail. Sound internal practice means logging every attack path, every exploited vulnerability, every detection response, with timelines and context, then converting that into summaries that translate the technical mess into a risk story a business person can follow. Skip that translation step and the research just sits in a ticketing system, doing nobody any good.

There's a trust mechanism buried in all this too. The logic is well understood in the practitioner community: when a CISO shows the C-suite a working proof of concept, it builds buy-in a theoretical warning never could. Swap "C-suite" for "prospective customer" and the same logic holds for vendor content: a PoC turns a marketing claim into demonstrated evidence, and evidence is a lot harder to roll your eyes at.

And in-house teams get to publish on their own terms. No client confidentiality agreement standing between the finding and the write-up, no anonymizing the juiciest detail because a lawyer flagged it. The tradeoff, obviously, is cost. Salaries for a real internal red team often outrun what an outsourced engagement would cost outright, and for smaller vendors, that math simply doesn't close. The team either doesn't exist, or it exists too thinly to produce content at any real scale.

What external security research agencies produce that internal teams structurally cannot

Flip the lens, and the agency's advantage is breadth. Outsourced teams walk in having seen incidents across a dozen industries, not one install base. That produces threat narratives that generalize better, because they're not shaped by a single company's blind spots.

Staffing is the other credibility lever. An agency built from former practitioners, whether that's ex-security engineers or people who've spent years covering the beat, produces writing that reads as informed rather than performed. Firms with verifiable operational pedigree carry that weight directly into their published work. Praetorian, for instance, describes its red team engagements as emulating nation-state adversaries and advanced persistent threats. The credential is not one an internal marketing writer can borrow.

CISA's own red team advisory, AA24-326A, is close to a template for how this should look in public. CISA ran a red team assessment against a critical infrastructure organization, then coordinated release of a Cybersecurity Advisory laying out the TTPs, the detection gaps, the lessons learned. Practitioner-grade content, built from an actual engagement, published without softening it into a sales pitch. Vendors chasing the same credibility could do worse than study that document line by line.

The catch: agencies almost never get to name their clients. Confidentiality agreements keep the specifics vague, and vague is exactly what kills a case study. "A Fortune 500 financial services firm" doesn't land the way "this bank, this breach, this timeline" does. Anonymization protects the client and quietly deflates the proof.

For an early-stage vendor, though, speed can outweigh all of that. Outsourcing buys immediate access to seasoned people and mature processes, skipping the recruiting-training-retention slog that building an internal team from scratch demands.

How the largest vendors have built research into a content engine, and what the structure reveals

Look at the top of the market and the in-house-versus-agency debate starts to feel almost quaint, because the biggest players just built their own publishing houses.

Cisco Talos draws on broad telemetry from across Cisco's customer base and is widely cited as one of the largest commercial threat intel teams anywhere. Its research does double duty: it's a product feature and a content engine at the same time, spinning out blogs, podcasts, and incident write-ups that build both product trust and brand awareness in a single motion.

CrowdStrike tracks a large and growing roster of nation-state, eCrime, and hacktivist groups. At Black Hat USA 2025, it rolled out real-time, personalized adversary insights fed directly into analyst workflows through Falcon Adversary Intelligence. Its Counter Adversary Operations unit is a security function and, functionally, an R&D lab for content, since every newly named threat actor becomes raw material for published research and practitioner-facing content.

Google's Mandiant deal tells the clearest version of this story. In May 2024, Google rolled out Google Threat Intelligence, stitching together Mandiant's incident-response depth, VirusTotal's community reach, and Google's own visibility across billions of device and email signals. Mandiant built its content credibility over years of published breach investigations, and that credibility walked straight over to Google when the $5.4 billion acquisition closed. Mandiant's own framing bears repeating: intelligence grounded in real incident response data, showing actual attack methods and post-compromise behavior pulled from real breaches, not modeled in a lab. Research built on real incidents is what practitioners trust. Research built on hypotheticals is what they skim past.

The pattern holds across all three. In-house research is the foundation, sure. But the reach comes from a publishing machine built alongside the research function, not separate from it. At this altitude, the two models have already merged.

How practitioners actually evaluate research credibility, and where each model tends to fall short

CISOs, security engineers, compliance officers: these are people who have read a thousand threat reports and gotten burned by most of them. They come in distrusting the vendor by default, and they can smell shallow or technically wrong content within a paragraph.

There's a rough checklist practitioners apply, whether they'd call it that or not: former CISOs or working practitioners actually on the delivery team, fluency in SIEM, XDR, SASE, Zero Trust, EDR, and IAM without needing a glossary in the footnotes, real data on how security buyers actually behave, named vendor case studies instead of "an enterprise tech client," and a physical presence at events like RSA Conference, Black Hat, or BSides. The same five checks apply whether you're sizing up an outside agency or your own internal team's output.

Internal research fails this test when it never leaves the SOC. All that proprietary context is worthless as content if nobody documents it into something readable, it just decays quietly in a ticketing queue. Agency research fails a different way, because when the client can't be named, the case study reads like a parable instead of a fact pattern, and practitioners notice the hedge immediately.

Neither model solves this alone. In-house work has depth but often lacks the breadth and publishing muscle to reach far. Agency work has breadth and polish but lacks the attribution and organizational specificity that make a case study land. Split the difference, and you start to see why nobody serious picks one model and closes the door on the other.

Why the hybrid model has become the working standard, and how to structure it for content

The working rule that practitioners broadly apply to the in-house-versus-agency question: outsource when speed or specialized skill outpaces what you can hire fast enough, build in-house when the work is continuous and central to your story. Applied to security research, the compromise doesn't hold. It's just how the math works out.

The named hybrid variants back this up. The Hybrid Operator Model keeps a small internal crew embedded inside a bigger consultant-led team. The Learning Model puts outside experts in the lead while internal staff shadow as trainees. Both structures produce research that's grounded in the company's own context but sharpened by outside expertise that no single internal team builds fast enough on its own.

For content specifically, the division of labor tends to fall out naturally. Product narrative and technical storytelling stay internal, because that's where the brand voice and proprietary detail live. External specialists carry whatever layer needs scale or outside domain depth, whether that's raw production volume, cross-industry research, or reaching a practitioner audience the internal team hasn't built yet.

Smaller vendors without the budget for their own Talos or Counter Adversary Operations unit can still access that external layer, provided they pick agencies staffed by former practitioners with verifiable domain fluency, named case studies, and an actual presence in the security community rather than just a logo on a sponsor page.

Which model gets the weight depends on what the content is actually for. Original research meant to build thought leadership: lean in-house, or hybrid with a strong internal lead. Cross-industry threat narrative meant to build awareness: lean on external breadth. A technical case study with real attribution: has to be in-house, because confidentiality agreements will gut an agency's version of the same story. High-volume, technically accurate publishing on an ongoing basis: hybrid, because neither model alone sustains both the quality bar and the output pace.

The wave of acquisitions, Mastercard buying Recorded Future for $2.65 billion, Google buying Wiz for $32 billion, 362 cybersecurity acquisitions total in 2024, is this same hybrid logic playing out at enterprise scale. When a company can't build the research capability fast enough on its own, it just buys the team that already built it.

What security vendors choosing between these models should actually decide first

Forget "in-house or agency." The real question: what kind of credibility does the content need to earn, and which structure actually produces that kind of proof?

Start with proprietary context. Does the vendor sit on customer telemetry, incident response data, or product findings nobody outside the company can touch? If so, in-house or a hybrid with a strong internal lead is the only route there. No outside agency can manufacture organizational specificity it never had access to in the first place.

Then breadth and speed. Does the vendor need cross-industry threat narratives, or a fast way to scale up technical content output, or access to practitioner networks it hasn't built yet? External specialists staffed by former practitioners tend to close that gap faster than internal hiring ever will, if the review criteria above actually get applied and not waved through.

Then attribution. Will the strongest, most trust-building content need named cases, specific incident detail, or public proof-of-concept disclosure? If the answer's yes, agency confidentiality clauses become a wall, not a wrinkle, and the content plan needs internal research sitting at its core.

And then, budget, the unglamorous variable that decides everything else in practice. In-house security staff and red team infrastructure cost real, ongoing money. For vendors that can't carry that weight, a specialist agency built from former practitioners is a strong choice in its own right. It's the only structure that can produce technically credible content at the volume the market now demands.

Underneath all of it sits one plain fact that doesn't change no matter which model gets picked: practitioners disengage the second content feels hollow or performative. The research behind it has to be real, the people writing it up have to actually understand the threat landscape they're describing, and the evidence has to be specific enough that a CISO reading it at their desk can't wave it off as another vendor with a keyboard and a deadline.