RAD Security

🔦 Partner Spotlight: @splunk Most security teams already live in Splunk. It’s where alerts land and investigations start. But cloud-native environments break the model. Logs alone don’t cut it, especially in Kubernetes. That’s why teams get stuck chasing context across tools. RAD brings real-time runtime context from your cloud & Kubernetes workloads directly into Splunk so analysts get the full picture without leaving their workflow. No extra tabs. No guesswork. Instead of raw alerts, you get answers: • What changed? • Is this normal? • Who owns it? • What do I do next? With RAD + Splunk: - Context-rich findings, not noisy alerts - Correlated signals before they hit the SOC - Faster investigations, less pivoting - Seamless automation into existing workflows Splunk = system of record RAD = context to act radsecurity.ai/integrations

Everyone says they’re building “agentic” security. The real question: can they prove it? We put together a practical framework to test agentic claims live in a demo. not just take them at face value. Inside the white paper: • The 4 traits of real agency • A simple 0–1–2 scoring rubric • Scenario tests to expose shallow automation • An evidence checklist (reasoning trace, action receipt, verification) • A one-page decision guide for security + engineering If you’re evaluating platforms, this helps separate real capability from polished demos. radsecurity.ai/resources/sep…

ICYMI: AI agents are powerful but they introduce a whole new attack surface. What’s at risk? • Sensitive data exposure • Silent data exfiltration • Prompt injection via untrusted inputs In our recent blog with Ram Iyer @Akamai + @jimmesta (RAD Security), we break down the Agentic Security Crisis and what to do about it: - Why this is becoming urgent - How attackers exploit agent behavior (not just code) - A practical 5-layer defense model - Deploy a secured OpenClaw instance in 60 seconds akamai.com/blog/trends/agent…

Customer Spotlight 🔦 Justin Todd, Staff Security Engineer @edge_delta Running security for a fast-growing AWS SaaS platform is tough. Doing it with a lean team? Even tougher. Before RAD Security: • Data scattered across tools • Hours lost building reports manually • Limited visibility into real production risk After RAD: ✔ Real-time visibility into live workloads ✔ Clear prioritization of actual risks (not noise) ✔ Automated reporting for leadership & board updates ✔ Simple, streamlined workflows Security shouldn’t slow you down — it should scale with you. See the case study: radsecurity.ai/resources/edg…

Every AI coding IDE just got a security team. @clawkeeperdev now supports Cursor, GitHub Copilot, Windsurf + Claude Code. These agents can run shell commands, write files, and call tools—with little visibility. Until now. Clawkeeper analyzes every action before execution: - Blocks risky shell commands - Monitors file writes + MCP calls - Detects prompt injection & credential leaks - Full audit trail One policy. Every IDE. Every dev. Setup in 60 seconds. Try it free: clawkeeper.dev — covers Claude Code, Cursor, Copilot, and Windsurf.

🔦 Partner Spotlight: @Jira Security findings don’t matter if they don’t drive action and that’s where things often break. RAD Security detects threats across cloud + Kubernetes in real time. But engineering lives in Jira. RAD bridges the gap ➡️ Turns security signals into actionable Jira tickets ➡️ Adds full runtime + Kubernetes context ➡️ Routes issues to the right owners automatically ➡️ Syncs updates bi-directionally ➡️ Embeds remediation into dev workflows With RADBot Investigations, enrichment, and updates happen automatically so teams move from detection → resolution faster. Jira is your system of record. RAD makes it a system of action. Check out RADBot to see it in action: radsecurity.ai #PartnerSpotlight #CloudSecurity #DevSecOps #SecOps

Security teams are exhausted. Drowning in alerts. Legacy tools = more noise, not answers. Explore RADBot: An AI security analyst that works like your best investigator (at machine speed): • Investigates threats instantly • Connects the dots across fragmented data • Prioritizes what actually matters • Recommends clear next steps Real answers. Real time. What will you investigate today? radsecurity.ai

🔦 Partner Spotlight: @okta Identity is the control plane and attackers know it. Over 80% of breaches are now identity-driven. But identity alone isn’t enough. RAD connects Okta telemetry with runtime, cloud, and workload behavior to answer what actually matters: • Is this identity acting abnormally? • What data is it accessing? • Does it create a real attack path? By correlating identity with live signals, RAD uncovers insider threats and data movement you won’t see in logs alone. With RADBot, teams get investigations, prioritization, and clear answers without digging through tools. Okta gives you identity. RAD turns it into context, evidence, and action.

How are you thinking about protecting your cloud-native workloads? Excited about what we’re building with @Akamai to bring stronger, more seamless protection to #OpenClaw deployments on Akamai Cloud. Try Clawkeeper to keep your environment secure and resilient. clawkeeper.dev/hosts/new

Weekend listening 🎧 @jimmesta 🤙 was featured on the Humans & AI Podcast with @florlaorga! Tune in to hear why security teams must fight AI with AI. podcasts.apple.com/us/podcas…

Great time at Agave After Dark last night! 🌵 Thanks to everyone who joined us and shoutout to @DryRunSecurity, @RedpointSec, and host @AbsoluteAppSec. Enjoy the rest of #RSAC week!

Introducing a Unified Security Data Layer for AI-driven SecOps. Less noise. More clarity. Faster decisions. #RSAC2026 einpresswire.com/article/900…

AI agents aren’t just powerful, they’re a new attack surface. New blog post from @Akamai + @jimmesta bit.ly/agentic-security-cris… Live demo TODAY @ #NVIDIAGTC Booth #620 (Hall 1) | 4pm PDT