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.

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.

Scaling Exposure Management: Program Maturity and Continuous Optimization

Building an exposure management program is just the beginning of a long journey. True success comes from scaling that program through continuous optimization, measurable progress, and organizational alignment. As enterprises expand their digital footprint, exposure management must evolve from reactive vulnerability remediation to a proactive, data-driven discipline that continuously strengthens resilience.

What is KeeperAI?

KeeperAITM is an agentic, AI-powered engine embedded within KeeperPAM that delivers real-time threat detection and response, as well as privileged session analysis. Built for Privileged Access Management (PAM), KeeperAI monitors user activity, providing behavioral insights and automated incident response in both live SSH sessions and post-session playback.

Clarity in Exposure Management

Vulnerability reports shouldn’t read like riddles. Seemplicity’s Clarity AI Agent transforms dense, technical scanner output into clear, contextual language everyone can understand — bridging the gap between security, IT, and engineering. Discover how Clarity makes every finding readable, actionable, and ready for remediation.

Faster security investigation with Cloud SIEM playbooks

Playbooks — and automated processes in general — were once primarily associated with security orchestration, automation and response (SOAR) platforms, but that has changed recently. Many modern security information and event management (SIEM) solutions have started incorporating SOAR-like functionality, enabling you to automate security workflows and improve your mean time to detect (MTTD) and mean time to respond (MTTR).

Direct vs. Indirect AI Risks: What Security Teams Need to Know #AIsecurity #AppSec #AInative

AI coding assistants don’t just speed up development — they introduce two kinds of risks you can’t afford to ignore. Direct risks: vulnerabilities added straight into generated code. Indirect risks: exposure through how AI tools shape workflows, dependencies, and external connections. Both can create blind spots — and both demand visibility. Watch to learn how recognizing these layers helps secure your AI-driven workflows.