Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Simple Masking Kills AI Accuracy

Here is a document going into an AI assistant: A simple masking system produces: The information is protected, but the document has become almost impossible for the AI to reason about. It no longer knows who introduced whom, who approved the proposal, or whether the same person appears multiple times. By removing identity, we destroyed the relationships that give the document meaning.

AI hacking makes password spraying faster. Here's how to close the gap

AI hacking tools are compressing the time between finding a target and logging in as them. Password spraying, already responsible for the vast majority of identity attacks, is the technique benefiting most. Attackers use AI hacking methods to optimize timing, rotate infrastructure, and personalize lures at a scale no human operator could match manually.

80% of New Code is AI-Generated - But 40-50% Has Vulnerabilities Find out Why

Is your organization generating up to 80% of its new code with AI? You might be proud of the speed — but are you ready for the security risks? In this video, we reveal the hidden danger: multiple studies show that **40-50% of AI-generated code changes contain vulnerabilities**. Discover why AI coding is accelerating development faster than ever — and why traditional security approaches are no longer enough.

TITAN AI Demo Series: Security Events in TITAN Secure - From Fragmented Threat Data to One Live Feed

Threat data lives everywhere: news outlets, hacker forums, breach reports. Correlating all of it to your vendor ecosystem by hand costs precious response time. SecurityScorecard's new Security Events feature inside TITAN Secure automates that mapping. It turns fragmented signals into a live feed showing exactly who's affected, what happened, and when. Event tags separate confirmed compromises from unverified hacker chatter Status badges show whether an event is active or still under investigation Impact summaries surface how many vendors are confirmed or potentially affected.

Best 6 AI security posture management platforms (AI-SPM) in 2026

AI Security Posture Management (AI-SPM) platforms are specialized tools that discover, monitor, and secure AI models, pipelines, and data, mitigating risks like data leakage and model poisoning. They offer continuous visibility, manage misconfigurations, and enforce security policies across cloud services like Azure OpenAI and Bedrock.

How to Discover, Monitor, and Manage Shadow AI Across the Enterprise

Shadow AI is the fastest-growing unmanaged risk surface in most organizations. Employees are adopting AI tools through browser extensions, free-tier SaaS accounts, personal logins, and embedded platform features without involving IT, security, or procurement. The result is an expanding footprint of AI systems that process corporate data, generate business outputs, and create compliance exposure while remaining invisible to the governance program responsible for managing those risks. ‍

Bringing Claude Enterprise Activity into Cato AI Security

Claude is now a part of many employees’ everyday work. But even as a sanctioned application, it creates a visibility problem for security teams. Sensitive data can move into prompts, files, projects, and conversations, and teams need a practical way to see what happened and whether it violates policy.

Cato CTRL Insights: How One Threat Actor Turned Frontier AI Into an Offensive Platform

A Russian-speaking threat actor known as “Trim” has spent the better part of 2026 systematically dismantling the guardrails on publicly available frontier AI models and rebuilding them as offensive tools. What started in March as a knowledge-sharing post on a Russian cybercrime forum detailing how to break Claude Opus into writing malware, had evolved by June into a fully productized, commercially marketed AI-powered penetration testing platform.

Top 9 AI Penetration Testing Companies for AI/ML/LLMs/MCPs

From inchoate brainstorming sessions in the halls of Dartmouth College to a panoply of funding springs and winters, AI has made its way into the tech stack of not just almost every enterprise but also every household. This, though music to the ears of an AI researcher, rewards a security professional with sweat beads. Even a single AI/ML/LLM or an MCP feature in your product evolves your attack surface, necessitating scouting for the right AI/ML/LLM/MCP penetration testing companies.