Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Insurity and Reach Built a Living Zero Trust Model - with Jay Wilson & Garrett Hamilton

Would you rather run a network where everyone trusts everything, or one where nothing moves without being continuously verified? Most would agree that the most secure is ideal. The real question is: how do you get there, and by what means? And where is "there"? That’s the spectrum of Zero Trust maturity most organizations find themselves navigating—from implicit trust and flat networks to real-time validation and least-privilege access that adjusts as environments change.

The CISO's Checklist: How to Evaluate an API Security Platform

API Security Evaluation Checklist In the first half of 2025, APIs have emerged as the primary focus for attackers. Unlike traditional broad attacks on websites, threat actors are increasingly exploiting vulnerabilities and launching DDoS attacks on APIs, which are often harder to secure and manage at scale. Key insights from the State of Application Security Report H1 2025.

Build SOAR Workflows Instantly with Charlotte AI

With Charlotte AI and Falcon NextGen SIEM, build SOAR workflows instantly from natural language. Create reliable, intelligent automation that helps SOC teams respond at machine speed. CrowdStrike Falcon Next-Gen SIEM: Consolidate security operations with the world’s most complete AI-native SOC platform.

The Role of AI Security Agents in Modern Exposure Management

AI security agents are reshaping how organizations manage exposure. This blog explores where they deliver the most impact — from smarter prioritization to faster ownership mapping and assisted remediation — and how this shift moves security teams from automation to autonomy.

From Zero AI Background to GenAI Lead at Peloton #ai #shorts

Amar (Founder & CEO of Protecto) chats with Sabari Loganathan (Head of AI Strategy, Peloton) about how a chance project led to building world-class generative AI systems. From vector search to agentic AI and RAG, discover how Sabari turned technical breakthroughs into real enterprise outcomes.

From Neural Networks to Threat Networks: How AI Development is Reinventing Security Intelligence

In the digital age, the landscape of cybersecurity is evolving faster than ever. Threat actors are becoming increasingly sophisticated, while traditional security measures struggle to keep pace. Enter Artificial Intelligence (AI)-an innovation that is transforming security intelligence by converting neural networks, traditionally used for pattern recognition, into threat networks capable of predicting, detecting, and mitigating cyberattacks in real time.

How MSSPs can automate their way to full-spectrum security

The end of October is here, which means it is time to ask: What have you, as a managed service provider (MSP), learned from Cybersecurity Awareness Month? The most critical lesson remains that human behaviour is the single greatest risk and the single greatest opportunity for defence. While no amount of training can eliminate every mistake (which is why we need automation), a security-aware technician acts as the final, critical filter that can spot novel social engineering attacks and enable fast incident response, but only if the back end is hyper-automated, so technicians know about these potential attacks immediately.

The New Attack Surface: How to Break (and Defend) Large Language Models

Large Language Models now automate customer support, write code, classify emails, generate content, and - disturbingly - execute tasks through plugins and agents. Once an AI can act on your behalf, it becomes part of your operational infrastructure, not a toy. OWASP’s Top-10 for LLM Applications formalized the threat landscape, and quietly confirmed what security researchers have been yelling for two years.