Why Technology Companies Need Specialized Red Teaming

Technology companies do not fit the traditional red team model. Your codebase is your product. Your CI/CD pipeline is your factory floor. Your APIs are your storefront. Conventional network-and-application testing misses the attack surface that matters most. Snyk’s 2025 report found 82% of SaaS companies experienced at least one security incident tied to third-party dependencies. The attack surface is the supply chain, the deployment pipeline, and the trust relationships between services.

76% of technology companies now run annual red team assessments, second only to financial services. But the findings stay consistent. API vulnerabilities are the top finding in 61% of technology sector engagements (Salt Security, 2025). CI/CD pipeline compromise succeeds in 73% of engagements targeting software development organisations (GitLab DevSecOps Survey, 2025). Cloud-native environments, container orchestration, and hundreds of exposed API endpoints create attack paths that most organisations have not tested.

This guide covers threat scenarios, testing approaches, and programme design for SaaS companies, cloud platforms, and software development organisations.

What Are the Primary Cyber Threats to Technology Companies?

Supply Chain Attacks

Supply chain attacks represent the most strategically significant threat to technology companies. By compromising a single software vendor, attackers can reach thousands of downstream customers simultaneously.

Supply chain attack statistics for technology companies:

MetricValue
SaaS companies experiencing dependency-related incidents (2025)82%
Year-over-year increase in software supply chain attacks67%
Average number of third-party dependencies per application200+
Mean time to detect a supply chain compromise271 days
Average cost of a supply chain breachUSD 4.7M
Open source packages with known critical vulnerabilities18%

Notable supply chain attack patterns in 2025-2026:

  • Dependency confusion attacks: Exploiting package manager resolution logic to inject malicious code through private package name collisions
  • Compromised maintainer accounts: Targeting maintainers of popular open-source packages through phishing or credential stuffing
  • Build system compromise: Infiltrating CI/CD infrastructure to inject malicious code during the build process
  • Typosquatting: Publishing malicious packages with names similar to popular legitimate packages
  • Abandoned package takeover: Claiming ownership of unmaintained but widely-used packages

Cloud Infrastructure Attacks

Cloud environments present a distinct attack surface that requires specialized red team expertise:

Cloud security statistics:

  • 47% of cloud red team engagements find exploitable IAM misconfigurations as the top vulnerability (Wiz, 2025)
  • 38% of cloud data breaches involve misconfigured storage buckets or databases
  • 29% of cloud workloads have excessive permissions that could be exploited for privilege escalation
  • Container escape vulnerabilities are successfully exploited in 23% of engagements testing containerized environments
  • Cross-account lateral movement is achievable in 34% of multi-account AWS environments

“Cloud security is not just about securing what you deploy — it is about securing how you deploy. The infrastructure-as-code, the CI/CD pipeline, the service accounts, the role chains — these are the modern attack paths that red teams must explore.” — Rami McCarthy, cloud security researcher

API Vulnerabilities

APIs are the primary interface through which technology companies deliver their products and integrate with partners. This exposure makes APIs the most frequently exploited attack surface in the technology sector:

API security statistics:

MetricValue
API attacks as percentage of web application attacks (2025)68%
Companies experiencing an API security incident (2025)74%
Average number of APIs exposed by mid-size SaaS companies150-300
API endpoints lacking proper authentication12% average
BOLA (Broken Object-Level Authorization) prevalenceFound in 41% of API assessments
Average cost of an API-related breachUSD 3.8M

The OWASP API Security Top 10 (2023 edition) remains the primary reference for API vulnerability classification:

  1. Broken Object-Level Authorization (BOLA) — the most common and exploitable API flaw
  2. Broken Authentication — weak or missing authentication on API endpoints
  3. Broken Object Property-Level Authorization — mass assignment and excessive data exposure
  4. Unrestricted Resource Consumption — enabling denial of service
  5. Broken Function-Level Authorization — privilege escalation through API calls

CI/CD Pipeline Attacks

The software delivery pipeline has become a high-value target because compromising it enables code injection that propagates to all customers:

CI/CD pipeline attack statistics:

  • 73% of red team engagements targeting development organisations successfully compromise the CI/CD pipeline
  • Secrets in code repositories are found in 48% of engagements (API keys, tokens, credentials)
  • Self-hosted CI/CD runners have exploitable vulnerabilities in 61% of assessments
  • Pipeline poisoning (injecting malicious steps into build definitions) succeeds in 37% of engagements
  • Average time from pipeline compromise to production deployment of malicious code: 4.2 hours

Insider Threats and IP Theft

Technology companies face significant insider threat risk due to the value of their intellectual property and the broad access developers typically have:

  • Source code theft is the primary insider threat concern for 67% of technology CISOs
  • Developer workstation compromise provides access to source code, credentials, and production infrastructure
  • Excessive developer permissions (the “everyone is admin” culture) enable data exfiltration and system manipulation
  • Departing employee risk — 23% of data theft incidents occur in the 30 days before an employee leaves

How Should Technology Companies Structure Red Team Assessments?

Cloud-Native Red Teaming

Cloud-native red teaming addresses the specific attack surface of organisations running in AWS, Azure, GCP, or multi-cloud environments:

Scope areas for cloud-native red teaming:

Identity and Access Management (IAM):

  • Role chain exploitation and privilege escalation
  • Service account and workload identity abuse
  • Cross-account trust relationship exploitation
  • Federation and SSO bypass techniques
  • Temporary credential abuse and token theft

Compute and Container Security:

  • Container escape from unprivileged containers
  • Kubernetes cluster compromise and lateral movement
  • Serverless function abuse and event injection
  • EC2/VM metadata service exploitation (IMDS attacks)
  • Container image supply chain attacks

Data Security:

  • Storage bucket enumeration and access testing
  • Database exposure and authentication testing
  • Secrets manager and parameter store access
  • Data exfiltration through authorized channels
  • Encryption key management testing

Network and Infrastructure:

  • VPC security group and network ACL testing
  • Private endpoint and service endpoint access
  • DNS-based data exfiltration
  • Cloud-to-on-premises pivot testing
  • Multi-cloud lateral movement

CI/CD Pipeline Red Teaming

A dedicated CI/CD pipeline assessment should cover:

Source Code Management (SCM):

  • Repository access controls and branch protection rules
  • Secrets scanning across all repositories (historical and current)
  • Code signing and commit verification
  • Pull request review process bypass
  • Webhook and integration security

Build Systems:

  • CI/CD runner security and isolation
  • Build environment supply chain (base images, dependencies)
  • Pipeline definition injection (pipeline poisoning)
  • Artifact integrity and signing
  • Cache poisoning attacks

Deployment and Release:

  • Deployment credential management
  • Infrastructure-as-code (IaC) security review
  • Feature flag and configuration injection
  • Canary/blue-green deployment exploitation
  • Rollback and disaster recovery testing

Secrets Management:

  • Secrets in source code and configuration
  • Vault/secrets manager access controls
  • Secret rotation and lifecycle management
  • Environment variable exposure
  • Service mesh certificate management

API Red Teaming

API-focused red team assessments for technology companies should test:

  • Authentication and authorization: Testing all API authentication mechanisms including OAuth 2.0 flows, API keys, JWTs, and service-to-service authentication
  • Business logic flaws: Testing for BOLA, BFLA, and other authorization bypass vulnerabilities
  • Rate limiting and abuse prevention: Validating rate limits, quota enforcement, and anti-automation controls
  • Data exposure: Testing for excessive data returned in API responses
  • GraphQL-specific attacks: Introspection, batching attacks, nested query abuse, and authorization bypass
  • Webhook security: Testing webhook endpoints for SSRF, injection, and replay attacks

For technology companies seeking thorough security validation across cloud, pipeline, and API attack surfaces, specialized red team providers with deep expertise in modern technology stacks deliver the most relevant findings.

What Are the Most Common Red Team Findings in Technology Companies?

Based on aggregated data from technology sector red team engagements, the most frequent findings include:

FindingFrequencySeverity
Secrets in source code repositories82%Critical
IAM over-provisioning (excessive permissions)74%High
API authorization bypass (BOLA/BFLA)61%Critical
Insufficient CI/CD pipeline security58%Critical
Container security misconfigurations54%High
Inadequate logging and monitoring of API calls51%High
Missing or weak rate limiting on APIs49%Medium-High
Developer workstation compromise paths47%High
Insecure third-party integrations44%High
Insufficient network segmentation in cloud41%High

The most critical systemic finding is secrets in source code repositories. In 82% of technology sector engagements, red teams discover credentials, API keys, tokens, or other secrets committed to Git repositories. These secrets frequently provide direct access to production infrastructure, databases, or third-party services, bypassing all other security controls.

How Should Technology Companies Integrate Red Teaming with DevSecOps?

The Continuous Security Validation Model

Technology companies should move beyond periodic red team assessments toward a continuous security validation model that integrates with the software delivery lifecycle:

Layer 1 — Automated Continuous Testing:

  • SAST (Static Application Security Testing) in every pull request
  • DAST (Dynamic Application Security Testing) against staging environments
  • Container image scanning in the CI/CD pipeline
  • Infrastructure-as-code scanning for misconfigurations
  • Dependency scanning for known vulnerabilities
  • Secrets scanning across all repositories

Layer 2 — Periodic Automated Red Teaming:

  • Automated adversary simulation (CART) running continuously
  • Breach and attack simulation across cloud infrastructure
  • Automated API fuzzing and security testing
  • Regular automated phishing simulations

Layer 3 — Human-Led Red Team Assessments:

  • Quarterly targeted assessments focusing on high-risk areas
  • Annual full-scope red team engagement
  • Ad hoc assessments for major architectural changes or product launches
  • Purple team exercises to improve detection and response

Layer 4 — Bug Bounty and External Testing:

  • Public or private bug bounty program for continuous external testing
  • Vulnerability disclosure program for responsible reporting
  • Periodic external security audit by independent assessors

Integration Points with DevOps Workflows

DevOps PhaseSecurity IntegrationRed Team Relevance
PlanThreat modeling for new featuresRed team findings inform threat models
CodeSAST, secrets scanning, code reviewRed team validates code-level controls
BuildDependency scanning, image scanningRed team tests build pipeline security
TestDAST, API security testingRed team validates application security
ReleaseDeployment credential managementRed team tests deployment security
DeployIaC scanning, runtime protectionRed team tests production controls
OperateMonitoring, incident responseRed team validates detection capability
MonitorLog analysis, anomaly detectionRed team tests monitoring coverage

What Does a Red Team Program Cost for a Technology Company?

Budget Framework by Company Size

Enterprise SaaS (1,000+ employees):

ComponentFrequencyEstimated Annual Cost
Full-scope red team assessmentAnnualUSD 120,000-200,000
Targeted cloud/API assessmentsQuarterlyUSD 80,000-160,000
CART platform licenseContinuousUSD 120,000-250,000
Bug bounty programContinuousUSD 100,000-300,000
Purple team operationsMonthlyUSD 40,000-80,000
Total annual investmentUSD 460,000-990,000

Growth-Stage SaaS (100-999 employees):

ComponentFrequencyEstimated Annual Cost
Targeted red team assessmentAnnualUSD 60,000-120,000
API security assessmentSemi-annualUSD 30,000-60,000
Automated security testing toolsContinuousUSD 40,000-80,000
Bug bounty program (private)ContinuousUSD 30,000-80,000
Total annual investmentUSD 160,000-340,000

Early-Stage Startup (<100 employees):

ComponentFrequencyEstimated Annual Cost
Focused security assessmentAnnualUSD 25,000-50,000
Automated scanning toolsContinuousUSD 10,000-25,000
Vulnerability disclosure programContinuousUSD 5,000-10,000
Total annual investmentUSD 40,000-85,000

For Swiss-based technology companies, the CybersecuritySwitzerland.ch resource hub provides guidance on selecting appropriate assessment types and connecting with qualified providers.

How Do Supply Chain Attacks Affect Technology Companies?

The Supply Chain Attack Kill Chain

Understanding the supply chain attack kill chain helps technology companies prioritize their defenses:

Stage 1 — Dependency Compromise: The attacker compromises an upstream dependency through maintainer account takeover, typosquatting, or direct code injection. This is the most common entry point, affecting the broadest range of downstream targets.

Stage 2 — Build System Infiltration: The attacker gains access to the target organization’s build system through compromised CI/CD credentials, self-hosted runner exploitation, or supply chain compromise of build tools themselves.

Stage 3 — Code Injection: Malicious code is injected into the build process, either through the compromised dependency or directly through the build system. The injected code is designed to survive code review and automated scanning.

Stage 4 — Artifact Distribution: The compromised artifact (container image, npm package, binary) is distributed to production environments or downstream customers through normal deployment channels.

Stage 5 — Execution and Impact: The malicious code executes in the target environment, typically establishing persistence, exfiltrating data, or enabling further access.

Red Team Supply Chain Assessment Approach

A thorough supply chain red team assessment for technology companies should test:

  1. Dependency integrity verification: Can the red team introduce a malicious dependency that passes automated checks?
  2. Build system isolation: Can the red team pivot from a compromised dependency to the build system?
  3. Code signing validation: Are artifacts signed, and are signatures verified at deployment?
  4. Runtime detection: Can the production environment detect execution of unexpected code?
  5. Incident response: Can the organization identify and roll back a supply chain compromise?

Supply chain red team findings (aggregated):

FindingFrequency
No dependency pinning or lockfile enforcement64%
Build systems with unrestricted internet access58%
Missing or unverified code signing53%
No SBOM (Software Bill of Materials) generation49%
Outdated dependencies with known critical vulnerabilities71%
No automated dependency update policy44%

What Are Best Practices for Red Teaming Technology Companies?

Engagement Design

  1. Include the full technology stack: Cloud infrastructure, application layer, APIs, CI/CD pipeline, and supply chain must all be in scope for full-scope engagements
  2. Use realistic threat models: Base scenarios on actual threat actors targeting the technology sector (e.g., Scattered Spider, Lapsus$ successors, state-sponsored groups)
  3. Test the development environment: Developer laptops, source code repositories, and internal tools are often the weakest link
  4. Include cloud-specific TTPs: Ensure the red team has deep expertise in the specific cloud providers used (AWS, Azure, GCP)
  5. Test API security in depth: Go beyond automated scanning to test business logic, authorization, and abuse scenarios

Program Integration

  1. Feed findings into the SDLC: Red team findings should generate backlog items tracked alongside feature development
  2. Establish security champions: Developers in each team who receive red team briefings and advocate for security improvements
  3. Measure detection coverage: Use purple team exercises to validate that SOC and SIEM tooling can detect the TTPs used by the red team
  4. Test incident response: Include IR process testing as a component of every red team engagement
  5. Benchmark continuously: Track red team finding trends over time to measure security program effectiveness

Common Pitfalls to Avoid

  1. Do not exclude the CI/CD pipeline: This is among the most impactful attack surfaces for technology companies
  2. Do not limit scope to production only: Development, staging, and build environments are often the initial entry point
  3. Do not rely solely on automated tools: Automated scanners miss business logic flaws, complex authorization issues, and novel attack paths
  4. Do not test in isolation: Red team engagements should involve the SOC and incident response team to test detection and response capabilities
  5. Do not neglect physical and social engineering: Even cloud-native companies have people who can be phished and offices that can be physically accessed

Frequently Asked Questions

How is red teaming for technology companies different from traditional red teaming?

Technology company red teaming emphasizes cloud-native attack techniques, CI/CD pipeline security, API exploitation, and supply chain compromise. The attack surface is predominantly digital and cloud-hosted rather than on-premises, and the assessment must account for rapid deployment cycles, microservice architectures, and extensive third-party integrations.

Should startups invest in red teaming?

Yes, but the scope should be proportionate to the company’s size and risk profile. Early-stage startups should begin with focused security assessments of their most critical assets (customer data, core product, and deployment pipeline) and expand to full-scope red teaming as they grow. A focused assessment starting at USD 25,000 can provide significant value.

How do you red team a SaaS application?

SaaS red teaming combines application security testing, API security assessment, cloud infrastructure testing, and CI/CD pipeline evaluation. The engagement should simulate an attacker attempting to compromise one tenant’s data, escalate to access other tenants’ data (tenant isolation testing), and gain access to the underlying infrastructure.

What cloud certifications should a red team provider have?

Look for providers with team members holding cloud-specific offensive security certifications such as AWS Certified Security - Specialty, GCP Professional Cloud Security Engineer, and offensive cloud certifications like CCSP. More importantly, evaluate the provider’s track record of cloud-native red team engagements and published research.

How does red teaming integrate with SOC 2 compliance?

Red team assessments directly support SOC 2 Trust Service Criteria, particularly CC7 (System Operations), CC6 (Logical and Physical Access Controls), and CC9 (Risk Mitigation). Red team findings and remediation evidence strengthen SOC 2 audit evidence and demonstrate proactive security testing.

What is the difference between a bug bounty and a red team assessment?

Bug bounties provide continuous external testing from a broad community, typically focused on individual vulnerabilities. Red team assessments simulate realistic, goal-oriented attacks by experienced operators who chain multiple vulnerabilities and techniques together. Both are complementary: bug bounties catch surface-level issues at scale, while red teams test deep attack paths and defensive resilience.


This industry guide is published by CybersecuritySwitzerland.com Research. Information is current as of January 2026. The technology landscape evolves rapidly; organisations should supplement this guide with current threat intelligence specific to their technology stack and deployment model.

Last updated: January 2026