What is AI-SPM? [AI Security Posture Management]
AI-SPM (AI security posture management) is a new and critical component of enterprise cybersecurity that secures AI models, pipelines, data, and services.
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.
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.
クラウド インフラストラクチャ権限管理 (CIEM) は、組織がクラウド リソースへのアクセス権を管理および制御するのに役立つセキュリティ プロセスです。
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.
データ漏洩とは、組織データが第三者に対して野放しに持ち出されることです。 これは、データベースの設定ミス、ネットワークサーバーの保護が不十分な、フィッシング攻撃、さらには不注意なデータ処理など、さまざまな手段で発生します。
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.
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.
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).
プロンプトインジェクション攻撃は、攻撃者が自然言語処理(NLP)システムの入力プロンプトを操作してシステムの出力に影響を与えるAIセキュリティの脅威です。
13 essential best practices for every organization + the common tools and services that can support them
クラウド セキュリティ ポスチャ管理 (CSPM) は、クラウド環境とサービス (パブリック読み取りアクセスのある S3 バケットなど) のリスクを継続的に検出して修復するプロセスを表します。CSPM ツールは、業界のベスト プラクティス、規制要件、セキュリティ ポリシーに照らしてクラウド構成を自動的に評価し、クラウド環境が安全で適切に管理されていることを確認します。
MLSecOps の 5 つの基本領域をレビューし、組織にとっての MLSecOps の重要性の高まりを探り、6 つの興味深いオープンソース ツールを紹介することで、MLSecOps ツールの状況を深く掘り下げます
データセキュリティポスチャ管理(DSPM)は、組織のデータセキュリティポリシーと手順を継続的に監視して、脆弱性と潜在的なリスクを検出するように設計されたソリューションです。
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.
クラウド コンプライアンスは、クラウドベースの資産が組織に関連するデータ保護規制、標準、およびフレームワークの要件を確実に満たすために必要な一連の手順、制御、および組織的対策です。
Understanding how to implement zero-trust architecture is crucial for protecting against the complexities of modern cyber threats.
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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.
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