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Remediate AI Vulnerabilities

Every engagement is tailored to the design, logic, and business purpose of your AI implementation to identify gaps that may allow attackers to manipulate model behavior or abuse connected systems.

Automated Testing, Expert Advisory

Along with controlled exploitation, our consultants assess how your LLM applications process input, generate responses, and interact with internal data, external tools, APIs, and business workflows.

Prioritized Recommendations

The assessment delivers practical, evidence-based insight into your AI security posture that can help your security, engineering, and risk teams understand vulnerability impact and prioritize remediation.

59.2%

say their organization has experienced social engineering attacks they believe involve AI

55.7%

say their organization has experienced malware-based attacks that involve AI

Launch attack simulations on your apps, infrastructure, cloud, and hardware 

Bitdefender brings over 25 years of cybersecurity and compliance expertise across all major security standards and industries. 

Our offensive-security consultants hold recognized industry certifications, including the OffSec AI Red Teamer (OSAI), ISC2 Certified Cloud Security Professional (CCSP), OffSec Exploit Developer (OSED), OffSec Certified Professional (OSCP), OffSec Web Expert (OSWE), CREST Practitioner Security Analyst (CPSA), and AWS Certified Solutions Architect – Associate.

OSAI
AWS CERTS
CCSP ISC2
OSED
OSCP
OSWE
CPSA
Attack surface in GravityZone

Uncover your actual attack surface 

Reconnaissance and planning to map out the realistic attack vectors and threat model to focus on the risks that matter most to your organization.

 

Web Application Gray-Box Penetration Test interface

Gain insight into your exploitable vulnerabilities

Bitdefender identifies your vulnerabilities — simple and complex — on the target and proceeds to chain exploits and compromise the target hosts to achieve maximum damage. See penetration test reports with CVSS-based severity and proof-of-exploit evidence.

Report Findings platform dashboards

Clear compliance requirements with audit-ready penetration test report

Get a detailed report of the penetration test, including what was exploited and remediated — for MAS TRM, PCI DSS, ISO 27001, GDPR etc.

Integrated with Supporting Security Services

AI Governance, Risk, and Compliance Advisory

Assessment support for recognized standards and regulations, including ISO/IEC 42001 and the EU AI Act.

Red Teaming

Validate detection and response across people, processes, and AI infrastructure.

AI Penetration Testing Process

Engagement Model: Thorough, Transparent, Actionable

  • Reconnaissance and Scoping: Review of your AI architecture, data flows, model interfaces, prompts, trust boundaries, connected APIs, plugins, agents, and retrieval systems to define a focused test scope. 

  • Adversarial Testing: Simulating realistic attacks to assess how the LLM application responds to manipulation, untrusted input, prompt injection, jailbreak attempts, data extraction, insecure outputs, and unintended tool use. 

  • Controlled Exploitation: Safely validating identified weaknesses within agreed scope to determine potential impact on data, systems, users, and business logic.

  • Reporting and Remediation: Providing risk-rated findings, supporting evidence, reproduction steps, business impact analysis, and prioritized remediation guidance mapped to recognized AI security frameworks.

 

Backed by Global Cybersecurity Expertise

When critical assets are not tested, exploitable vulnerabilities can increase in number, in turn increasing risk exposure and slowing down wider transformation initiatives. Bitdefender can assist you with a CREST-accredited team with advanced certifications and a proven track record delivering hundreds of tests for organizations of all sizes. You can expect:

Advancing AI in Security Since 2008

Bitdefender has been shaping the future of AI in security through open research and advancements translated into an AI-powered security platform.

Backed by Active Academic Research

With 70+ academic papers published and 50+ Bitdefender researchers teaching at universities, Bitdefender is highly active in advancing AI to tackle present and future challenges and threats.

Advanced AI Training Techniques 

Bitdefender uses genetic algorithms to train AI models and generative adversarial networks (GANs), where one AI creates new breach methods while another counters them.

Powered by Threat Intelligence at Scale

Bitdefender extracts 60,000+ unique data points for its machine learning algorithms, discovers 400+ threats every minute, and processes 50 billion daily threat queries.

Why choose Bitdefender?

  • vector - shield

    Gain visibility into AI-specific risk across models, prompts, APIs, agents, data pipelines, plugins, and connected workflows.

  • vector

    Identify vulnerabilities before attackers do, from prompt injection and jailbreaks to data leakage, excessive agency, insecure outputs, and tool abuse.

  • vector

    Validate AI deployments before production or wider adoption through automated scanning combined with expert-led adversarial testing.

  • vector - shield

    Understand the real-world business impact of AI weaknesses on sensitive data, systems, users, and operations within a controlled scope.

  • vector

    Strengthen AI security and governance with actionable findings, including severity ratings, evidence, reproduction steps, and remediation guidance.

FAQs

What types of AI risks does Bitdefender test for?

Prompt injection, jailbreaks, sensitive data exposure, excessive agency, insecure outputs, tool abuse, RAG weaknesses, and API or plugin risks. If you are unsure, please reach out to our team of experts to discuss scope.

Will testing affect our production environment?

Aligning with your business goals, testing is performed within an agreed scope and controlled exploitation to safely validate vulnerabilities and understand your potential risk posture.

Which AI security frameworks does Bitdefender align with?

Findings and recommendations can be mapped to recognized frameworks such as the OWASP Top 10 for Large Language Model Applications and MITRE ATLAS.

How do you scope and price engagements?

We start with objective-focused scoping (objective, assets, approach, constraints, budgets) and propose person-days based on depth and breadth. Pricing is tailored to the scope and testing approach (black/grey/white box).

What do deliverables include?

Our report includes an executive summary, detailed findings prioritised by CVSS scores, exploitation evidence, impact analysis, and actionable remediation steps, and even a readout for stakeholders.

When should we conduct an LLM Security Assessment?

Assessments can help before deployment, adding new integrations, or validating the security of an existing AI application.

What is the difference between a manual penetration testing approach vs a fully automated one?

Manual penetration testing is human-led, done with precision by skilled ethical hackers. Automated penetration testing is software-led. Both attempt real exploitation to prove what an attacker could do, so the difference is speed and depth. Bitdefender's consultant-led approach combines manual testing expertise supported by responsible use of AI-assisted automated scans and exploitation. 

What do we receive after the assessment?

You receive risk-rated findings and prioritized remediation guidance.

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See AI risk across your entire environment to adopt and scale with confidence.

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