What is Red Teaming? Definition, Phases, and Tools in 2026

Red teaming stopped being a niche compliance exercise a while back. In 2026, 67% of enterprises run annual red team assessments, up from 43% in 2023, and the global market for adversary simulation services has grown to roughly $1.8 billion. That growth is not evenly spread. Financial services organizations sit at 84% annual adoption, pushed there by regulatory frameworks like DORA and TIBER-EU, while small businesses under 100 employees still sit around 11%. If your organization is somewhere in that gap, this article should help you figure out where red teaming fits and where it does not.

Also Read: Insider Threat Indicators and Prevention Tips

What is Red Teaming?

Red teaming is an ethical hacking exercise. A real cyberattack gets simulated, end to end, to find out how an organization's security actually holds up under pressure rather than how it looks on paper.

The work is done by a red team, a group of authorized attackers who run controlled operations to surface specific gaps in an organization's defenses. Unlike a scheduled audit, the organization is not warned in advance. The red team picks its moment and its method, often mimicking whatever tactics real adversaries are currently using against that industry.

These simulated methods draw from common cyber threats the organization already worries about, or from more advanced techniques it has never actually faced. That unpredictability is the point. It is the only way to honestly test readiness.

Red teaming is not limited to servers and code, either. Physical red teaming emulates attacks on tangible assets: server rooms, badge readers, file cabinets, production equipment, even the front door. If someone can walk in behind an employee holding a coffee cup, that is a finding worth reporting.

Phases of a red team engagement

A red team engagement moves through distinct stages, and skipping any of them tends to produce a weaker, less useful report. These are the core phases teams still rely on, even as tooling has changed around them:

Reconnaissance
Planning
Exploitation
Privilege escalation
Reporting

1. Reconnaissance

Once the goal of the exercise is set, whether that is exfiltrating a specific dataset or gaining domain admin, reconnaissance begins. This is the information-gathering phase, covering the IT infrastructure relevant to that objective.

This can mean mapping a server's dependencies, its access controls, who manages it, and what its normal traffic looks like. Teams also gather intel on things like Mean Time To Detect and Mean Time To Respond, since that tells them how much time they realistically have before the blue team notices.

2. Planning

With reconnaissance done, the team plans the actual attack: rules of engagement, scope, method, tooling. This is where the exercise gets its edges.

Planning typically nails down:

Communication plans: how the team talks to each other mid-operation without tipping off defenders.
Entry points: the specific attack vectors identified as vulnerable during recon.
Target restrictions: what is explicitly off limits, which matters a lot for production systems.
Threat IPs: external addresses the team will operate from or watch for.
Data repositories: where collected evidence gets stored for later analysis.
Attack surface mapping: a full view of the target's exposure. This connects directly to ongoing attack surface management, since a red team is really just stress-testing whatever that process already found.

3. Exploitation

This is the main event. The cybersecurity infrastructure gets attacked directly to find and use real weaknesses.

Exploitation is not only about malware or ransomware simulations against servers, or picking apart outdated software. It also targets people. Social engineering, especially phishing sent to employee inboxes, is still one of the fastest ways in, and it usually stays that way regardless of how much the endpoint tooling improves.

4. Privilege escalation

Once inside, the team moves to escalate. This is where they map paths to their actual target while trying to avoid detection, then use whatever access they have gained to push further into the environment.

Depending on the engagement's goals, this phase can end with simulated data exfiltration to an external drop point, just to prove the path exists end to end.

5. Reporting

Throughout the whole exercise, the team is logging everything. That data gets assessed afterward to build a picture of where the infrastructure held and where it did not.

The final report should include concrete recommendations alongside the findings themselves. A red team report that says "you have problems" without saying what to fix first is not actually useful to anyone on the security team who has to prioritize a backlog.

Red teaming approaches

During planning, the team settles on its attack method. Here are the approaches that still show up most often in real engagements.

1. Social engineering testing

Social engineering targets the human layer of the infrastructure. It uses psychological pressure, urgency, curiosity, fear, to get someone to hand over access or data they otherwise would not.

Phishing remains the most common form. Smishing is the SMS version, vishing is the voice call version. Pretexting puts an employee in a scenario where refusing feels risky, and tailgating is as simple as walking in behind someone with a badge.

Also Read: Benefits of Cybersecurity Awareness Training

2. Brute force testing

Brute force attacks throw large volumes of guessed credentials at a login until something sticks. Red teams still use tools like Gobuster and BruteX for this, and it still works often enough to stay in the playbook, mostly because password reuse never really went away.

3. Network penetration testing

Here the team goes after the network layer directly, through misconfigurations, IP spoofing, flooding traffic, or turning a compromised device into a rogue node on the network.

Also Read: Differences Between Penetration Testing and Vulnerability Testing

4. Application layer testing

This usually centers on denial-of-service style attacks meant to knock a specific application feature offline for real users. It also covers SQL injection against the backend database, cross-site scripting that corrupts how application code runs, and parameter tampering that messes with client-server communication.

5. Shared content corruption testing

Malware gets planted in shared internal storage so that it travels along with any file moved from that location to another. It is a quiet, effective way to spread compromise laterally once one component is breached.

Red teaming and AI: what actually changed

This is the part of red teaming that looks nothing like it did three years ago. AI-augmented engagements went from 12% of the market in 2024 to roughly 38% in 2026, and continuous automated red teaming platforms have grown even faster, expanding at over 31% annually.

Part of that shift involves testing AI systems themselves, separate from using AI as a testing tool. Ram Shankar Siva Kumar, who started Microsoft's AI red team back in 2019, put it bluntly to CSO Online: "The tool that we had changed, actually, it broke." Large language models do not behave like the deterministic systems red teams were built to test, and the whole discipline had to rebuild itself around that.

Dane Sherrets, staff innovation architect at HackerOne, described the practical consequence of that shift in the same piece: "The same attack might only work one time out of 100 times or 10 times out of 100 times or 90 times out of 100 times." That changes how a team scores a finding. It is no longer just "vulnerable or not," it is "how often, and under what conditions."

The numbers back this up in an uncomfortable way. Research cited by Mindgard found attack success rates jump from 13% for single attempt prompts to 92% once an attacker is allowed to keep trying with persistence. In one documented case, a Dreadnode research team took a single operator from plain-language goals to 674 executed attacks against Meta's Llama Scout model in about three hours, using an agent to automate the attack chain.

None of this means traditional infrastructure red teaming is obsolete. It means most mature programs now run two tracks: one testing the network and people the way they always have, and a newer one testing whatever AI systems the organization has put into production, which by 2026 is most of them.

A real case study: red teaming a law firm

Abstract phases are easier to understand with a concrete example. Synopsys, a firm experienced in composite red team attacks, ran an engagement for a law firm client that wanted more visibility than its existing security assessments were providing. Law firms sit on sensitive client data, mergers and acquisitions details, and privileged communications, which makes them an attractive target and a useful case study.

The engagement ran in five stages. First, Synopsys defined adversarial objectives: gain access to sensitive client data including pending petitions and M&A files, plus administrative control over internal networks and employee email. Second, in the reconnaissance stage, the team gathered information on web applications, live servers, authentication frameworks, and employee details (phone numbers, job titles, social media profiles), essentially building the same profile a real attacker would build.

Third came attack path modeling, where the team mapped technical and non-technical risks into a concrete plan. Fourth was execution: an employee email services attack that intercepted sensitive client communication by phishing into authorized accounts and impersonating them with clients, paired with a multi-factor authentication attack that specifically targeted services missing MFA using stolen one-time credentials.

Fifth, reporting surfaced two core weaknesses: a lack of employee awareness around social engineering, and multiple services tied to sensitive client data that had no MFA at all. Synopsys's recommendations were direct: enforce MFA on every external-facing service, run continuous employee training against social engineering, and audit third-party software versions before deployment rather than after an incident. The full case study is available here.

What makes this example useful is how ordinary the two root causes were. Neither weakness required a novel zero-day to exploit. They were process gaps that existed because implementation had outpaced security review, which is a pattern that shows up across industries regardless of how sophisticated the attacker eventually has to become.

Red teaming tools

Tool choice depends entirely on the engagement's objective, but a few names keep showing up across reports.

1. Nmap

Nmap is a free network reconnaissance tool used to map IP filters, firewalls, and routers across networks with hundreds of thousands of devices.

2. Hashcat

Hashcat is a free, multi-OS password recovery tool used for controlled brute-force testing, with interactive pause and resume support.

3. Nikto

Nikto is a free command-line vulnerability scanner that flags outdated server and application versions, contaminated files, and misconfigurations.

4. Gophish

Gophish is an open-source tool for setting up, scheduling, and monitoring phishing campaigns, with results tracked in real time.

5. BeRoot

BeRoot identifies misconfigurations that enable privilege escalation in compromised Windows environments.

6. DNSExfiltrator

DNSExfiltrator quietly exports data by hiding it inside DNS requests, useful for proving an exfiltration path exists without anyone noticing the traffic.

7. PyRIT and Garak

On the AI testing side, Microsoft's PyRIT and NVIDIA's Garak have become standard open-source frameworks for probing large language models for prompt injection, jailbreaks, and unsafe outputs, filling a role that did not really exist in this form a few years ago.

Red Teaming, Blue Teaming, and Purple Teaming

You have probably noticed "blue team" coming up throughout this article. There is a third term worth knowing: purple teaming.

Blue teaming is the defensive side, protecting infrastructure rather than attacking it, using a mix of firewalls, SIEM tools, intrusion detection systems, and SOAR platforms. Blue teams are the ones trying to catch the red team in the act.

Purple teaming brings red and blue together deliberately, sharing findings in real time instead of working in silos and comparing notes only at the end. In practice this looks like joint debriefs after each exploitation attempt, so the defensive team learns the attack technique while it is still fresh instead of reading about it three weeks later in a PDF.

Also Read: Understanding Vulnerability Management

Is Red Teaming the same as Penetration Testing?

Not quite, even though both are offensive exercises. A penetration test tries to find as many vulnerabilities as possible, broadly. Red teaming is objective-driven, going after specific data or systems and ignoring anything not relevant to that goal.

Red teaming usually runs longer, may require custom tooling, and pushes into privilege escalation. Pen tests tend to use off-the-shelf tools, stop once exploitation is proven, and wrap up faster. The blue team usually knows a pen test is scheduled. They are kept in the dark for a red team exercise. And where pen tests mostly target known vulnerabilities, red teaming goes after both known and unknown ones.

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The limits of red teaming

Red teaming's biggest weakness is its narrow scope by design. Because it chases a specific objective, it will not surface every vulnerability in the environment. If the goal is data exfiltration, nobody is checking whether the application can survive a DDoS attack, because that was never the point of the exercise.

For that reason, organizations still early in building out their security program are usually better served starting with broad penetration testing and vulnerability management before layering in red teaming. Jumping straight to red teaming without that foundation tends to produce findings nobody has the maturity to act on yet.

It is also worth being honest about talent. The red team operator talent gap sits at roughly 22,000 unfilled roles in 2026, up from 15,000 in 2024, according to the same industry tracking that put the market at $1.8 billion. That gap is part of why continuous, automated red teaming platforms have grown so quickly. There simply are not enough experienced human operators to run every organization's ideal testing cadence manually.

Conclusion

For long-term coverage, many organizations outsource this entirely to a managed security service provider that runs red teaming as a standing service rather than a one-off engagement. That gets you continuity without needing a full internal red team on payroll.

The other shift worth watching is automation. Continuous, AI-assisted red teaming is no longer experimental, it is already close to 20% of the market and climbing fast. Manual, once-a-year assessments are not disappearing, but they are increasingly the baseline rather than the ceiling of what a mature security program does.

What is Red Teaming and Why it Matters