Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

IBM 2025 Cost of a Data Breach Report: Lessons for API and AI Security

IBM’s 2025 Cost of a Data Breach Report offers one of the clearest and most comprehensive views yet of how AI adoption is shaping the security landscape. While breach numbers are relatively low – only 13% of organizations reported breaches involving AI models or applications – the report reveals a troubling pattern: APIs and integrations are often the real entry point, and they’re frequently under-secured. At Wallarm, we’ve been banging this drum for a while.

Beyond the Prompt: Securing the "Brain" of Your AI Agents

Imagine an autonomous AI agent tasked with a simple job: generating a weekly sales report. It does this reliably every Monday. But one week, it doesn't just create the report. It also queries the customer database, exports every single record, and sends the file to an unknown external server. Your firewalls saw nothing wrong. Your API gateway logged a series of seemingly valid calls. So, what happened? The agent wasn't hacked. Its mind was changed.

MCP security is non-negotiable for AI-driven organizations

Model Context Protocol (MCP) is gaining traction because it enables LLMs to interact with live systems and enhance context by retrieving and managing relevant real-time information. LLMs can’t query Salesforce, trigger an Okta password reset, or fetch context from your SIEM, for example. MCP bridges that gap by connecting AI models to real-world APIs, powering AI applications like retrieval-augmented generation and multi-step agent workflows. They’re fast to deploy.

The Two AI Licenses You Need to Know

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

Hyper-AUTO-Mation: Why Carvana's CISO Bet on Agentic AI for 5x SOC Efficiency

CISOs everywhere are feeling the AI fatigue. Every vendor at Black Hat 2025 was hyping ‘AI agents for SecOps,’ so there’s rightfully a lot of skepticism about deploying AI in production, especially in enterprise environments. But the old way of running a SOC just isn’t working anymore. After all the time and money spent on traditional playbooks, we’re still wrestling with the same challenges: alert fatigue, burnout, tool sprawl, and inability to scale.

The Role of AI Custom Solutions in Modern Financial Services

AI has been hard at work redefining the limits of what can be done in almost every industry, but in finance, the stakes and the payoff are especially high. Algorithms are used to make decisions that used to be made by experienced analysts, such as in fraud detection and portfolio optimization. However, the distinction between merely applying AI and actually taking advantage of it is sometimes as simple as a single factor - customization.

Modern APIs, Modern Threats: Why WAFs and API Gateways Aren't Enough

APIs are the connective tissue of today’s digital ecosystems, driving innovation, automation, and business growth. But as APIs grow in complexity and volume, they’ve become prime targets for sophisticated and targeted attacks. Attackers are using threat vectors like business logic which bypass traditional tools like WAFs and API Gateways. In this webinar, we’ll explore why modern API security demands more than legacy defenses and how a dedicated API security solution is essential for protecting against today’s most advanced threats.

Agentic Container Security with Snyk MCP Server

Did developers steal the spotlight of agentic workflows with the wave of AI coding assistants sweeping the media, startups, and tech? What about DevOps workflows, container security, and operating system vulnerability scanning? One of the most time consuming tasks of application security engineers and those responsible for production artifacts is tracking Common Vulnerabilities and Exposures (CVEs) and in what way they impact a bundled application.

The New Guy (a.k.a. Agentic AI)

AI agents have already caused unintended record updates, broken workflows, and pushed flawed logic into production systems. These misfires often go unnoticed until forecasts stall, pipelines break, or sensitive data is affected. These aren’t hallucinations. They’re executed actions with real consequences. At Rubrik, we’ve spent years helping enterprises recover from ransomware, insider threats, and operational errors. The pattern is always the same: Damage happens fast. The root cause is murky. And visibility is fragmented.