Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries | A10 Networks

AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries AI agents are more than just another virtual machine—they are autonomous entities delegated with power, introducing entirely new trust boundaries into modern network architectures. In this discussion, A10's Arjoyita Roy and Jamison Utter discuss why traditional security controls fall short when managing AI agents and why cybersecurity professionals must design new security perimeters and controls around these evolving AI workloads.

Why Securing AI Agents Is More Critical Than Ever

AI agents offer unprecedented capabilities, speed, automation, deep context, and hyper-personalization, that will transform how we work. However, these same capabilities make AI agents significantly more dangerous than traditional software when hijacked by cybercriminals. You simply cannot rely on yesterday's risk management playbooks to handle today's AI-driven threats.

AI Can't Do CTEM Alone (And Neither Can You)

AI can meaningfully power Continuous Threat Exposure Management (CTEM), but only for specific stages of the cycle: prioritization, validation, and remediation routing. AI can’t replace the underlying data integration work, and it can’t turn CTEM into a single product, because Gartner defines CTEM as a continuous five-stage program (scoping, discovery, prioritization, validation, mobilization), not a tool you install.

AI Security Posture Management: What It Covers and What It Misses

AI Security Posture Management arrived as a term before it arrived as a definition. Vendors announced products under the label through 2025 and in volume at RSA Conference 2026, each describing a somewhat different scope, and buyers now evaluate a category whose boundaries depend on who is selling. The lineage is evident, since AI-SPM follows cloud and data security posture management, and the inherited assumptions are where the difficulty starts.

Top 10 AI Agents for Legal Research in 2026 (Case Law, Statutes and Drafting)

Legal research rewards the tool that shows its sources, not the one that sounds most confident. The right pick turns less on brand than on whether your priority is model choice, case-law depth, or deployment security. The wrong platform hands you a fabricated citation, a confidential contract fed to a model that trains on it, or a bill for the wrong vendor's LLM. This guide ranks the ten agents US legal teams are shortlisting in 2026.

How Can Scrum Masters Integrate AI Tools Effectively Into Daily Work?

Scrum Masters help teams optimize workflow and improve product value. But with frequent business demands, priority shifts, and the rapid adoption of AI by companies, Scrum professionals need to integrate AI tools into their daily work to help enhance their team's productivity to the maximum. When you start your SSM certification journey with organizations like Simpliaxis, you can learn how to incorporate AI into the Scaled Agile Framework and lead Agile teams by becoming a certified SAFe Scrum Master licensed under Scaled Agile.

The Invisible Expansion of the Attack Surface: Shadow AI, MCP, and Third-Party Risk

AI adoption is moving faster than most of us anticipated and, more importantly, faster than most organizations can govern it. Organizations are implementing the use of AI-enabled applications, browser extensions, coding assistants, and automated agents to enable employees to work faster. In many cases, these tools are adopted without security review, procurement approval, or a clear understanding of where organizational data is being sent.

From standard sales user to AWS root in 5 minutes: An AigentX Case Study - Agentic AI Penetration Testing

A recent grey-box Salesforce assessment began with a low-privileged standard user account. From that starting point, AigentX mapped native Salesforce APIs and custom objects, identified cloud credentials exposed through misconfigured Field-Level Security, and demonstrated a path beyond Salesforce into the organization’s connected cloud infrastructure.

As AI Comes for Your Data, Is Your Recovery Ready? Cyber Resilience in the AI Era

AI is already writing code, connecting SaaS platforms, and interacting with sensitive business data. In this podcast, 11:11 Systems explores what organizations must do to prepare for the risks AI can introduce across data security, recovery, and cyber resilience. Watch Jim Jones, Sr.