Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing the AI Agent Era: One Control Panel Across SaaS, Endpoint, and Cloud

The companies winning with AI aren’t just deploying agents faster - they’re operationalizing them responsibly. They realize AI agents are creating a new, dynamic attack surface that traditional tools were never designed to handle. These agents span the entire enterprise ecosystem. Microsoft 365 Copilot, Copilot Studio, and Salesforce Agentforce are SaaS‑managed agents. GitHub Copilot, Cursor, and Claude desktop run directly on user devices as device‑based agents.

Ep 4: Stop writing dumb AI security policies: use threat models, not fear

AI policy is not a yes/no question. Security isn’t here to be the morality police. Our job is to enable the business safely. Join security experts Adam White and David Girvin as they chat about the importance of using threat models, a simple framework, and five policy areas you are probably ignoring.

How AI Makes APIs Even More Dangerous #apirisks #aisecurity #airisks #ai

AI and agent-based technologies are accelerating the use—and the risk—of APIs. Experts from Wallarm and Oracle explain how every new AI app or agent can instantly connect to dozens of APIs, multiplying your attack surface. Learn why the combination of AI and APIs is creating new security challenges you can't ignore.

Secure at Inception: Introducing New Tools for Securing AI-Native Development

At Snyk, we believe you should never have to choose between speed and security. As the age of AI transforms software development, our goal is to extend our developer-first security approach to this new era, providing the essential tools your teams need to build with confidence. Today at Black Hat, we are delivering on that vision with three tangible innovations that offer a comprehensive solution to secure the entire code lifecycle with AI.

AI vs. AI: The Race Between Adversarial and Defensive Intelligence

The AI battleground is here. Adversaries are weaponizing AI to launch attacks with unprecedented scale, speed, and effectiveness. In response, defenders are turning to AI as an analyst force-multiplier, using it to offload repetitive tasks, accelerate decision-making, and scale expertise across the SOC.

CrowdStrike 2025 Threat Hunting Report: AI Becomes a Weapon and a Target

Today’s enterprising adversaries are weaponizing AI to scale operations, accelerate attacks, and target the autonomous AI agents quickly transforming modern businesses. The CrowdStrike 2025 Threat Hunting Report details this new chapter in the threat landscape. This year’s report, based on frontline intelligence from CrowdStrike’s elite threat hunters and intelligence analysts, examines how threat actors are using AI to do more with less.

Preventing Data Poisoning in Training Pipelines Without Killing Innovation

Data poisoning occurs when cyber criminals intentionally compromise the integrity of a data set used for training machine learning models. They corrupt the information to manipulate the model’s outcome in the form of incorrect predictions by introducing vulnerabilities that reduce the effectiveness, add security risks, and fundamentally shape its decision making capabilities.