Data Spills, Leaks, Contamination in AI Pipelines
Data Spills, Leaks, Contamination in AI Pipelines
Data breaches have been significantly increasing. Records of confidential Data prior to the digital period were prone to security breach through hardcore in person theft.
With the evolving digital world, data breach of all kinds is happening through cyber attacks.
Emerging Artificial Intelligence which relies wholly on training data, ranging from classification to confidential PII data ,is nothing less.Securing them from all threats is a major concern.
Most of the time the data leakages occur in organizations where data is deemed confidential.Danger of the data spill can stop the environment from functioning.
Data spills occur as a result of data transfer from a classified setting to an unauthorized environment. Data spills can occur in the form of inadvertent,willful or negligent acts by humans.Security violations may be intentional or unintentional leading to exposure and disclosing the data when it is needed to be secure.
Generative AI & ML pipelines are vulnerable to cross boundary pollution from environment moves around the AI system.
Inadvertent
Inadvertent attacks come from human errors and caused not through deliberate action. Some examples may be receiving phishing emails, corrupted files or media, through third party softwares,documents overridden.
Wilful
Wilful attacks come from humans who deliberately perform data spills to cause disruptions and hinder the performance of the organization.Data leakage may be wiping out of the data partly or overriding data with unwanted information.An employee performing illegal acts due to personal unethical behaviors with the organization.
Negligent
Negligent attacks come from not taking precautions to secure your data.Not using a firewall or other antivirus softwares to protect data can lead to unwanted attacks.Browsing unprotected websites which are not secured,downloading softwares from unprotected websites are some key points to be aware of to keep the system from external manipulations.
Steps to consider to address data spills
Data spill emerges-Identification of a data spill or a first seen notification of a data spill.
Identify where the spillage occurred.Identify the boundaries of the spillage.
Isolate
Isolate the data spill environment from other networks, environment settings.
Cut down the area of leakage if needed to quarantine the facility or the system.
Assess
Run through analysis to assess the damage incurred.
Run a root cause analysis of how the leakage occurred.
A diagnosis software may be utilized for this purpose.
Mitigate
Find mitigation plans to restore the data spill system.
Install a thorough plan to bring the environment under control and suggest remediation.
Prevent Further leakage
Secure the environment from further attacks.
Take appropriate actions to avoid future attacks.
Alert AI we are researching solutions to pipeline attacks in AI that can cause Spills, Leaks, Contamination
in Generative AI & AI environments.
Alert AI Operationalizes security for AI in your business use cases with Domain-specific guardrails.
About ALERT AI
What is at stake AI & Gen AI in Business? We are addressing exactly that. Generative AI security solution for Healthcare, Insurance, Retail, Banking, Finance, Life Sciences, Manufacturing.
Alert AI is end-to-end, Interoperable Generative AI security platform to help enhance security of Generative AI applications and workflows against potential adversaries, model vulnerabilities, privacy, copyright and legal exposures, sensitive information leaks, Intelligence and data exfiltration, infiltration at training and inference, integrity attacks in AI applications, anomalies detection and enhanced visibility in AI pipelines. forensics, audit,AI governance in AI footprint.
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