AI Red Teaming and Penetration Testing
Securing an AI system is not the same as securing the infrastructure it runs on. AI models, large language model (LLM) applications and autonomous agents introduce vulnerabilities that traditional penetration testing is not designed to find.
Cherry Bekaert's AI red teaming and penetration testing engagements evaluate how AI-enabled systems behave when someone is actively trying to manipulate, mislead or exploit them, testing for prompt injection and jailbreaking, data pipeline integrity, model access and API exposure, agentic system abuse, and safety control bypass. Findings are mapped to the OWASP Top 10 for LLM Applications, MITRE ATLAS and the NIST Generative AI Risk Management Framework, giving your security and compliance teams the documentation needed to drive remediation and support governance requirements.
As AI becomes embedded in critical business operations, the question is no longer whether your models are deployed but whether they are deployed securely.
External Penetration Testing
Your internet-facing assets are the first thing an attacker sees and are the most frequently targeted. Cherry Bekaert's external penetration testing identifies vulnerabilities in websites, portals and remote access points that could allow unauthorized entry, giving your team a prioritized view of exposure before an adversary can act on it.
Internal Penetration Testing
The threat inside your perimeter is often more damaging than the one outside it. Cherry Bekaert's internal penetration testing advisors simulate an attacker who has already gained a foothold through compromised credentials, phishing or insider activity to determine how far they could move, what systems they could reach and how quickly sensitive data could be exposed.
Network Penetration Testing
Knowing your network is configured correctly is not the same as knowing it will hold under attack. Cherry Bekaert's network penetration testing assesses internal and external infrastructure including servers, firewalls and endpoints to determine how far an attacker could move, what they could access and how quickly they could escalate privileges. Findings are mapped to business impact so your team knows exactly where to focus remediation.
Web and Mobile Application Penetration Testing
Automated scanning tools find known vulnerabilities. They do not find how your application behaves when someone is actively trying to exploit it. Cherry Bekaert's application penetration testing evaluates web and mobile applications under real-world attack conditions uncovering flaws in business logic, APIs and user workflows that scanners miss and that attackers routinely exploit.
Cloud Penetration Testing
Cloud environments expand your attack surface in ways traditional testing does not cover. Cherry Bekaert evaluates cloud infrastructure, configurations and access controls across platforms to identify misconfigurations, insecure APIs and privilege escalation paths that could expose sensitive data or disrupt operations. Testing covers both single-cloud and complex hybrid and multi-cloud environments.
Social Engineering
Technology controls only go as far as the people operating them. Cherry Bekaert's social engineering simulations test how employees respond to phishing, pretexting and other manipulation tactics designed to bypass technical defenses, identifying gaps in awareness before a real attacker does and reinforcing the security behaviors that reduce human-layer risk across the organization.
Threat-based Red Teaming
Standard penetration testing tells you where the gaps are. Threat-based red teaming tells you whether your people, processes and technology can detect and respond when a sophisticated adversary is actively working against you. Cherry Bekaert's engagements are built around threat intelligence relevant to your industry and operating environment, we simulate the tactics, techniques and procedures of realistic threat actors to stress-test your detection and response capabilities against the attacks most likely to target your organization.
