AI Red Teaming & Security

Red Teaming Services Protecting Business Workflows From Cyber Risks

Test LLM apps, copilots, agents, and GenAI workflows for prompt injection, data exposure, unsafe outputs, and misuse risks before they scale into business-critical workflows.

INTERNATIONALLY CERTIFIED

For safeguarding information

For quality management systems

Are AI systems creating new security risks?

Untested AI workflows

Growing teams are moving copilots, agents, and GenAI apps into real workflows before testing how they behave under misuse, manipulation, or unsafe inputs.

Prompt and data exposure risks

LLM systems can leak sensitive information, retrieve the wrong data, or expose internal context when prompts, RAG pipelines, and access controls are not properly tested.

Weak guardrail validation

AI guardrails may look effective in normal use but fail under prompt injection, jailbreaking, role manipulation, or unauthorized tool-use attempts.

Limited AI security expertise

Teams often lack dedicated AI security capacity, making it harder to identify, prioritize, and fix AI-specific risks before systems scale.

Red teaming services for safer AI adoption

AI Red Teaming & Security

LLM red teaming

Test large language model applications against adversarial prompts and unsafe outputs. Validate instruction bypass risks and sensitive data exposure before they reach users.

AI Red Teaming & Security

AI penetration testing

Assess AI-enabled applications and backend integrations for exploitable weaknesses. Find risks that could affect users, data or business workflows.

AI Red Teaming & Security

Prompt injection testing

Test direct and indirect prompt injection risks. Identify where prompts can override instructions, expose sensitive data or trigger unauthorized actions.

AI Red Teaming & Security

LLM security assessment

Review prompts, RAG pipelines, access controls and guardrails. Identify AI-specific security gaps before they affect production workflows.

AI Red Teaming & Security

AI model security

Assess model exposure and access controls. Test for model extraction, data leakage and misuse before AI systems reach sensitive workflows.

AI Red Teaming & Security

AI agent security testing

Test AI agents for excessive permissions and unsafe actions. Validate tool use, approval flows and access to sensitive data.

AI Red Teaming & Security

Adversarial AI testing

Run controlled attack simulations against AI workflows. Test resilience against jailbreaking, data poisoning, guardrail bypass and unsafe behavior.

AI Red Teaming & Security

GenAI security

Secure GenAI applications by testing prompts, data access, outputs and workflow behavior. Reduce risk across business logic and connected systems.

AI Red Teaming & Security

AI vulnerability assessment

Identify weaknesses in model usage, input handling, output validation and agent permissions. Find the gaps that create security or business risk.

AI Red Teaming & Security

LLM security audit

Review AI system controls, architecture, logs, guardrails and governance practices against recognized AI security frameworks.

Protect customers, data, and workflows before AI scales

tkxel helps growing businesses test LLM apps, GenAI workflows and AI agents before they reach customers, employees or sensitive business processes.

How tkxel tests AI systems for growing businesses

Discovery & mapping

Each engagement starts with a clear view of your AI environment. We map the LLM applications, RAG pipelines, agents and exposed access paths that could create risk in real business workflows.

Deliverables: AI asset inventory, LLM architecture map, red team scope document

Staging & planning

The plan defines what will be tested, how far testing can go, and which adversarial scenarios matter most. Where required, findings can be aligned with recognized AI security references such as OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF.

Deliverables: AI red team test plan, adversarial scenario library, framework-mapped checklist

Initial access delivery

We run controlled attack techniques such as prompt injection, jailbreaking and unauthorized data access attempts. These tests show how attackers or misuse scenarios could affect LLM apps and AI agents.

Deliverables: Attack execution log, prompt injection findings, jailbreak test results

Post-access operations

After initial manipulation, the team tests how far misuse could progress. This includes tool abuse, excessive permissions, sensitive data exposure, model extraction and unsafe workflow execution.

Deliverables: Adversarial testing report, guardrail bypass analysis, AI vulnerability assessment summary

Reporting & analysis

The engagement closes with clear findings, business impact, and remediation guidance. Product, engineering, and security teams receive prioritized recommendations that show which AI risks to fix first and how to reduce exposure across prompts, data access, guardrails, and workflow behavior.

Deliverables: Executive risk report, technical findings report, prioritized remediation plan

How tkxel tests AI systems for growing businesses

step 1

Discovery & mapping

Each engagement starts with a clear view of your AI environment. We map the LLM applications, RAG pipelines, agents and exposed access paths that could create risk in real business workflows.

Deliverables: AI asset inventory, LLM architecture map, red team scope document

step 2

Staging & planning

Deliverables: AI red team test plan, adversarial scenario library, framework-mapped checklist

step 3

Initial access delivery

Deliverables: Attack execution log, prompt injection findings, jailbreak test results

step 4

Post-access operations

After initial manipulation, the team tests how far misuse could progress. This includes tool abuse, excessive permissions, sensitive data exposure, model extraction and unsafe workflow execution.

Deliverables: Adversarial testing report, guardrail bypass analysis, AI vulnerability assessment summary

step 5

Reporting & analysis

What AI red teaming helps your business protect

Safer AI rollout

Identify prompt, model, data, access and workflow risks before AI systems move into production.

Validated guardrail effectiveness

Test whether guardrails can stop prompt injection, jailbreaking, unsafe outputs and unauthorized tool use.

Reduced business and data risk

Understand how AI failures could affect sensitive data, customer trust, compliance and operations.

Clear remediation priorities

Give product, engineering and security teams clear guidance on which AI risks to fix first.

Continuous AI security readiness

Retest AI systems as models, prompts, RAG pipelines and integrations evolve.

Improve your security posture

Secure now

Success stories in spotlight

Remediated 95% of critical vulnerabilities, resolving 67+ issues and improving security posture by 80%.

Healthcare & Life SciencesCybersecurity & Application Penetration Testing

"Working with tkxel on our extensive penetration test was a highly effective and positive experience. Their team conducted a thorough, multi-phase assessment across our web, mobile, and cloud environments”

Enhancing cybersecurity and integration for global banking

FInancial ServicesCybersecurity

View case study

“Partnering with tkxel improved our cybersecurity and QA, making our tech smoother and safer.”

Steve Russell

CIO, Barclays

95% of critical vulnerabilities remediated through phased testing

Healthcare & Life SciencesCybersecurity

View case study

"Working with tkxel on our penetration test was effective; they assessed web, mobile, and cloud, efficiently."

Information Technology Manager

70% improvement in overall security posture via continuous testing

FInancial ServicesCybersecurity

View case study

"tkxel uncovered vulnerabilities across web, mobile, and cloud, helped our team close them fast, and raised our security readiness."

Director of Technology

AI security testing for business-critical workflows

Adversarial testing beyond basic checks

tkxel tests how AI systems behave under prompt injection, jailbreaking, data leakage, unsafe outputs, tool misuse, and model abuse scenarios.

Testing built around real AI risks

Each exercise is structured around the risks that matter most to your AI workflow, including prompt behavior, data access, guardrail strength, agent permissions, and connected system exposure.

Report and remediation included

Your team receives clear findings, exploited paths, business impact, and prioritized remediation guidance that engineering and security teams can act on.

Continuous red teaming support

AI systems can be retested as prompts, models, RAG pipelines, agents, integrations, and guardrails change over time.

Our cybersecurity certifications
and accreditations

Certified Red Team Professional (cRTP)

eCPPT Certification

Practical Network Penetration Tester

CERTIFIED BUG BOUNTY HUNTER (CBBH)

Microsoft Cloud Red Team Professional (MCRTP)

TRYHACKME CERTIFIED

RED TEAM ANALYST (CRTA)

API Security Certified Professional (ASCP)

Certified Ethical Hacker (CEH)

Information security management (ISMS)

APISEC UNIVERSITY ASCP

APISEC UNIVERSITY CASA

CCSM isc2

Download AI Risk Assessment Checklist

Uncover where AI is being used across teams, vendors, and business functions
Review whether sensitive customer, financial, or employee data is restricted from AI tools
Clarify ownership, human oversight, escalation paths, and response steps for AI risks

Methodologies and frameworks

OWASP

NATIONAL INSTITUTE OF STANDARDS & TECHNOLOGY

OWASP MOBILE APPLICATION SECURITY

SANS INSTITUTE

General Data Protection Regulation (GDPR)

We’ve been recognized by the best, year after year

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

titan business PLATINUM award AI & AUTOMATION

FINANCIAL TIMES

mogul people leader

FORBES COACHES COUNCIL

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

ISO 9001 CERTIFIED

CMMI DEV 3 CERTIFIED

Secure AI workflows before they scale

“tkxel completely transformed the way we manage our customer relationships. Their customized CRM system streamlined our processes and improved customer satisfaction. We highly recommend their services to any business looking for real results.”

Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

“tkxel has proven beyond par that they excel not just in building and integrating with our team but building at a level that is at par with any US development team. Working with tkxel is one of the best decisions we have made.”

Umair Bashir

CTO, Replenium

“tkxel shared our vision right from the get go, and helped us achieve the unthinkable through perseverance and a thorough attention to detail. Their team was highly professional and possessed a firm grasp on technicalities, a combination that is hard to find in the industry.”

Pam Chitwood

Product Manager, ABB

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Nick Drogo

Global Director IT, Knowles

“They helped us build a docketing app with an intuitive user interface, allowing our attorneys to track over 10,000 U.S. and international patent systems.”

Robert K Burger

COO, Sterne Kessler

Umair Bashir

CTO, Replenium

Pam Chitwood

Product Manager, ABB

Frequently asked questions

What are AI red teaming services?

AI red teaming services test AI systems, LLMs, GenAI applications, agents, prompts, data flows, and guardrails against adversarial attacks to identify security risks before deployment or scaling.

How is AI red teaming different from traditional red teaming?

Traditional red teaming tests networks, applications, identities, and human defenses. AI red teaming focuses on AI-specific risks such as prompt injection, jailbreaking, data leakage, unsafe outputs, model extraction, data poisoning, tool misuse, and guardrail bypass.

What is LLM red teaming?

LLM red teaming is adversarial testing of large language model applications to check whether prompts, outputs, retrieval systems, tools, plugins, and access controls can be manipulated or misused.

Do you provide prompt injection testing?

Yes. tkxel tests direct and indirect prompt injection attacks that may override system instructions, expose sensitive data, manipulate model behavior, or trigger unauthorized actions.

What is an LLM security assessment?

An LLM security assessment reviews the security of an LLM application, including prompts, RAG pipelines, data access, APIs, plugins, output handling, monitoring, guardrails, and governance controls.

Do we test against OWASP Top 10 for LLM Applications?

Yes. Our LLM security audit and AI vulnerability assessment can be mapped to OWASP Top 10 for LLM Applications, including prompt injection, sensitive information disclosure, insecure output handling, data poisoning, and excessive agency.

Do we use MITRE ATLAS?

Yes. We can map red team exercises to MITRE ATLAS to structure adversarial AI testing around recognized tactics and techniques for AI-enabled systems.

Do you provide remediation support?

Yes. Every engagement includes a report and remediation guidance with prioritized findings, technical recommendations, framework mapping, and retesting recommendations.

Is continuous red teaming needed for AI systems?

Yes. AI systems change as models, prompts, retrieval sources, tools, plugins, and integrations evolve. Continuous red teaming helps validate whether guardrails and controls still work after those changes.

What is AI model security?

AI model security focuses on protecting models from misuse, data leakage, model extraction, unauthorized access and manipulation attempts before AI systems are used in sensitive workflows.

Red Teaming Services Protecting Business Workflows From Cyber Risks

INTERNATIONALLY CERTIFIED

ISO 27001 Certified

ISO 9001 Certified

Are AI systems creating new security risks?

Untested AI workflows

Prompt and data exposure risks

Weak guardrail validation

Limited AI security expertise

Red teaming services for safer AI adoption

LLM red teaming

AI penetration testing

Prompt injection testing

LLM security assessment

AI model security

AI agent security testing

Adversarial AI testing

GenAI security

AI vulnerability assessment

LLM security audit

Protect customers, data, and workflows before AI scales

How tkxel tests AI systems for growing businesses

Discovery & mapping

Staging & planning

Initial access delivery

Post-access operations

Reporting & analysis

How tkxel tests AI systems for growing businesses

Discovery & mapping

Staging & planning

Initial access delivery

Post-access operations

Reporting & analysis

What AI red teaming helps your business protect

Safer AI rollout

Validated guardrail effectiveness

Reduced business and data risk

Clear remediation priorities

Continuous AI security readiness

Improve your security posture

Success stories in spotlight

Remediated 95% of critical vulnerabilities, resolving 67+ issues and improving security posture by 80%.

Enhancing cybersecurity and integration for global banking

95% of critical vulnerabilities remediated through phased testing

70% improvement in overall security posture via continuous testing

AI security testing for business-critical workflows

Adversarial testing beyond basic checks

Testing built around real AI risks

Report and remediation included

Continuous red teaming support

Our cybersecurity certifications and accreditations

Certified Red Team Professional (cRTP)

eCPPT Certification

Practical Network Penetration Tester

CERTIFIED BUG BOUNTY HUNTER (CBBH)

Microsoft Cloud Red Team Professional (MCRTP)

TRYHACKME CERTIFIED

RED TEAM ANALYST (CRTA)

API Security Certified Professional (ASCP)

Certified Ethical Hacker (CEH)

Information security management (ISMS)

APISEC UNIVERSITY ASCP

APISEC UNIVERSITY CASA

CCSM isc2

Download AI Risk Assessment Checklist

Methodologies and frameworks

OWASP

NATIONAL INSTITUTE OF STANDARDS & TECHNOLOGY

OWASP MOBILE APPLICATION SECURITY

SANS INSTITUTE

General Data Protection Regulation (GDPR)

We’ve been recognized by the best, year after year

AMERICA’S FASTEST GROWING COMPANY

Top 15 inspiring workplaces for 2026

titan business PLATINUM award AI & AUTOMATION

FINANCIAL TIMES

mogul people leader

FORBES COACHES COUNCIL

ISO 27001 CERTIFIED

ISO 20000 CERTIFIED

Our cybersecurity certifications
and accreditations