Protect AI | Blog

Automated Red Teaming Scans of Dataiku Agents Using Protect AI Recon

Ned Martorell — Fri, 15 Aug 2025 16:54:09 GMT

We are thrilled to announce the integration of Protect AI’s Recon with Dataiku Agents, a groundbreaking step in securing enterprise LLM application deployments. With this integration, enterprises can harness Recon’s advanced red teaming capabilities to proactively identify vulnerabilities, enhance LLM application integrity and ensure compliance with the latest AI governance standards.

Strengthening AI Security with Protect AI Recon & Dataiku Guard Services

Vedant Ari Jain — Fri, 08 Aug 2025 17:29:28 GMT

As organizations rapidly adopt generative AI, they face a new frontier of security challenges that traditional testing approaches simply cannot address. AI systems are non-deterministic, have unique attack surfaces, and require specialized security testing methodologies.

Llama 4 Series Vulnerability Assessment: Scout vs. Maverick

Mukunth Madavan — Wed, 16 Jul 2025 16:54:17 GMT

Model Brief

Meta has launched the Llama 4 family, featuring models built on a mixture-of-experts (MoE) architecture:

AI Risk Report: Fast-Growing Threats in AI Runtime

Diana Kelley — Mon, 23 Jun 2025 20:11:49 GMT

The Cost of Being Wordy: Detecting Resource-Draining Prompts

Duygu Altinok — Tue, 17 Jun 2025 19:03:34 GMT

The breakthrough of large language models (LLMs) has captivated the natural language processing (NLP) world, with their influence extending far beyond the research communities in which they originated. [1, 2] Industries like business, marketing, and content creation have embraced LLMs for editing, writing, and creative tasks. As a result, companies such as OpenAI and Google have deployed interfaces for these powerful models, making them widely accessible.

Security Spotlight: AppSec to AI, a Security Engineer's Journey

Tyler Ferris — Thu, 12 Jun 2025 17:47:46 GMT

As an application security engineer with over a decade in the trenches of web applications, APIs, and enterprise systems, I never expected my career path would lead me to the frontier of artificial intelligence security. Yet here I am, finding myself both fascinated and challenged by the unique security considerations of AI systems.

Balancing Velocity and Vulnerability with llamafile

Mehrin Kiaini & Faisal Khan — Wed, 04 Jun 2025 18:11:25 GMT

The AI ecosystem is witnessing a significant shift towards open source technologies, with llamafile format now powering 32% of self-hosted AI development according to Wiz’s 2025 State of AI in the Cloud report. This portable executable format packages complete LLMs into single files, driving rapid adoption while introducing important security considerations.

Security Spotlight: Securing Cloud & AI Products with Guardrails

Junaid Khan — Wed, 28 May 2025 19:37:57 GMT

In today’s landscape where Cloud and AI are becoming the very fabric of digital innovation, security has transcended from its traditional role as an add-on or checklist item into a fundamental component integrated into every phase. Security acts as the specification, a critical gate within the CI/CD pipeline, and a vital runtime safeguard. It’s an intrinsic part of every system, ranging from a public REST API serving millions to the specialized GPU cluster training tomorrow's autonomous agents.

Assessing the Security of 4 Popular AI Reasoning Models

Sailesh Mishra & Mukunth Madavan — Wed, 21 May 2025 20:10:30 GMT

In the race to create more capable AI systems, reasoning models stand out as frontrunners.

Specialized Models Beat Single LLMs for AI Security

Jane Leung and Oleksandr Yaremchuk — Tue, 13 May 2025 20:35:58 GMT

As you continue to deploy LLM-powered applications into your enterprise, securing these systems against evolving threats becomes increasingly more complex and critical. Often, security teams are divided on how to best tackle this challenge, with two competing approaches emerging in the market: