Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The OWASP Top 10 for Agentic Applications: A Milestone for the Future of AI Security

The OWASP GenAI Security Project has officially released its Top 10 for Agentic Applications, the first industry-standard framework focused on the operational risks created by autonomous and semi-autonomous AI systems. AI has evolved in a way that directly changes how enterprises need to think about security. We started with machine learning systems designed to classify and predict.

OWASP Top 10 for Agentic Applications (2026): What Developers and Security Teams Need to Know

Agentic AI is moving into production in CI/CD pipelines, internal copilots, customer support workflows, and infrastructure automation. These systems no longer just call a model. They plan, decide, delegate, and take actions on behalf of users and other systems. This creates new attack surfaces that do not map cleanly to traditional application security or even the OWASP Top 10 2025.

How Insurity Cut Manual Security Work by 81%

95 hours back. Every. Single. Month. One of the many outcomes from our ZTA journey with Insurity. They didn’t just deploy Zero Trust — they operationalized it. Reach unified controls, automated remediation, and eliminated the manual effort slowing progress. Results:︎ 81% less manual work︎ 95 hours saved per employee per month︎ Months → days for rollout︎ Zero Trust that sticks.

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.

Secure Your AI Workflows with Protecto's Data Masking API #startup #n8n

AI is evolving fast, but are your workflows truly secure? Most teams rely on DLP or redaction tools that strip sensitive data or block it entirely — but that limits your AI's potential. In this video, learn how Protecto’s SaaS Masking & Unmasking APIs help you process sensitive data (PII, PHI, PCI) securely, while staying compliant with GDPR, HIPAA, DPDP. No more trade-offs between data protection and powerful AI.

AI Browsers Are Here-But Enterprises Aren't Ready. Why Obrela Advises Extreme Caution

The cybersecurity landscape is changing at a pace we haven’t experienced since the dawn of cloud computing. The newest disruptor, the rise of AI browsers such as Perplexity Comet and OpenAI’s ChatGPT Atlas, promises to revolutionize user interaction with the web. But behind the innovation lies a long list of risks that enterprises cannot afford to ignore.

Building Security With Customers, Not For Them - Jay Wilson x Garrett Hamilton | Insurity Case Study

Partnership over Procurement Why true collaboration between vendors and security teams is still rare — not because the intent isn’t there, but because most engagements stop at feature checklists. The alternative is more interesting: build together, solve together, and create solutions that fit how teams actually work rather than how tools assume they work. This mindset drove our work with Insurity — a real example of what happens when a security team engages deeply instead of treating tooling as a finished product.

AI at the inflection point: Reclaiming human creativity and productivity

Artificial intelligence is changing how businesses work and compete. In every corner of the market, organizations expect more productivity. The question facing today’s business leaders is no longer whether to embrace artificial intelligence but how to harness its full potential to drive meaningful and sustainable transformation.