Goals and areas of work
Kaspersky AIST
Secure AI for users
and developers
Protecting AI systems involves implementing additional information security measures that take into account the unique and specific features and vulnerabilities of AI components: data, models, and computing platforms.
Areas of work
Our partner is one of Russia's leading research organizations in AI security: the Trusted Artificial Intelligence Research Center based at the V.P. Ivannikov Institute for System Programming of the Russian Academy of Sciences (ISP RAS).
AI threat landscape
Data
Manipulating data in AI systems: threats to data integrity and confidentiality.
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Models
Malicious functionality hidden in model weights or layers, and the risk of knowledge extraction (model theft).
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Computing systems
Attacks targeting power consumption, performance, and hardware-level model destruction.
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AI in industry:
applications and risks

Critical infrastructure
AI use in energy, life support systems, security and control systems, transportation, and logistics.
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Agriculture
Efficient and sustainable production, cost optimization and forecasting, monitoring and control of production processes.
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Transport
Autonomous navigation, collision avoidance, predictive maintenance, route optimization, and safety.
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Monitoring and control
Object and human recognition, telemetry-based monitoring of production processes, and non-destructive testing.
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Education
Adaptive learning, process enhancements, automated assessment of assignments, and educational simulators.
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Manufacturing
Predictive diagnostics, digital twins, metrological support, and process control.
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Medicine
Disease prediction, diagnostics, and prevention, decision-support systems for doctors, and life support systems.
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Internet and banking
Speech technologies, voice assistants, chatbots, content (media and text) generation, and search functionality.
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Automotive
Automated traffic management, route planning, diagnostics and monitoring systems.
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Regulation
AI security services
Kaspersky AIST
We provide reliable protection for AI systems, safeguarding data, business processes, and AI infrastructure against potential threats.
Threat landscape analysis
Analysis of potential attack vectors on the customer’s AI solution, based on the specific risks of the field of application. We provide a detailed report with actionable recommendations for addressing threats and improving the overall security of the solution.