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Wiz Blog | RSS feed

Meet Wiz for M365: Bringing SaaS into the Security Graph Bringing Security Visibility to Vercel with Wiz Axios NPM Distribution Compromised in Supply Chain Attack Tracking TeamPCP: Investigating Post-Compromise Attacks Seen in the Wild The Wiz Blue Agent, now Generally Available Beyond the Badge: What Achieving Microsoft’s Certified Software Designation Means for Your Cloud Security Introducing the Green Agent: AI-Powered Remediation for the Cloud Three’s a Crowd: TeamPCP trojanizes LiteLLM in Continuation of Campaign KICS GitHub Action Compromised: TeamPCP Strikes Again in Supply Chain Attack Introducing the Wiz Red Agent- AI-Powered Attacker Introducing Wiz AI Application Protection Platform (AI-APP) Introducing Wiz Agents & Workflows: Security at the Speed of AI AI Runtime Threat Detection: From Input to Real-World Impact Trivy Compromised: Everything You Need to Know about the Latest Supply Chain Attack It’s Official: Wiz Joins Google Understanding and Reducing AI Risk in Modern Applications Introducing Wiz Tenant Manager: Multi-Tenant Management for Federated Organizations The Agile FedRAMP Playbook, Part 4: Reactive Risk Management through Enriched Incident Response Wiz Achieves CPSTIC Certification in Spain Seeing AI Clearly: Building Visibility Across Modern AI Applications The Agile FedRAMP Playbook, Part 3: Preventative Risk Management by building Secure by Design Wiz Leads the 2026 Latio Application Security Report with awards in 4 categories Building an Agentic Cloud Security Ecosystem: A Reference Architecture with Wiz MCP and Infosys Cyber Next The Agile FedRAMP Playbook, Part 2: Proactive Risk Management with Continuous Monitoring Cloud-native Security for your Windows environment: Announcing the Wiz Runtime Sensor for Windows Would You Click ‘Accept’? Automatically detecting malicious Azure OAuth applications using LLMs Wiz Named a Leader in The Forrester Wave™: Cloud Native Application Protection Solutions, Q1 2026 From Detection to Remediation: It’s Time to Rethink AppSec Around Exploitability and Root Cause Fixes The Agile FedRAMP Playbook, Part 1: Why Risk is Your Best Starting Point Introducing AI Cyber Model Arena: A Real-World Benchmark for AI Agents in Cybersecurity
Tricks and Treats: Top 3 GenAI Security Best Practices fo...
Wiz Team · 2024-10-31 · via Wiz Blog | RSS feed

As we approach the spookiest season of the year, it’s essential to ensure that your organization's embrace of Generative AI (GenAI) doesn’t open the door to cyber threats that lurk in the shadows. The rise of AI technologies has brought exciting advancements, but with these innovations come unique security risks that need to be managed vigilantly. 👻

In this blog post, we’ll recap the top security risks associated with GenAI and provide you with three essential best practices to fortify your organization’s defenses—so you can focus on the treats rather than the tricks. 

What Security Risks Come with GenAI? 

GenAI is capable of conjuring new content from a plethora of unstructured inputs like text, images, and audio. However, with this creativity comes a grave responsibility to manage the following risks: 

  1. Data Poisoning: Malicious actors may attempt to alter training data, leading to corrupted AI model outputs that could create chaos. 

  2. Model Theft: The unauthorized access and duplication of proprietary AI models can result in significant losses, akin to losing your most cherished Halloween candy. 

  3. Adversarial Attacks: Cybercriminals can craft deceptive inputs to mislead AI models, steering them toward generating harmful or misleading content. 👻

Top 3 GenAI Security Best Practices to Defend Against Evil Spirits 

To help you ward off these cybersecurity specters, consider the following best practices: 

Eliminate Shadow AI

To defend your organization from the lurking dangers of unauthorized AI use, it's crucial to gain visibility into all GenAI activities. 👻 Create an AI Bill of Materials (AI-BOM) to keep track of all AI-related assets, ensuring that only approved tools are used. Just like keeping a close eye on your Halloween candy stash, knowing what you have is key to protecting it. 
 

Protect Your Data

Safeguarding sensitive information is paramount. Make sure no sensitive data is exposed in GenAI applications. Encrypt data in transit and at rest, and implement data loss prevention policies. By protecting your “candy” (sensitive data), you can prevent breaches and ensure regulatory compliance, keeping your organization safe from unexpected tricks. 
 

Set Up Incident Response

When ghouls do strike, being prepared is essential. 👻 Establish a swift incident response plan to minimize damage. Incorporate automation and manual controls that can help quickly isolate threats and prevent further breaches. A well-defined response can be your “silver bullet” against unexpected security incidents. 

Conclusion: A Halloween Treat for Your AI Security Posture 

As the Halloween season approaches, remember that a proactive and agile approach to GenAI security is crucial. By following these best practices, you can ensure that your AI initiatives remain a treat rather than a trick. 👻

Don’t forget to check out our GenAI Security Best Practices Cheat Sheet and explore our AI Security landing page for more insights and resources.