Lacework - Detailed Review
Security Tools
Lacework - Product Overview
Lacework Overview
Lacework is a leading cloud security platform that leverages advanced artificial intelligence (AI) and machine learning (ML) to protect cloud environments. Here’s a brief overview of its primary function, target audience, and key features:Primary Function
Lacework transforms security into a data problem, replacing traditional rule-based security approaches with a fully ML-based methodology. It baselines normal user, application, and network behaviors across cloud workloads and accounts, alerting users only to deviations from the norm. This approach simplifies breach investigations and compliance processes by providing contextualized workflows.Target Audience
Lacework’s primary target audience includes large enterprises, mid-sized businesses, and cloud-native organizations that rely heavily on public cloud services. These customers often operate in sectors with high security and compliance needs, such as technology, finance, healthcare, and government. The platform is particularly appealing to businesses with complex cloud environments that require advanced security solutions to safeguard their data and infrastructure.Key Features
Lacework AI Assist
This feature uses generative AI to provide personalized context for security alerts, helping analysts investigate and remediate threats more efficiently. It offers clear, actionable steps for mitigating risks and resolving security issues quickly, making it accessible to teams of varying technical expertise.ML-Based Security
Lacework employs machine learning to detect anomalies and conduct deep analysis of cloud and security events. This approach reduces the number of false positives and improves the efficacy of security alerts by focusing on deviations from normal behavior.Compliance and Risk Management
The platform helps organizations meet compliance demands by providing detailed breakdowns of risks associated with security alerts. This enables teams to prioritize and focus on the most critical issues, fostering a culture of proactive risk management.Integration and Observability
Lacework integrates with other platforms like New Relic, allowing users to triage security alerts against their observability data from a single interface. This integration enhances the ability to transition seamlessly from monitoring to security investigations.Data Privacy
The platform ensures that all data remains within the customer’s cloud environment, maintaining privacy and security. This is achieved through a “private by design” architecture for both data ingestion and model training. Overall, Lacework is a comprehensive cloud security solution that leverages AI and ML to enhance the efficiency and effectiveness of security operations, making it an invaluable tool for businesses operating in cloud environments. Lacework - User Interface and Experience
User Interface and Experience of Lacework
The user interface and experience of Lacework, particularly in the context of its AI-driven security tools, are designed to be user-friendly, efficient, and comprehensive.
Ease of Use
Lacework is praised for its ease of use, making it accessible to teams of all sizes. The platform offers a seamless plug-and-play functionality, which promotes operational efficiency and enhances security posture.
Users have highlighted that the setup and integration of Lacework are very easy, even for those who are not highly technical. This ease of implementation is a significant advantage, allowing teams to quickly get started with the platform.
User Interface
The interface of Lacework is described as comprehensive and intuitive. It provides a single, unified dashboard where users can view all their workloads, making it easier to manage cloud security across multiple cloud services and providers. This unified view includes code scanning, resource monitoring, and a hacker’s view, giving a three-sided perspective of the cloud environment.
Real-Time and Inline Workflows
Lacework Edge, a recent enhancement, introduces real-time and inline workflows that automate the verification and actioning of processes based on user behavior, risk, and business policies. This feature integrates directly within the access flow, enabling secure resource access and reducing the mean time to detect and respond to security issues.
AI-Powered Assistance
Lacework AI Assist is another feature that enhances the user experience by providing personalized context to security alerts. This AI-powered tool helps teams understand the reasons behind each alert, prioritize security events, and take actionable steps to mitigate risks. It acts as an intelligent ally, making security decisions simpler, faster, and more confident.
Customization and Reporting
Users can create custom reports and dashboards, which is highly appreciated for its flexibility. The platform also offers pre-built reports, making it easier for teams to access the information they need quickly. However, some users have noted that there is room for improvement in terms of customizing reports and integrating with a variety of applications.
Feedback and Continuous Improvement
Lacework is known for actively listening to user feedback and releasing new features and improvements frequently. This continuous development ensures that the platform stays ahead of security needs and addresses user concerns promptly.
Conclusion
In summary, Lacework’s user interface is designed to be intuitive, easy to use, and highly functional. It offers a comprehensive view of cloud security, real-time automation, and AI-powered assistance, making it a valuable tool for managing and enhancing cloud security posture.
Lacework - Key Features and Functionality
Overview
Lacework, a cloud security company, offers a comprehensive set of features and functionalities within its AI-driven security tools, which are designed to enhance cloud security operations. Here are the main features and how they work:
Security and Anomaly Detection
Anomaly Detection
Lacework uses machine learning, specifically its Polygraph technology, to monitor activity related to user behavior and compare it to benchmarked patterns. This helps in identifying and flagging anomalous activities, such as a machine sending data to an unknown IP or a user logging in from an unfamiliar IP.
Behavior Monitoring
This feature continuously monitors user and system behavior, comparing it to established patterns to detect potential threats and fraud indicators.
Compliance and Governance
Compliance Monitoring
Lacework monitors data quality and sends alerts based on violations or misuse, ensuring compliance with various standards. This feature is highly rated by users, with 90% satisfaction based on 202 reviews.
Governance
The platform allows users to create, edit, and manage user access privileges, ensuring proper governance and control over cloud resources.
Risk Analysis and Scoring
Risk Scoring
Lacework provides risk scoring for suspicious activities, vulnerabilities, and other threats. This helps in prioritizing risks and focusing on the most critical issues first.
Risk Analysis
The platform identifies potential network security risks, vulnerabilities, and compliance impacts, giving security teams a clear view of the risks they face.
Auditing and Logging
Security Auditing
Lacework analyzes data associated with security configurations and infrastructure to provide vulnerability insights and best practices. This feature helps in maintaining compliance and identifying security gaps.
Logging and Reporting
The platform provides adequate logging to troubleshoot and support auditing, along with generating reports outlining log activity and relevant metrics.
Configuration Management
Configuration Management
Lacework monitors configuration rule sets and policy enforcement measures, documenting changes to maintain compliance. This ensures that the cloud environment remains configured securely.
Multicloud Visibility
Multicloud Visibility
This feature allows users to track and control activity across multiple cloud services and providers, providing a comprehensive view of the cloud environment.
Workflow and Policy Management
Workflow Management
Lacework helps in creating or streamlining existing workflows to better handle IT support tickets and services. This improves the efficiency of security and IT operations.
Policy Enforcement
Administrators can set policies for security and data governance, ensuring consistent enforcement across the cloud environment.
Integration and API
Security Integration
The platform integrates additional security tools to automate security and incident response processes, enhancing overall security posture.
API / Integrations
Lacework provides an API that enables integration with other software applications, facilitating data exchange and integration with various tools.
Generative AI Assistant
Lacework AI Assist
This feature leverages generative AI to provide context for investigating and remediating alerts. It helps security analysts by answering questions such as why an alert should be looked at, what tools to use for further investigation, and how to fix misconfigurations. This AI assistant simplifies the understanding and actioning of compliance alerts and enhances the efficiency of security operations centers (SOCs).
Vulnerability Management
Vulnerability Scanning
Lacework analyzes cloud, network, and IT infrastructure to outline access points that can be easily compromised. It also provides vulnerability intelligence to help resolve incidents.
Threat Hunting
The platform facilitates proactive searches for emerging threats targeting servers, endpoints, and networks.
Conclusion
Overall, Lacework’s features are centered around automating cloud security, prioritizing risks, and providing continuous monitoring and analysis of cloud environments. The integration of AI, particularly through its Polygraph and generative AI technologies, enhances the platform’s ability to detect and respond to security threats efficiently.
Lacework - Performance and Accuracy
Evaluating the Performance and Accuracy of Lacework’s AI-Driven Security Tools
Evaluating the performance and accuracy of Lacework’s AI-driven security tools involves examining several key aspects of their technology.
Performance
Lacework’s security tools are engineered to be highly performant and efficient:
- Speed and Scalability: Lacework’s Static Application Security Testing (SAST) tool is capable of assessing millions of lines of code in minutes, making it suitable for large-scale enterprise applications and rapid development environments.
- Low Overhead: The Lacework agent is designed to operate with a low overhead, ensuring it can run alongside performance-sensitive cloud workloads without compromising operational efficiency. It efficiently processes massive amounts of data to highlight critical runtime behaviors that need urgent attention.
- Real-Time Capabilities: The integration of Active Vulnerability Detection (AVD) with the Code Aware Agent (CAA) allows for real-time identification of runtime package activity across various cloud workloads, enhancing the detection and management of vulnerabilities.
Accuracy
Lacework’s tools are built to provide accurate and reliable security insights:
- Detailed Vulnerability Insights: Lacework’s Software Composition Analysis (SCA) provides detailed insights into vulnerabilities, including where vulnerable functions are used in the code, their frequency of use, and identifying responsible parties for introducing and fixing vulnerabilities.
- Low False Positives and Negatives: The SAST tool is designed to minimize false positives and negatives through sophisticated analysis of call chains and control paths, ensuring more precise and reliable results.
- Contextual Analysis: The tool can recognize compensating controls implemented in the code, ensuring the security analysis aligns with the actual security posture of the application.
Limitations and Areas for Improvement
Despite the advanced features, there are some limitations and areas where Lacework could improve:
- Training Data: The effectiveness of AI models depends on the quality and quantity of training data. Lacework’s approach, which relies on customer environment data, can be limited if the data is not comprehensive or diverse enough. This was highlighted in the context of cloud threat detection, where the lack of a large, relevant dataset can hinder the model’s performance.
- Balance Between Automation and Customization: Lacework’s “no rules” approach to cloud threat detection has been criticized for not achieving the necessary balance between automation and customization, particularly for medium and large enterprises. Adding custom rules using the Lacework Query Language (LQL) has not fully addressed this issue.
- Independent Validation: Ensuring independent validation of AI models to expose potential issues like overfitting or knowledge gaps is crucial. This aspect is important for maintaining the trust and reliability of the security tools.
Additional Features and Enhancements
Lacework has also introduced features to enhance user engagement and efficiency:
- Generative AI Assistant: The Lacework AI Assist uses generative AI to provide customized context for investigating and remediating alerts, making security operations more efficient and helping teams build stronger relationships with DevOps organizations.
In summary, Lacework’s security tools demonstrate strong performance and accuracy, particularly in areas like real-time vulnerability detection and detailed code analysis. However, there are areas for improvement, especially regarding the balance between automation and customization, and the importance of comprehensive training data.
Lacework - Pricing and Plans
Pricing Structure
Lacework’s pricing structure for its cloud security and compliance platform is based on several factors, including the size of the organization and the specific features required. Here’s a breakdown of the key aspects of their pricing and plans:Pricing Tiers
Lacework operates on a tiered pricing model, primarily divided into two major tiers: Enterprise and Pro.Enterprise Tier
This tier is suited for larger organizations. The cost can range from $68,500 to $142,500 annually for companies with over 1,001 employees.Pro Tier
This tier is more suitable for smaller to mid-sized organizations. The annual cost ranges from $23,200 to $43,000 for companies with up to 200 employees, and $46,800 to $79,000 for mid-sized organizations.Features
Both tiers offer a comprehensive set of features, including:Cloud Security
Automated anomaly detection and consistent visibility across cloud environments.Threat Detection
Identifying attack activity from known and unknown threats.Vulnerability Management
Managing vulnerabilities in cloud environments.Cloud Security Posture and Compliance
Ensuring compliance with various standards like SOC 2, PCI DSS, HIPAA, and NIST.Infrastructure as Code Scanning
Detecting misconfigurations in infrastructure as code (IaC).Attack Path Analysis
Analyzing potential attack paths in cloud infrastructure.Cloud Infrastructure Entitlement Management
Managing entitlements and access in cloud environments.Behavior-based Network Traffic Analysis
Analyzing network traffic for anomalous behavior.Additional Considerations
Custom Requirements
Pricing can vary based on the number of cloud workloads, cloud environments (e.g., AWS, Azure, Google Cloud), and any custom requirements or specialized integrations.Negotiations
The final cost can be influenced by negotiations, such as committing to higher purchasing tiers or maintaining a consistent scope of needs at renewal.Free Trial
Lacework offers a free trial to allow potential customers to assess the value of the platform. This trial can be configured in a production environment to demonstrate its capabilities and success criteria. In summary, Lacework’s pricing is adaptable to different organizational sizes and needs, with a focus on providing comprehensive cloud security and compliance features. For specific pricing details tailored to your organization, it is recommended to reach out directly to Lacework. Lacework - Integration and Compatibility
Lacework Integration Overview
Lacework, a cloud-native application protection platform (CNAPP), integrates seamlessly with a variety of tools and platforms to enhance cloud security and compliance. Here’s a breakdown of its integration and compatibility:Infrastructure as Code (IaC) Integrations
Lacework supports several IaC tools and languages, including Terraform, CloudFormation, Helm Charts, Kustomize, and Dockerfiles. These integrations allow for the scanning of IaC templates to identify misconfigurations and compliance issues before deployment. For example, you can integrate Lacework with Terraform to audit your IaC files directly within your CI/CD pipelines.CI/CD Pipelines
Lacework integrates with various CI/CD pipelines such as Buildkite, GitHub Actions, GitLab Pipelines, Bitbucket Pipelines, and Jenkins. This allows you to embed security scans into your development workflows without disrupting developer velocity. For instance, you can use the Lacework plugin in Buildkite to run software composition analysis (SCA), IaC scans, container scans, and static application security testing (SAST).Git Providers
Lacework supports integrations with popular Git providers including GitHub, GitLab, and Bitbucket. This enables you to manage your code repositories securely and integrate security scans into your Git workflows.Cloud Platforms
Lacework is compatible with major cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and multi-cloud and hybrid environments. It provides end-to-end visibility into cloud environments, detecting threats, vulnerabilities, misconfigurations, and unusual activity.Security and Compliance Tools
Lacework can integrate with other security tools and platforms. For example, it can forward logs to Netsurion Open XDR using the Lacework API integration, enhancing alerts, reports, and dashboards with critical cloud security activities. Additionally, tools like AppSOC can aggregate vulnerabilities and risk scores from Lacework and pass them to Jira for workflow handling.AI-Driven Security
Lacework’s AI Assist feature uses AI and machine learning to provide personalized security insights, helping teams understand and action security alerts more effectively. This AI-driven approach ensures that security decisions are informed and actionable, without compromising data privacy.Conclusion
In summary, Lacework’s extensive integration capabilities make it a versatile tool for securing cloud environments across various platforms and tools, ensuring comprehensive security and compliance without disrupting development workflows. Lacework - Customer Support and Resources
Customer Support Options
Lacework offers a comprehensive array of customer support options and additional resources to ensure users can effectively utilize their AI-driven cloud security tools.Support Portal
To access support, users must have an account on the Lacework Support portal. Once logged in, you can submit new requests, view existing cases, and track the status of your tickets. The portal is user-friendly, allowing you to select “Submit a request” from the top bar, fill in the details, and set a priority for the case.24/7 Support
Lacework provides round-the-clock support. You can visit the support portal at any time to submit requests or get updates on ongoing cases. This ensures that any issues you encounter can be addressed promptly.Community and Networking
The Lacework Community is a valuable resource where you can connect with peers, share ideas, and get support from other users. This community aspect helps in knowledge sharing and networking, which can be particularly helpful for resolving common issues or learning best practices.Live Security Workshops
Lacework hosts live security workshops and interactive sessions led by their team of experts. These sessions provide answers to important questions, platform tips, and the opportunity to engage with community members. This is a great way to get hands-on knowledge and address specific queries.Lacework Academy
The Lacework Academy offers foundational, self-serve educational training modules as well as live Office Hours. These resources guide you through the setup and usage of the Polygraph® platform, ensuring you get the most out of the tools.Documentation
Extensive documentation is available, including user onboarding guides, API documentation, release notes, and more. This comprehensive documentation helps users to quickly find the information they need to use the platform effectively.Demos & Guided Tours
Lacework provides on-demand demos and guided product tours. These resources allow you to experience the latest features and functionalities of the platform, helping you to get familiar with it quickly.Platform Status
For any technical issues, you can check the Lacework platform status site for information on outages or planned maintenance. This ensures you are always informed about the current state of the platform.Delivery Partners
Lacework also connects users with accredited delivery partners who can help mature your cloud security posture through an open and collaborative approach. These partners can provide additional support and expertise to help you implement the platform effectively.Conclusion
By offering these diverse support options and resources, Lacework ensures that users have the tools and assistance they need to manage their cloud security efficiently. Lacework - Pros and Cons
Advantages of Lacework
Lacework offers several significant advantages in the security tools and AI-driven product category:Comprehensive Security Insights
Lacework provides both agentless and agent-based introspection into cloud, on-prem, multi-cloud, containerized, and hybrid environments. This allows for deep visibility and continuous monitoring, helping organizations detect and fix security vulnerabilities, misconfigurations, and compliance issues in real time.Advanced Threat Detection
The platform is praised for its threat intelligence and behavioral anomaly detection capabilities. It identifies and responds to potential threats before they can cause significant damage, offering an added layer of defense through its agent-based approach, which outperforms solutions that rely solely on cloud logs.AI-Driven Capabilities
Lacework has introduced “AI Assist,” which uses artificial intelligence and machine learning to contextualize and prioritize security events, mitigate risks, and resolve security issues faster. This feature provides personalized recommendations based on an individual’s role, permissions, and perspective, making incident response and vulnerability management more efficient.Automation and Efficiency
The platform automates various security tasks, such as vulnerability management for hosts and containers, AWS cloud compliance, and threat hunting. It also offers automatic network diagrams to analyze network connections and compare them to baselines, enhancing overall security efficiency.Customer Support and Training
Lacework is known for its excellent customer support and a comprehensive training catalog for infrastructure security teams and Security Operations Centers (SOC). This white-glove approach helps organizations get the most value from the product.Data Privacy
Lacework ensures data privacy by keeping all data within the cloud environment, never allowing it to leave. This is a critical feature for organizations concerned about data security.Disadvantages of Lacework
Despite its many advantages, there are some notable disadvantages and concerns:Post-Acquisition Issues
Some users have reported significant dissatisfaction with Lacework since its acquisition by Fortinet, citing missing basic functionality and a lack of investment in the platform. These users strongly advise against considering Lacework/Fortinet due to these issues.User Experience Variability
Some reviews indicate that the platform can be challenging to use, with one user describing it as “like trying to solve a puzzle with 20% of the pieces missing.” Another user mentioned that Lacework causes more problems than it solves.Specific Feature Limitations
Users have pointed out specific limitations, such as the need to write queries instead of using human-readable questions and issues with column truncation. There is also a desire for better control over the permissions of the agent on endpoints.Mixed Reviews on Effectiveness
While many users praise Lacework’s capabilities, others have had negative experiences, suggesting that the platform may not be universally effective or user-friendly. In summary, Lacework offers powerful AI-driven security features and comprehensive insights, but it also faces challenges related to its post-acquisition state and some user experience issues. Lacework - Comparison with Competitors
When comparing Lacework with its competitors in the AI-driven security tools category
Several key aspects and unique features come to the forefront.
Unique Features of Lacework
- Lacework AI Assist: This is a generative AI assistant that provides personalized context to help teams investigate and remediate security alerts. It simplifies the process of managing security issues by offering clear, actionable steps and explanations for security alerts, making it accessible to both technical and non-technical team members.
- Privacy and Data Security: Lacework emphasizes a “private by design” architecture, ensuring that data never leaves the customer’s cloud environment, which is a significant concern for many organizations.
- Deep ML/AI Heritage: With nearly 200 AI patents and pending applications, Lacework has a strong foundation in using AI and ML to detect anomalies and analyze cloud and security events since 2015.
Competitors and Alternatives
Darktrace
- Known for its autonomous response technology that interrupts cyber-attacks in real-time. Darktrace is particularly effective at neutralizing novel threats but has a higher complexity level compared to Lacework’s more user-friendly AI Assist.
Vectra AI
- Reveals and prioritizes potential attacks using network metadata. Vectra AI is strong in hybrid attack detection, investigation, and response but may require more technical expertise to fully utilize its capabilities.
SentinelOne
- Offers fully autonomous cybersecurity powered by AI, excelling in advanced threat hunting and incident response. SentinelOne is highly regarded but has a higher starting price point per endpoint compared to some other solutions.
Balbix
- Provides a comprehensive AI-based security solution that quantifies cyber risk and predicts breach likelihood. Balbix consolidates data from various security and IT tools to build a unified cyber risk posture view, which is particularly useful for CISOs to demonstrate program effectiveness to leadership.
Ermetic and PingSafe
- These are direct competitors to Lacework in the cloud security space. Ermetic focuses on managing user and service permissions across cloud environments to prevent breaches, while PingSafe offers a unified cloud security platform for real-time protection. Both provide different specialized features but do not have the same level of AI-driven assistive technology as Lacework.
Key Differences
- User Experience: Lacework’s AI Assist stands out for its ability to meet analysts at their level of expertise, providing personalized guidance that simplifies the investigation and remediation process. This makes it more accessible to a broader range of users compared to some of the more technically demanding solutions like Darktrace or Vectra AI.
- Data Privacy: Lacework’s commitment to keeping data within the customer’s cloud environment is a unique selling point, especially for organizations with stringent data privacy requirements.
- Cost and Complexity: While solutions like SentinelOne and Darktrace offer advanced threat hunting capabilities, they often come with higher complexity and cost. Lacework’s approach balances advanced AI capabilities with a more user-friendly interface and potentially lower operational costs.
In summary, Lacework’s unique blend of AI-driven assistive technology, strong focus on data privacy, and user-friendly interface sets it apart in the market. However, depending on specific organizational needs, alternatives like Darktrace, Vectra AI, or Balbix might offer more specialized features that could be more suitable for certain use cases.
Lacework - Frequently Asked Questions
Frequently Asked Questions about Lacework
What is Lacework and what does it do?
Lacework is a cloud-native security platform that helps organizations secure their cloud environments, manage vulnerabilities, and improve incident response. It integrates AI and machine learning to provide end-to-end visibility and context, enabling teams to prioritize and fix security risks efficiently.How does Lacework handle code security?
Lacework offers advanced code security features, including Static Application Security Testing (SAST). It analyzes code to identify vulnerabilities and defects, even those that are hard to find, such as SQL injection and cross-site scripting. The platform can assess millions of lines of code quickly and accurately, minimizing false positives and negatives. It also auto-generates pull requests to help developers update vulnerable packages.What is Lacework AI Assist and its benefits?
Lacework AI Assist is an AI-powered feature that simplifies security and investigation processes. It provides personalized recommendations based on the user’s role, permissions, and perspective, helping teams understand and action security alerts more effectively. AI Assist offers contextual explanations of alerts, prioritizes security events, and provides clear steps for mitigation, making it easier for both technical and non-technical teams to manage security issues.How does Lacework help with incident response and vulnerability management?
Lacework enhances incident response and vulnerability management by automating many processes. It connects code with cloud telemetry to measure vulnerabilities based on their relative risk to the organization’s environment. This helps in prioritizing and fixing risks at the source. Additionally, AI Assist streamlines the triaging, investigating, and responding to alerts, making the process faster and more efficient.What are the key features of Lacework’s SAST?
Lacework’s SAST is highly configurable and built by security engineers for security engineers. It provides deep analysis of code, tracking the path of untrusted data across call chains and control paths to identify potential risks like zero-days. The platform minimizes inaccurate findings and allows easy customization of rules to meet specific codebase needs.How does Lacework ensure data privacy?
Lacework is committed to data privacy, ensuring that all data remains within the customer’s cloud environment. The platform operates with a “private by design” architecture, both for data ingestion and for training AI models. This ensures that sensitive data never leaves the customer’s cloud, maintaining confidentiality and security.What is the pricing structure for Lacework?
Lacework has a tiered pricing model with two main tiers: Enterprise and Pro. The cost per user decreases with higher tiers. For example, a company with 200 employees might pay between $23,200 to $43,000 annually, while a company with over 1,000 employees could pay between $68,500 to $142,500. Prices can vary based on negotiations and the specific needs of the organization.How does Lacework support different roles within an organization?
Lacework provides personalized experiences and recommendations based on individual roles, permissions, and perspectives. This means that both security analysts and non-technical team members can use the platform effectively. AI Assist delivers context-rich information and actionable steps that are relevant to each user’s role, making security management more accessible and efficient.What kind of support does Lacework offer for cloud-native applications?
Lacework’s Cloud Native Application Protection Platform (CNAPP) is designed to secure cloud-native applications. It offers comprehensive cloud security, including vulnerability management, cloud security posture management (CSPM), and cloud activity monitoring. The platform assesses cloud accounts against different standards and manages vulnerabilities across hosts, containers, and inline code scanning.Can Lacework be customized to meet specific security needs?
Yes, Lacework is highly configurable. The SAST engine allows security engineers to easily customize and add rules to meet the specific needs of their unique codebases. Additionally, AI Assist can be trained on data from previous activities and contextual information derived from the environment, making it adaptable to various organizational requirements.How does Lacework impact the efficiency of security teams?
Lacework significantly improves the efficiency of security teams by automating many security processes, providing personalized recommendations, and offering clear, actionable steps for mitigating risks. This helps in reducing the time and effort required for triaging, investigating, and responding to security alerts, thereby enhancing operational efficiency and incident response outcomes.