AI Security Services
With the exponential growth of artificial intelligence and large language models (LLMs), there is an increasing need for robust AI and LLM-specific security measures. We specialize in designing and implementing comprehensive AI security solutions to protect your systems and data. Our services include threat modeling for AI systems, securing model pipelines, and evaluating potential vulnerabilities in LLM deployments. This involves selecting the right security frameworks and tools through criteria definition, vendor comparisons, and proof-of-concept evaluations. Our offerings also include creating AI-specific security architectures tailored to your requirements and aligned with industry best practices. We manage implementation, fine-tuning, and continuous optimization. Additionally, we provide ongoing management to ensure continuous monitoring, threat detection, response, and support for your AI systems.
AI Security Engagements
We provide number of AI Security Services, for your organizations need.
Uncover vulnerabilities before attackers do. Our AI Penetration Testing service probes your AI and machine learning systems for weaknesses in model logic, API endpoints, data pipelines, and governance frameworks. From prompt injection attacks on LLMs to adversarial examples in image recognition models, we simulate real-world threats that compromise AI reliability and security. With cutting-edge techniques aligned to OWASP Top 10 for AI, we deliver actionable insights to fortify your AI systems against emerging risks.
Simulate, test, and adapt. Our AI Red Teaming service mimics sophisticated adversaries targeting your AI systems. Leveraging Mitre ATLAS and threat modeling frameworks, we craft custom attack scenarios like model inversion, data poisoning, and evasion attacks. The goal? Test your defenses against evolving threats, provide a real-world assessment of your AI resilience, and ensure your systems can withstand even the most advanced attackers.
Stay ahead with proactive protection. Our AI Security Monitoring integrates real-time threat detection with contextual alerting tailored for AI and LLM environments. Using advanced telemetry, we monitor model drift, unusual API usage, and adversarial inputs, ensuring timely identification of threats. Our risk-based approach delivers clear, actionable alerts while filtering noise, keeping your AI systems resilient and operationally secure.
Empower your team to secure AI. Our comprehensive training programs focus on AI-specific threats, covering adversarial attacks, LLM-specific risks, and secure deployment practices. Tailored for security professionals, developers, and executives, the curriculum blends hands-on labs with the latest insights into NIST and OWASP standards. By the end, your team will confidently implement and defend cutting-edge AI technologies.