Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Charlotte AI - Agentic Workflows - Hunting Fake CAPTCHAs

Adversaries are faking CAPTCHAs to trick users into running malicious commands—and using AI to make it convincing. See how CrowdStrike’s Charlotte AI and Agentic Workflows detect these threats, automate response with context-aware actions, and adapt based on risk. CrowdStrike Charlotte AI: ► Work smarter, not harder. Turn hours of work into minutes, or even seconds, with a conversational AI assistant.

Hi My Name Is...the Not So Shady Side of Long-Term Memory in AI

In our last post, we explored how short-term memory enables agentic AI to hold a conversation that doesn’t reset after every message. That form of memory is all about flow—preserving context, user intent, and logic within a single session, even as interactions stretch across multiple turns. The longer the session, the more memory is required to maintain continuity. But not all memory needs to be verbose. Long-term memory serves a different purpose: persistence across sessions.

From Python to Prompts: Becoming an AI-First Developer

As part of the DevSecNext AI series, Jit hosted Sahar Carmel—Principal AI Engineer at Flare—for an inside look into what it really takes to become an “AI-first” developer. With nearly a decade of experience in AI and machine learning, Sahar has been hands-on with copilots and agents long before they were mainstream. In this session, he walks through his radical shift in workflow: from writing code line-by-line to orchestrating prompts, tokens, and memory banks.

Frameworks for Growth: A Vanta Series on Startups, AI, and Scaling

In Frameworks for Growth, Vanta’s Christina Cacioppo interviews the builders and investors behind today’s most impactful startups—from early-stage GTM to AI strategy, leadership, and everything in between. This founder-first series dives into the real frameworks driving scale at leading companies, not just the highlight reels.

The Blind Spots of Multi-Agent Systems: Why AI Collaboration Needs Caution

Multi-agent systems (MAS) are reshaping industries from IT services to innovative city governance by enabling autonomous AI agents to collaborate, compete, and solve complex problems. This powerful transformation comes with a cost. As multi-agent systems grow, their risks also increase, opening the door to adversarial manipulation, emergent vulnerabilities, and distributed attack surfaces.

Zenity and Microsoft Copilot Studio Extend AI Agent Security from Buildtime to Runtime

As enterprises race to adopt AI Agents to drive productivity and innovation. We are excited to announce that Zenity and Microsoft Copilot Studio are joining efforts to enable full adoption of AI Agents. Together, Zenity and Microsoft Copilot Studio help organizations confidently build, deploy, and use AI Agents with built-in security and governance throughout the development and deployment process so they can accelerate adoption at scale.

5 practical tips to navigate AI, security, and compliance in healthcare

It’s no secret that the healthcare industry has a fraught relationship with cybersecurity. Despite being highly regulated, healthcare companies are hot targets for hackers. The wealth of patient data healthcare companies often possess sells for a premium on the dark web, and hackers have an opportunity to yield high ransom payouts due to the criticality of healthcare systems and services. After all, lives may truly be at stake amid a healthcare breach.