Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Trustcraft: How we build AI products at Vanta

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

From Small Town to Global Clients - Growth, AI & Cash Flow Lessons | Podcast with V Gautham Navada

V Gautham Navada, founder of ForthFocus, shares his entrepreneurial journey from freelancing in a small town to serving 350+ clients across 8+ countries. The discussion centered around "forthfocus" and its "10 Years of Vision, Innovation & Growth.

How to overcome data gravity and accelerate AI security in the SOC

Security teams ingest massive volumes of telemetry from endpoints, cloud workloads, identity providers, and network controls. The goal is faster threat detection and shorter incident response times. But the reality is that all of this data becomes harder to move, slower to query, and messier to analyze as it grows. That's data gravity, and it's the biggest barrier to effective AI in cybersecurity.

Bridging the gap: How Corelight and Crowdstrike Charlotte AI are redefining SOC investigations

For years, SOC analysts have lived in a world of swivel-chair analysis. When an alert fires in an endpoint tool, the next step is almost always a manual pivot to a network console to see if the network reality matches the host behavior. This manual back-and-forth isn't just tiring; it’s a window of opportunity for attackers. Corelight is excited to highlight a new integration with CrowdStrike Charlotte AI.

MCP is the New Attack Surface -- and Your Controls Probably Don't Cover It #ai #mcp

AI just handed attackers a new front door — and most security teams don't even know it exists. Model Context Protocol (MCP) is the emerging standard that lets AI agents talk to your tools, your data, and each other. It's also the most significant new attack surface to emerge in years. The NSA noticed. Your adversaries already have.

Ep. 61 - Blind With Scissors: The NSA's MCP Warning for Every Agentic AI Deployment

The NSA just published a rare advisory on the Model Context Protocol (MCP)—the plumbing under nearly every agentic AI deployment of the last 18 months—and the verdict is stark: optional authentication, no token lifecycle, silent behavior changes, and no logging to catch any of it. Host Tova Dvorin sits down with defensive cybersecurity expert Adrian Culley to unpack the eight risk categories, the WhatsApp and GitHub MCP exploits, and why MCP is now a testable validation surface.

Talk to Your Platform: Spin Up JFrog Self-Service Trials with MCP - No Human Intervention Required

JFrog is one of the first Software Supply Chain Management and Security Platforms to provide MCP functionality, which we have now opened up to anyone interested in trying Claude and Cursor in their own development environment. Doing a free trial is one of the best ways to see how JFrog integrates with your developers, operations and security.

Five Signals, One Answer: Why Single-Signal AI Security Always Fails

The security industry hasn’t been wrong about agentic AI risk. It’s been incomplete. There’s no shortage of single-signal solutions for the problem: tools that analyze prompts for malicious content, platforms that monitor data access patterns, capabilities that assess model behavior for signs of manipulation. Each captures something real. None is sufficient on its own.

AI in Australian schools: Managing emerging risks while building a safer learning environment

AI is everywhere in Australian schools. Students are using AI-powered tools to support learning, teachers are leveraging AI to improve productivity and lesson planning, and school administrators are exploring new ways to simplify operations. But while AI holds a lot of promise, it also introduces new cybersecurity challenges. Australian schools increasingly find themselves balancing innovation with the need to protect students and staff.