Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Next Market Disruption: Agentic SOC

Predicting a market disruption is difficult, but the vast rewards of being correct make it worthwhile. Unfortunately, prediction becomes tougher when marketing teams start labelling everything as a "market disruptor". Much like the stock market, if something is being sold to you as “the investment of a lifetime”, it almost certainly is not. Yet market disruptors do exist, and the organizations that identify them enjoy generational success.

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.

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.

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.

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.

Agentic AI Security: Spin Up a Fully Configured Tenant in Minutes

LimaCharlie built a SecOps Cloud Platform that connects every component, including agentic AI, via API. This architectural approach unlocks the full potential of AI, allowing it to do more than advise. We call it the Agentic SecOps Workspace. With LimaCharlie, AI can provision tenants, deploy rulesets, configure integrations, and manage infrastructure directly. Our bring-your-own-LLM approach makes AI a native part of your security stack, not a layer on top of it.

Who's Winning the AI Arms Race: Threat Actors or Cybersecurity Defenders?

The modern threat landscape is an ever-evolving battlefield of innovation and escalation. Thanks to the rapid adoption of artificial intelligence, both attackers and defenders now have powerful new tools at their disposal. But who has the edge when it comes to the artificial intelligence (AI) arms race? Unsurprisingly, the answer is complicated.

The Case for Behavioral AI in Legal Email Security

For legal organizations, the integrity of communication isn't just a business requirement, it’s a foundational pillar of the profession. Whether it’s a sensitive case strategy, a confidential merger agreement, or personal client data, the information contained within firm emails represents an immense amount of trust and significant liability. However, as law firms increasingly migrate to cloud environments like Microsoft 365, they face a double-edged sword.