Safeguard Your AI Systems Against Cyber Attacks
AI models and applications are vulnerable to prompt injection, data leakage, adversarial attacks, and unauthorized modifications. AppSecure’s hacker-driven approach ensures the security and integrity of your AI-powered solutions.
Comprehensive penetration testing for AI systems
Defending against prompt injection and adversarial attacks
Ensuring compliance with AI security frameworks
Why AI Systems are Prime Targets for Cyber Attacks
As AI adoption accelerates across industries, so do the risks of malicious exploitation. AI security concerns include
Attackers manipulate AI models by injecting malicious inputs, altering decision-making processes.
Threat actors craft subtle data modifications that deceive AI systems, leading to biased outputs and security breaches.
Weak security controls expose AI models to unauthorized alterations, corrupting training datasets and predictions.
Insecure AI implementations leak sensitive training data, violating GDPR, CCPA, and other data protection regulations.
Attackers exploit model vulnerabilities to gain unauthorized access, stealing intellectual property or injecting rogue behaviors.
Comprehensive AI Security Testingand Protection
AppSecure employs offensive security methodologies to identify vulnerabilities in AI-driven platforms and secure them against real-world cyber threats.
Simulating manipulative attack scenarios to assess AI robustness against malicious inputs
Thoroughly evaluating AI algorithms for biases, poisoning risks, security loopholes, and potential vulnerabilities.
Securing ML APIs, data ingestion pipelines, and external integrations from cyber threats
Ensuring AI deployments meet GDPR, NIST AI Risk Management Framework, ISO 42001 security standards.
Detecting threats in real-time to prevent AI model drift and unauthorized modifications.
People Love What We Do
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AppSecure helped us uncover vulnerabilities that traditional security assessments missed. Their red teaming approach is unmatched.
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We have been working with AppSecure for 3 years, and their deep security expertise has been invaluable in securing our applications.
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Pioneering AI Security with Hacker-Led Testing
Skilled ethical hackers simulate real-world AI attacks to strengthen AI defenses.
Ensuring AI applications meet GDPR, ISO 42001, and emerging AI risk frameworks.
ontinuous AI threat detection to mitigate adversarial and data poisoning risks.
Effortless AI security integration into ML Ops and CI/CD pipelines for robust protection.
Strengthen Your AI Security Today.
Ensure the security and reliability of your AI models against evolving cyber threats.
Questions You May Have
Why do AI-driven systems require specialized security?
AI systems are vulnerable to prompt injections, adversarial manipulations, and model theft, requiring specialized security testing beyond traditional cybersecurity.
How does penetration testing apply to AI security?
AI penetration testing simulates malicious prompts, poisoning attacks, and adversarial inputs to detect security flaws in AI applications and ML models.
Does AppSecure help with AI compliance?
Yes! We assist AI companies in aligning with GDPR, ISO 42001, NIST AI Risk Management, SOC 2, ISO 27001 and other emerging AI security standards.
How often should AI security testing be performed?
AI security must be continuous. We recommend quarterly AI penetration testing and ongoing model integrity monitoring to prevent cyber threats