Shaked is a Technical Product Marketing Manager (PMM) focused on Wiz's core capabilities, including CSPM, CIEM, and Vulnerability Management which help organizations establish a secure foundation in the cloud. Previously, she's been part of Public Sector Solutions Architecture team at AWS as well as a Technical Program Manager on the AWS Config team. Outside work, Shaked loves playing volleyball, surfing and anything outdoors.
When selecting a cloud compliance tool, look for features like comprehensive framework coverage, multi- and hybrid cloud visibility, context-aware risk prioritization, developer workflow integration, and automated evidence collection and reporting.
Vulnerability prioritization is the practice of assessing and ranking identified security vulnerabilities based on critical factors such as severity, potential impact, exploitability, and business context. This ranking helps security experts and executives avoid alert fatigue to focus remediation efforts on the most critical vulnerabilities.
In this article we'll cover a tried-and-true governance strategy, a practical five-layer operating model, and guidance on how to operationalize it using the right people, processes, and platforms.
In this article, we’ll go through six of today’s leading cloud security platforms so you can see which one offers the best fit for your organization's unique security needs.
Learn the main advantages and limitations of 7 popular AI security tools. Plus, see the top criteria for choosing a tool to secure your AI and ML applications.
An AI bill of materials (AI-BOM) is a complete inventory of all the assets in your organization’s AI ecosystem. It documents datasets, models, software, hardware, and dependencies across the entire lifecycle of AI systems—from initial development to deployment and monitoring.
Artificial intelligence (AI) compliance describes the adherence to legal, ethical, and operational standards in AI system design and deployment.
Cloud entitlements are access and administrative privileges that define what resources users can access and how they can interact with those resources.
Prompt injection attacks are an AI security threat where an attacker manipulates the input prompt in natural language processing (NLP) systems to influence the system’s output.
Data leakage is the unchecked exfiltration of organizational data to a third party. It occurs through various means such as misconfigured databases, poorly protected network servers, phishing attacks, or even careless data handling.
In this guide, we’ll break down why AI governance has become so crucial for organizations, highlight the key principles and regulations shaping this space, and provide actionable steps for building your own governance framework.
ChatGPT security is the process of protecting an organization from the compliance, brand image, customer experience, and general safety risks that ChatGPT introduces into applications.
Cyber asset attack surface management (CAASM) is a security practice that gives teams unified visibility and control over all enterprise assets—cloud, SaaS, on-prem, and beyond. It helps eliminate blind spots and reduce risk by correlating asset data from across your environment and tools. CAASM enables teams to query, prioritize, and act from a single source of truth.
This cloud compliance guide covers regulations and best practices you should follow, along with tips for how to choose the right compliance tool for your needs.
Learn the foundational elements of cloud security posture management (CSPM). Find out how to improve cloud security and how to unify your cybersecurity.
Learn data security posture management, how it works, and how you can use it to protect your data, mitigate risks, and enforce compliance for the cloud.
There are many sneaky AI security risks that could impact your organization. Learn practical steps to protect your systems and data while still leveraging AI's benefits.
Understanding how to implement zero trust architecture is crucial for protecting against the complexities of modern cyber threats.
AWS offers a complete, scalable suite for AI that covers everything from data prep to model deployment, making it easier for developers to innovate quickly.
13 essential best practices for every organization + the common tools and services that can support them
AWS security groups (SGs) are virtual firewalls for your EC2 instances that control both inbound and outbound traffic.
AI-SPM (AI security posture management) is a new and critical component of enterprise cybersecurity that secures AI models, pipelines, data, and services.
Cloud data security is the practice of safeguarding sensitive data, intellectual property, and secrets from unauthorized access, tampering, and data breaches. It involves implementing security policies, applying controls, and adopting technologies to secure all data in cloud environments.
A data security policy is a document outlining an organization's guidelines, rules, and standards for managing and protecting sensitive data assets.
Data risk management involves detecting, assessing, and remediating critical risks associated with data. We're talking about risks like exposure, misconfigurations, leakage, and a general lack of visibility.
Data detection and response (DDR) is a cybersecurity solution that uses real-time data monitoring, analysis, and automated response to protect sensitive data from sophisticated attacks that traditional security measures might miss, such as insider threats, advanced persistent threats (APTs), and supply chain attacks.
In this article, we’ll take a closer look at everything you need to know about data flow mapping: its huge benefits, how to create one, and best practices, and we’ll also provide sample templates using real-life examples.
Cloud infrastructure entitlement management (CIEM) is a security process that helps organizations manage and control access rights to cloud resources.
Cross-site request forgery (CSRF), also known as XSRF or session riding, is an attack approach where threat actors trick trusted users of an application into performing unintended actions.
Data sprawl refers to the dramatic proliferation of enterprise data across IT environments, which can lead to management challenges and security risks.
AI data security is a specialized practice at the intersection of data protection and AI security that’s aimed at safeguarding data used in AI and machine learning (ML) systems.
Data security compliance is a critical aspect of data governance that involves adhering to the security-centric rules and regulations set forth by supervisory and regulatory bodies, including federal agencies.
AI risk management is a set of tools and practices for assessing and securing artificial intelligence environments. Because of the non-deterministic, fast-evolving, and deep-tech nature of AI, effective AI risk management and SecOps requires more than just reactive measures.
LLM jacking is an attack technique that cybercriminals use to manipulate and exploit an enterprise’s cloud-based LLMs (large language models).
To manage risks associated with AI, organizations need a strategic and well-coordinated security approach that extends traditional cybersecurity measures to the unique needs of AI.
Configuration drift is when operating environments deviate from a baseline or standard configuration over time.
Improve security posture and remediate risks faster using natural language workflows.
Wiz is now included in the NVIDIA Enterprise AI Factory validated design, integrating with NVIDIA AI to help developers securely build and deploy enterprise AI agents at scale.
Learn how to secure your cloud identities and operationalize Zero Standing Privileges with the Wiz and CyberArk integration
Wiz enhances Slack integration to streamline risk investigation and response and bring security knowledge directly to Slack
Discover key strategies to strengthen your AWS security posture, from applying protection at all layers to understanding shared responsibility in the cloud.
What are the most important KPI’s for a successful DSPM implementation? Let's explore what KPI’s to monitor, why they matter, and how you can take advantage of them for improved security at your org.
Learn about how Wiz helps organizations operationalize vulnerability remediation with true code-to-cloud visibility
See what’s new with Wiz at Re:Invent 2024 and learn about how Wiz and AWS continue to strengthen their strategic partnership, keeping AWS customers’ environments secure
Wiz Research taps Llama 3 model NVIDIA NIM microservices for sensitive data classification
New plugin enables AWS and Wiz customers to leverage generative AI to improve their cloud security posture
Learn how Wiz helps you govern who can access what data in your cloud and protect your critical data
The new AI-powered remediation 2.0 combines the power of GenAI with the Wiz Research Team’s expertise in identifying cloud-native attack paths.
Prioritizing vulnerabilities in the cloud can be overwhelming - Learn how teams adopt a workflow structured for speed and accuracy.
Wiz extends support to Okta with identity modeling on the Wiz Security Graph, visibility, risk assessment, and real-time threat detection for your Okta environment
Gain unified visibility into Snowflake security posture and threats with the same workflows as the rest of your cloud.
Wiz is now the fastest company to be listed FedRAMP Moderate Authorized on the FedRAMP Marketplace, making it easier for government agencies to effectively protect their cloud environment with Wiz’s CNAPP
Wiz is expanding our existing detection capabilities to include pattern-based malware detection using YARA rules written by the Wiz Research team
We are excited to be ‘in-process’ for DoD IL4, continuing our commitment to helping public sector secure everything they build and run in the cloud
See what’s new with Wiz at Re:Inforce 2024 with this year’s recap
Great news for State and Local Governments! Wiz for Gov is now StateRAMP authorized
Detect malicious hosted AI models with Wiz AI-SPM and gain confidence in the models your data scientists use
Wiz’s vulnerability scanning is now certified by Red Hat, providing customers with refined assessment of vulnerabilities for Red Hat Products
Prevent misconfigurations in your environment from being exploited with Wiz’s real-time CSPM.
Wiz introduces AI-remediation steps powered by Amazon Bedrock to empower customers to remediate risks quickly.
Organizations can now improve their mean time to remediate (MTTR) with AI-generated remediation steps.
Oracle Cloud Infrastructure customers can now effectively protect their sensitive data with Wiz’s Data Security Posture Management (DSPM) capabilities.
Wiz customers can now secure everything they build and run on Akamai Linode Cloud, providing organizations the broadest cloud coverage out of any CNAPP
Wiz customers can now detect vulnerabilities in MacOS workloads and their software components with agentless scanning, and assess their secure configurations against built-in CIS Benchmarks for Apple MacOS
Secure Microsoft Azure AI Services, including Azure OpenAI, with Wiz AI-SPM providing full visibility into AI pipelines and risks on the Wiz Security Graph
Safeguard Amazon Bedrock with Wiz AI-SPM capabilities to gain visibility into GenAI pipelines and detect and proactively remove risks
Gain visibility into non-human identities in your environment and protect against risky service accounts with the new Non-Human Identities Dashboard.
Wiz becomes the first CNAPP to provide AI security for OpenAI, allowing data scientists and developers to detect and mitigate risk in their OpenAI organization with a new OpenAI SaaS connector.
Ensure you are staying secure as your organization adopts AI by following these four guiding questions
AI-powered security helps organizations improve efficiency and scale their security team, follow this framework to effectively leverage AI in your security org
See what’s new with Wiz at Re:Invent 2023 and learn about how Wiz and AWS continue to strengthen their strategic partnership, keeping AWS customers’ environments secure.
Google Cloud customers can now detect excessive access in their GCP environment based on Google audit logs to effectively right-size permissions.
Wiz extends its platform to secure AI with AI-SPM capabilities, helping organizations accelerate their AI innovation in the cloud.
Gain complete visibility into your environment and its risks to enable a Zero Trust strategy in the cloud
Protect your Google Cloud identities with Wiz's new Google Workspace identity modeling and identify suspicious activity in Google Workspace with new threat detection rules
Learn how government agencies can meet the GAO’s recommended cloud security best practices by establishing continuous risk and compliance monitoring in the cloud
Prioritize critical vulnerabilities based on business impact with Wiz’s agentless Vulnerability Management solution.
See what is new with Wiz at Re:Inforce and learn about how Wiz and AWS continue to strengthen a strategic relationship to secure customers’ AWS environments.
Reduce noise of traditional CSPM tools with context-based deep risk assessment, enabling you to prioritize the misconfigurations that put your environment at critical risk.
Some application misconfigurations are equivalent to remote code execution or information disclosure vulnerabilities, but often go unnoticed. Wiz’s agentless capabilities detect these and correlate them to attack surface and business impact risks, highlighting the most critical misconfigurations.
Stay compliant with Wiz’s 100+ compliance frameworks, generate quick compliance reports, and remediate issues faster with remediation guidance and auto-remediation.
