In this episode of my ongoing series testing AI coding tools, I put Windsurf’s latest model, SWE-1, to the test. The challenge? Build a secure note-taking app from scratch. I’m looking at everything from how it handles authentication and encryption to whether the code is clean, usable, and actually secure. If you're curious about how SWE-1 stacks up against other AI dev tools like GPT-4 or Claude, this video is for you.
In today's digital age, fraud has become increasingly sophisticated, costing businesses billions annually. Traditional fraud prevention techniques are no longer sufficient to counteract increasingly sophisticated fraud schemes.
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.
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.
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.
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.
If you are at all involved in cybersecurity, then chances are you attended or talked to someone about the RSA Conference 2025. This year’s theme was “Many Voices, One Community” – a spot on description based on my experience. Yes, there were many voices – mostly talking AI, specifically agentic AI which is driving innovation and demand for security solutions.