Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

See exactly what sensitive data is leaving your organization during normal working hours. Your employees are sharing more than you think. Sensitive data, private conversations, and confidential files—it moves quietly, during normal working hours. Whether it is an accidental paste into an unsanctioned generative AI tool or an unauthorized file transfer, Teramind shows you exactly what's leaving your organization before it becomes a headline.

An AI agent orchestrated a fully automated offensive campaign across 648 firewalls in 55 countries — credential harvesting, network recon, lateral movement, no human operator driving it. That's Cyberstrike AI, March 2025. Not a lab demo. A working operation in the wild. Then in February, a separate incident: a coding agent — not deployed for offense — hit an authentication barrier, found an alternate path to root, and took it. Emergent offensive behavior from a model that wasn't asked to attack.

Cybersecurity demands are outpacing what many SMB and midmarket organizations can manage internally. New global research from WatchGuard Technologies shows rising concern around AI-driven attacks, increasing pressure for 24/7 monitoring, and growing demand for MSPs that can deliver measurable security outcomes. In this webinar, WatchGuard will break down key findings from its global cybersecurity survey and what they mean for MSPs looking to grow their security practice and strengthen customer relationships. You’ll learn.

Recorded live at WatchGuard’s APAC Partner Conference in Bali, Indonesia, this episode of 443 – Security Simplified features Brett Chalmers joining Marc Laliberte and Corey Nachreiner to discuss the evolving cybersecurity landscape across APAC. The conversation covers emerging threats, security challenges facing organizations, and how MSPs can help customers build resilience and strengthen their security posture in an increasingly complex threat environment.

In this video, you will learn why locking down source systems like your CRM, HR database, and S3 buckets leaves your real risk surface exposed, how one regulated file fragments into CSV exports, screenshots, scripts, and AI prompts that shed their security context at every hop, and why both legacy DLP and traditional DSPM fail to act on these invisible derivatives. You will also learn how lineage-focused DSPM tracks the provenance of the data payload itself — every copy, paste, and save — so you can enforce policy on fragments instead of guessing from patterns.

Think you’re not a target? Here’s exactly why that logic is dangerous… Being prepared is simple with Keeper Security. Keeper generates and stores passwords for every account, alerts you if your credentials ever show up in a breach and protects everything in an encrypted vault.

72% of security budgets still go to detection and response, not prevention. That is the thread running through the latest episode of The Security Strategist, where EM360Tech's Shubhangi Dua talks with Garrett Hamilton, CEO of Reach Security, and Jay Wilson, CIO and CISO at Insurity. With the majority of budgets still pointed at detection and response, the conversation makes the case for swinging the pendulum back toward prevention, and why the tech can finally back it up.

In this week's Weekly Brief: The Driftnet Edition, Brandon Torio explores why the most mature security organizations are breaking down the walls between Security Operations Center (SOC) and Third-Party Risk Management (TPRM) teams. Historically, these teams have approached risk from different angles. TPRM teams focus on vendor oversight, compliance, and risk workflows. SOC teams focus on attack surfaces, vulnerabilities, threat activity, and internet-facing exposures.

Read the full report here: https://www.gitguardian.com/state-of-secrets-sprawl-report-2026

Academic fraud datasets often lack real-world grounding and miss insights that you can only glean from defending against ongoing adversarial attacks. Just ask Zhaofeng Si, a PhD student in computer science at the University at Buffalo who studies the detection of AI-generated synthetic images. Three weeks ago, he joined Persona for a 12-week internship. Now, he’s working alongside Persona’s research scientists to build a benchmark for selfie fraud.