Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Autonomous Shield: Cybersecurity in the Age of Automation and AI

As businesses adapt to an ever-evolving threat and regulatory landscape, it is widely accepted that the next big challenge lies in scaling cybersecurity to keep pace. In fact, organizations have never experienced the volume, velocity, and severity of attacks that we witnessed in 2024 and are continuing to see in 2025.

Insights Agent: From Data to Decisions

Vulnerability and exposure data is only as valuable as the insights you can extract from it. Seemplicity’s Insights Agent changes the game by turning dense vulnerability information into actionable insights, surfacing meaningful trends and generating visual insights. No configuration or guesswork–just fast, contextual analysis that helps security teams focus on what matters most.

How AI agent privileges are redefining cyber insurance expectations

When ransomware drove record losses, insurers began scrutinizing basic controls like multi-factor authentication (MFA), backups, and endpoint detection. Now, AI-driven automation is introducing a new category of risk—AI agents—and insurers are responding with heightened attention to privilege management. AI agents are non-human identities that can approve payments, access sensitive data, and execute commands using powerful API keys.

When Al Agents go Rogue: What you're Missing in your MCP Security

No Fluff, Just Real-World Threats This isn’t your typical marketing webinar. We cover what Agentic AI actually looks like in production, how MCP servers work to broker instructions, and what kind of new threats are emerging. Agentic AI isn’t coming. It’s already here. Autonomous agents are now operating in production environments, reasoning, remembering, and taking real actions across your systems. They’re not just generating content. They’re triggering workflows, modifying records, and making decisions. And they’re doing it over APIs.

Securing AI Agents: How to See MCP Servers and A2A Traffic with Salt Security

AI agents have moved past conversation into action. They book transactions, pull sensitive data, and chain tools together through the Model Context Protocol (MCP) and Agent-to-Agent (A2A) traffic. Every one of those actions runs on APIs, and that connective tissue is where the risk sits. Salt Security Co-Founder and CEO Roey Eliyahu and VP of Product Strategy Nick Rago walk through the risks in the agentic action layer and show what Salt does about them.

You Can't Have AI Security Without API Security: The Agentic Action Layer

AI agents run on APIs, and that is where most security programs have a gap. Salt Security Co-Founder and COO Michael Nicosia and CMO Michael Callahan explain why you cannot secure AI without securing the APIs underneath it. An AI agent uses an LLM to reason and an MCP server to broker calls out to other systems, and every one of those calls is an API interaction. Deploy one agent and the traffic multiplies. Deploy hundreds, and the internal east-west traffic climbs to several times what a pre-AI environment carried.

Master Video Production: Leveraging AI for Efficient Workflows

In today's rapidly changing industry of video production, being ahead of the curve requires embracing new ideas which is why Artificial Intelligence (AI) has become a major force in the game. Artificial Intelligence-driven technology is changing conventional workflows in video production and making video production more efficient as well as smarter than it has ever been. If you're a content creator, filmmaker, or video editor, knowing the best ways to use AI will significantly improve your workflow as well as enhance the production quality.

Automation Without Risks: Staying Secure with AI Browsers

Let's keep this simple. Most people don't get "hacked" in a dramatic movie way: they are not attacked by a team of professional geniuses aiming for millions of dollars in profits. They lose access to accounts, get locked out of work platforms, or leak something sensitive because of small, boring mistakes: a rushed click, reused password, and a browser stuffed with old logins. That's the reality.

Overcoming the Challenges and Limitations of Data Tokenization

Tokenization replaces sensitive data with non-sensitive stand-ins called tokens. The mapping between the token and the original value sits in a secure service or vault. If attackers steal a database full of tokens, the stolen data has little value. This is why tokenization is popular for payment card industry (PCI) workloads, customer PII, and healthcare records. Yet tokenization is not magic. Like any control, it has weak points and practical limits. Teams often learn about those limits the hard way.

Third-Party Vulnerability: What the Mixpanel Incident Means for Millions of ChatGPT and API Users

In late November 2025, developers and API users of ChatGPT and OpenAI’s platform received a note that felt personal: an alert about a data exposure linked not to OpenAI’s own servers but to a third-party analytics vendor. That vendor was Mixpanel.