L security company , has announced a Generative Artificial Intelligence ( AI ) assistant that gives enterprise customers a new way to engage with the Lacework platform by providing customised context to investigate and remediate proactive and reactive alerts .
cloud
INTELLIGENT
Lacework launches Generative AI assistant to level-up cloud security teams cloud
SECURITY
LLM-based assistive experience easily communicates critical alert context making security and engineering teams more effective at adopting new cloud technologies .
“ 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 ,” said Colin Barr , Senior Engineering Manager , Application Security at Paddle .
acework , a data-driven cloud
L security company , has announced a Generative Artificial Intelligence ( AI ) assistant that gives enterprise customers a new way to engage with the Lacework platform by providing customised 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 organisations while improving their own hiring and retention outcomes .
Introducing Lacework AI Assist
Lacework AI Assist meets analysts at their level of expertise and helps them navigate security issues in complex cloud environments with ease .
It not only saves security teams time when investigating threats , but also significantly enhances cloud security operations centers ’ ( SOC ) efficiency by providing them with personalised 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 guides them through building up technical context to streamline the development process in the cloud .
“ Knowing that Lacework built their assistive technology with a private by design architecture – for both data ingestion and for 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 further investigate this ?
• 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 and Lacework is architectured to handle the immense volume , velocity , and variety of cloud data in order to detect known and unknown threats .
Combining the insights generated from Lacework Polygraph Machine Learning with the assistive technology from LLM ’ s offers customers a unique advantage to get better outcomes , faster .
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 – as well as Amazon – available via API . This integration deepens the relationship and builds on the technical collaboration between Lacework and AWS , and allows 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 that are 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 , as well as use Generative AI assistance to better understand the risks and threats in their cloud environments . Utilising Amazon Bedrock to do just that is an exciting technical win .”
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