SploitScan

SploitScan 📜 Descrizione SploitScan è uno strumento potente e facile da usare progettato per semplificare il processo di identificazione degli exploit per vulnerabilità note e la relativa probabilità di sfruttamento. Potenzia i professionisti della cybersecurity con la capacità di identificare e...

Shadow AI, Rogue Agents, and Data Leaks: A Special Report on Navigating AI Risk

Discover top enterprise AI risks — from shadow AI to rogue agents and data leaks — plus practical CISO strategies in the new Akamai SOTI special report...

Securing AI Applications From Inception to Deployment

Extending the Wiz AI APP into the code layer to detect AI-specific risks at inception, validate exploitability at runtime, and orchestrate remediation with agents that understand your codebase...

Security Considerations for Multi-Agent Systems

Multi-agent artificial intelligence systems or MAS are systems of autonomous agents that exercise delegated tool authority, share persistent memory, and coordinate via inter-agent communication. MAS introduces qualitatively distinct security vulnerabilities from those documented for singular AI...

EC-Council Expands AI Certification Portfolio to Strengthen U.S. AI Workforce Readiness and Security

With $5.5 trillion in global AI risk exposure and 700,000 U.S. workers needing reskilling, four new AI certifications and Certified CISO v4 help close the gap between AI adoption and workforce readiness. EC-Council, creator of the world-renowned Certified Ethical Hacker CEH credential and a globa...

From Shadow APIs to Shadow AI: How the API Threat Model Is Expanding Faster Than Most Defenses

The shadow technology problem is getting worse. Over the past few years, organizations have scaled microservices, cloud-native apps, and partner integrations faster than corporate governance models could keep up, resulting in undocumented or shadow APIs. We’re now seeing this pattern all over aga...

Microsoft SDL: Evolving security practices for an AI-powered world

As AI reshapes the world, organizations encounter unprecedented risks, and security leaders take on new responsibilities. Microsoft’s Secure Development Lifecycle SDL is expanding to address AI-specific security concerns in addition to the traditional software security areas that it has...

NVIDIAScape - Critical NVIDIA AI Vulnerability: A Three-Line Container Escape in NVIDIA Container Toolkit (CVE-2025-23266)

New critical vulnerability with 9.0 CVSS presents systemic risk to the AI ecosystem, carries widespread implications for AI infrastructure...

How Qualys Policy Compliance Helps You Adopt NIST AI RMF 1.0

Artificial Intelligence AI technologies are reshaping industries at an unprecedented pace. But while these technologies present incredible opportunities for innovation, they also pose unique risks. AI systems are no longer just futuristic concepts; they are actively influencing business decisions...

Navigating the AI security landscape: The federal push for responsible AI adoption

This blog post discusses the U.S. government's commitment to responsible AI through the Executive Order and proposed legislation, outlines key provisions for AI risk management, highlights efforts to strengthen federal AI governance, and emphasizes Coalfire's role in promoting responsible AI...

New Research: 6% of Employees Paste Sensitive Data into GenAI tools as ChatGPT

The revolutionary technology of GenAI tools, such as ChatGPT, has brought significant risks to organizations' sensitive data. But what do we really know about this risk? A new research by Browser Security company LayerX sheds light on the scope and nature of these risks. The report titled...

On the Catastrophic Risk of AI

Earlier this week, I signed on to a short group statement, coordinated by the Center for AI Safety: Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war. The press coverage has been extensive, and surprising t...

Attack AI systems in Machine Learning Evasion Competition

Today, we are launching MLSEC.IO, an educational Machine Learning Security Evasion Competition MLSEC for the AI and security communities to exercise their muscle to attack critical AI systems in a realistic setting. Hosted and sponsored by Microsoft, alongside NVIDIA, CUJO AI, VM-Ray, and MRG...

AI security risk assessment using Counterfit

Today, we are releasing Counterfit, an automation tool for security testing AI systems as an open-source project. Counterfit helps organizations conduct AI security risk assessments to ensure that the algorithms used in their businesses are robust, reliable, and trustworthy. AI systems are...

AI security risk assessment using Counterfit

Today, we are releasing Counterfit, an automation tool for security testing AI systems as an open-source project. Counterfit helps organizations conduct AI security risk assessments to ensure that the algorithms used in their businesses are robust, reliable, and trustworthy. AI systems are...