Protect your data. Power every decision.
Cyera secures sensitive information across your AWS environment, so you can move faster with AI, analytics, and innovation. Your data stays safe, your teams stay confident.
AI speeds up innovation, and it also speeds up risk.
Data sprawl stays unchecked
S3 buckets multiply, roles grow overly permissive, and outdated datasets stick around. Sensitive information remains exposed, with no quick path to fix it.
Inconsistent tags break protection
When AWS tagging is incomplete or wrong, IAM and service policies fail quietly, creating false alerts, wasted effort, and dangerous blind spots.
AI inherits excessive permissions
If Bedrock or SageMaker can see it, they can train on it, even if it’s data that should never leave secure storage.
Tool silos slow investigations
Security Hub, Access Analyzer, and audit logs create separate streams of findings with little context. It can still take hours to identify the real threat.
Your Unified View of Data Security Across AWS.
Cyera discovers and classifies sensitive data across your entire AWS environment, from storage in S3, RDS, and Redshift to AI services like SageMaker, Bedrock, and Amazon Q. Once you know what you have and where it lives, Cyera shows you who can access it, the risks it creates, and how to fix them fast. You get one unified view of data security across AWS, powered by precise classification, intelligent automation, and AI-aware insight, so you can scale without sacrificing security.
Keep Amazon Bedrock data secure
Cyera helps you ensure Bedrock models, agents, and data sources handle sensitive information safely. You get visibility into how data is used, where risks may exist, and guidance to keep AI workloads secure.
Identify when regulated data is used for model training, inference, or external integrations.
Find exposed storage, unsafe prompts containing secrets, and other conditions that could lead to data leakage or model compromise.
Get clear remediation steps, from tightening access policies to using approved datasets, so you can adopt Bedrock with confidence.
Discover and protect sensitive data across AWS before it’s exposed
See every sensitive dataset across your AWS environment, and act fast to reduce risk. Cyera scans AWS storage like S3, RDS, and Redshift, plus analytics platforms like Snowflake, to pinpoint and classify PII, PHI, and regulated records. With this visibility, you can shut down exposure before AI models, analytics, or external users touch the data.
Get a single view of sensitive data across AWS. See where it lives, how it's used, and who can access it. Even track data lineage from S3 into Snowflake.
Spot public buckets, unencrypted files, and over-permissioned datasets before they cause damage.
Revoke public S3 access, trigger automated fixes, and bring the right teams in immediately.
Keep cloud migrations clean, secure, and under control
Cyera protects sensitive data during every AWS migration with no gaps and no drift. Whether you’re moving from on-prem or between AWS accounts, Cyera tracks and labels sensitive data every step of the way.
Analyze your source environment to understand what’s sensitive and what’s protected.
Ensure encryption, tags, and permissions stay intact post-migration.
Set up continuous monitoring to keep sensitive data protected for the long term.
Strengthen your AWS security stack with context that matters
Add data sensitivity to AWS findings so your team fixes what really matters. Cyera overlays classification insights onto Access Analyzer and Security Hub alerts, turning raw signals into clear, prioritized actions.
Correlate alerts with business context to see the real impact quickly.
Pinpoint roles or accounts with unnecessary access to sensitive data.
Feed enriched alerts back into AWS services so teams can act where they already work.
The fastest-growing data security company on the planet
Secure your data, wherever it lives.
Protect and control your data and AI - at the speed, scale, and precision only Cyera can deliver. Uncover sensitive data across your SaaS, IaaS, DBaaS and on-premises environments, and do it with 95% precision.
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