Data Poisoning Prevention
Stop adversarial attacks at the source. OmniSeal™ verifies data integrity before AI ingestion, preventing malicious data from corrupting your machine learning models.
What is Data Poisoning?
Understanding the threat that compromises AI systems from within
Data poisoning is a type of adversarial attack where malicious actors deliberately inject corrupted, mislabeled, or manipulated data into the datasets used to train AI and machine learning models. Unlike traditional cyberattacks that target systems directly, data poisoning attacks the foundation of AI intelligence—the data it learns from.
How It Happens
- •Injecting mislabeled training examples
- •Manipulating images with invisible perturbations
- •Corrupting data pipelines and storage systems
- •Compromising third-party data sources
The Consequences
- •Biased or discriminatory AI decisions
- •Incorrect predictions affecting critical systems
- •"Zombie AI" that behaves unpredictably
- •Backdoors enabling future exploitation
Why traditional security fails: Data poisoning attacks are particularly dangerous because they bypass conventional security measures. Firewalls, encryption, and access controls cannot detect whether training data has been subtly manipulated. By the time an AI exhibits problematic behavior, the poisoned data has already been ingested and learned—making remediation extremely difficult and costly.
How OmniSeal™ Stops Data Poisoning
Integrity Checks Before AI Ingestion
Every piece of data is verified against its embedded seal before being fed to AI models, ensuring only authentic data enters training pipelines.
Detects Invisible Tampering
OmniSeal™ identifies modifications that are imperceptible to human eyes, catching adversarial perturbations and subtle manipulations.
Prevents Learning Corruption
By blocking compromised data at the gate, OmniSeal™ prevents poisoned samples from influencing model weights and decision boundaries.
Adversarial Attack Defense
Protects against sophisticated attacks including label flipping, backdoor injection, and gradient-based perturbations.
Industries Most at Risk
Healthcare
Poisoned diagnostic models could misdiagnose patients
Financial Services
Corrupted fraud detection could approve malicious transactions
Autonomous Systems
Manipulated perception models could cause accidents
Protect Your AI from Data Poisoning
Don't let compromised data corrupt your AI models. Implement OmniSeal™ data integrity verification today.