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Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
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The Power of an AI Ecosystem: When Fragmented Content Connects, AI Delivers
AI tools are everywhere. Value isn’t. Most organizations already use AI—chatbots answer questions, assistants summarize documents, and agents kick off workflows. And yet, day-to-day work often feels the same, with people still digging through folders and teams still double-checking decisions. AI exists, but the returns vary widely. The problem isn't with AI. It's the way the work is set up. Work is fragmented across tools, systems, and formats that were never designed to work together.
AI Moves Fast, Privacy Has to Move Faster with Ojas Rege
In this episode, Caleb Tolin welcomes Ojas Rege of OneTrust for a practical, wide-ranging conversation on how data privacy and governance must evolve alongside enterprise AI adoption. Ojas explains why AI fundamentally changes the privacy conversation: the same systems that enable organizations to move faster can also cause harm faster when guardrails aren’t in place. From agentic AI systems that dynamically repurpose data to general-purpose models that blur traditional notions of “intended use,” the challenge isn’t just compliance—it’s trust.
AI Compliance: 5 Key Frameworks, Challenges, and Best Practices
AI compliance ensures AI systems follow laws, ethics, and standards by managing risks like bias, privacy violations, and lack of transparency through robust governance, documentation, and continuous monitoring, using frameworks like the EU AI Act and NIST AI Risk Management Framework (RMF) to build trust and avoid penalties in developing, deploying, and operating AI.
What is a Prompt Injection Attack?
AI tools are quickly becoming part of everyday business workflows. From chatbots to automation tools, large language models now handle sensitive tasks and data. But with this growth comes new security risks. One of the biggest emerging threats is the prompt injection attack, in which attackers manipulate inputs to cause AI systems to ignore their original instructions. Unlike traditional cyberattacks, this method exploits weaknesses through language rather than code.
Prioritizing Vulnerabilities Beyond Internet Exposure
Nucleus R&D Engineer Ryan Cribelar assesses where internet exposure ranks amongst all of the factors involved when prioritizing vulnerabilities.
Cisco's SD-WAN 0-Day
This week, Marc and Corey break down a recently disclosed and patched 0-Day vulnerability in Cisco’s Catalyst SD-WAN Controller that was actively exploited for three years.
Cybersecurity as Competitive Advantage: Why Clients Will Pay More for Secure Law Firms
Here’s a number that should change how law firms think about IT security budgets: 37% of clients are willing to pay more for firms with strong cybersecurity measures. That’s not a soft preference – it’s a purchasing decision. According to the 2025 Integris Report on Law Firms and Cybersecurity, clients are actively factoring security into their choice of legal counsel.
7 best Privileged Access Management (PAM) solutions in 2026
PAM solutions in 2026 must cover non-human identities, enforce zero standing privilege, and deploy in days rather than quarters. Legacy vault-centric tools leave standing accounts in place between rotations, giving attackers persistent targets across service accounts and machine workloads. Evaluating modern PAM requires testing JIT access depth, AD/Entra ID integration, and real-world deployment timelines against your hybrid environment.
10 data governance best practices for compliance
Data governance best practices give organizations the documented policies, assigned ownership, and enforceable controls that auditors require. Without governance, compliance gaps emerge across access controls, retention enforcement, and audit evidence, creating exposure under GDPR, HIPAA, and SOX. Closing those gaps requires classification, accountability, continuous monitoring, and tooling that connects policies to evidence.
The Machine War: Why MSPs Must Move from AI-Assistance to Autonomy
In 2026, the digital landscape has shifted from a world of "AI assistants" to one of autonomous operators. For managed service providers (MSPs), this evolution marks the end of the traditional "land and expand" human services playbook and the beginning of a high-speed era of machine-on-machine warfare.