AI Security Posture Management (AISPM): Protection and integrity for AI and ML systems
AISPM is a comprehensive approach that aims to ensure the security and integrity of artificial intelligence (AI) and machine learning (ML) systems. This approach involves continuously monitoring, assessing and improving the security posture of your AI models, data and infrastructure.
With AISPM, organisations can actively detect vulnerabilities and misconfigurations and identify potential risks associated with the introduction of AI. This system not only supports the resolution of security issues, but also ensures compliance with relevant data protection and security regulations.
By implementing AISPM, you ensure that your AI and ML operations are both secure and compliant, which is essential for protecting against increasing cyber threats and maintaining the trust of your customers.
Why should you choose ITNB AI-SPM?
Maximise the safety of your AI systems with ITNB AI-SPM
Continuous monitoring: We proactively monitor the health, accuracy, and security of your AI models to ensure that they function optimally and securely.
Risk management: Actively identify and mitigate risks such as data poisoning, hostile attacks, and model extraction that could jeopardise your AI systems.
Regulatory compliance: Ensure compliance with data protection and security regulations to protect your organisation from legal and compliance issues.
Proactive security measures: Deploy ITNB AI-SPM to stay one step ahead of potential threats, minimise data exposure, and reduce the risk of data breaches.
AI-SPM explained: Security management for AI systems
In today's cybersecurity landscape, AI systems are indispensable but pose unique security risks. AI-SPM (Artificial Intelligence Security Posture Management) is designed to address these risks. It provides advanced mechanisms for visibility, assessment and mitigation of threats associated with AI components within technology ecosystems. This proactive approach ensures that the security of AI systems is an integral part of the entire AI lifecycle, from development to deployment.
The importance of AI-SPM: protection against new risks in the AI landscape
The use of AI systems leads to new attack vectors that cannot be covered by conventional security measures. These include:
Data Poisoning: malicious actors can manipulate training data by inserting distorted or malicious data. This can lead to AI systems making incorrect predictions or decisions.
Adversarial attacks: Subtle perturbations of input data can mislead AI systems, leading to incorrect predictions or decisions.
Model extraction: Unauthorised access to proprietary models can result in the theft of internal parameters, leading to serious misuse of intellectual property.
By implementing AI-SPM, companies can proactively protect their AI systems from these and other threats. AI-SPM ensures that the security and trustworthiness of AI applications are consistently guaranteed from development to operational use by providing continuous monitoring and adaptive security strategies.