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Lacework Unveils AI Assistant for Enhanced Cloud Security

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Lacework unveils AI assistant to simplify cloud security – get personalized context for faster investigations, improve SOC efficiency, and leverage generative AI for compliance alerts and developer guidance.

Lacework, a data-driven cloud security company, announced a generative artificial intelligence (AI)assistant that gives enterprise customers a new way to engage with the Lacework platform by providing customized context to investigate and remediate proactive and reactive alerts. This capability extends the impact of existing security teams: it enables them to build stronger relationships with DevOps organizations while improving their hiring and retention outcomes.

Introducing Lacework AI Assist

Lacework AI Assist meets analysts at their level of expertise and helps them easily navigate security issues in complex cloud environments. It saves security teams time when investigating threats and significantly enhances cloud security operations centers’ (SOC) efficiency by providing them with personalized guidance for resolution. Leveraging the power of generative AI, Lacework’s assistive experience simplifies the understanding and actioning of compliance alerts for teams, fostering a culture of proactive risk management. Moreover, these capabilities allow SOC and security experts to build credibility with developers as it guide them through building up technical context to streamline the development process in the cloud.

“The Lacework assistive experience will give our cloud security engineers greater insight into alerts that will help our team with threat investigations, remediations, and operational efficiency,” states Colin Barr, Senior Engineering Manager of Application Security at Paddle. “Knowing that Lacework built their assistive technology with a private by-design architecture — for data ingestion and training the model — is also extremely important to us.”

The Lacework assistive experience provides customers with the capability to ask questions such as:

  • Why should I look at this alert?
  • What Lacework tools can I use to investigate this further?
  • How do I fix this misconfiguration using the AWS CLI?
  • Does this violation affect my SOC2 compliance?

Trending generative AI tools are only as effective as the data they can manipulate. Lacework is uniquely architectured to handle the immense volume, velocity, and variety of cloud data to detect known and unknown threats. Combining the insights generated from Lacework Polygraph machine learning with the assistive technology from LLMs offers customers a unique advantage to get faster outcomes.

A continued commitment to Private by Design solutions was a critical priority when developing the Lacework assistive experience. Lacework has taken extensive measures to ensure that customer data stays secure, which means that customer data is not used to train any models.

Leveraging Amazon Bedrock

Lacework now leverages the generative AI model services from Amazon Bedrock, a fully managed service from Amazon Web Services (AWS) that makes foundational models from leading AI companies and Amazon available via API. This integration deepens the relationship and builds on the technical collaboration between Lacework and AWS, allowing Lacework to experiment with different models to create the best customer experiences.

“Generative AI was a natural progression for us to build on the deep machine learning capabilities at the core of the Lacework platform’s anomaly detection,” said Adam Leftik, Vice President, Product, Lacework. “Our customers can use Lacework to secure themselves against potential generative AI threats and use generative AI assistance better to understand the risks and threats in their cloud environments. Utilizing Amazon Bedrock to do just that is an exciting technical win.”

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