Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Governing AI agents at enterprise scale requires a fundamental change in how security, risk, and compliance teams think about AI oversight. The generative AI era focused governance on output quality: what the model says, what it produces, and whether the content meets policy standards. ‍ The agentic era demands governance of action and delegated authority: what the AI is allowed to do, what systems it can touch, and how its decisions trace back to human accountability.

Aaron Beardslee, Security Researcher, Securonix Threat Labs As many of you have heard, OpenAI was running a cyber-capability evaluation against advanced models, including GPT-5.6 Sol and a more capable pre-release model with reduced cyber refusals. The environment was meant to be constrained and the model still brute forced through it.

For years, cybersecurity has faced a persistent talent shortage. Yet the real challenge for many organizations isn't simply finding more people; it's having the specialized capabilities needed to investigate and respond to today's increasingly sophisticated threats.

July's release makes AI more useful across the Egnyte platform, with major enhancements to AI Assistant that make it easier to build agents, create documents, have more natural conversations, and securely connect AI tools through Egnyte MCP Server.

Organizations are rapidly integrating AI into everyday business operations. Teams are using Microsoft Copilot and Gemini to summarize meetings, developers are accelerating software delivery with coding copilots and customer service teams are deploying AI-powered chatbots to improve response times. While these initiatives are viewed through the lens of productivity and innovation, they are also reshaping organizations’ identity environments in ways that frequently go unnoticed.

The main difference between AI governance and AI compliance is that AI governance is the internal framework an organization develops to manage AI responsibly, while AI compliance is how organizations demonstrate to external regulators that they’re adhering to applicable laws and regulations. These two terms get used interchangeably, but they solve different problems. With compliance alone, an organization can satisfy regulators without meaningfully controlling how its AI behaves.

AI agents have moved from pilots into broad enterprise use. They read email, query systems of record, take actions, invoke tools, and coordinate with other agents on behalf of employees. Every line of business wants more of them, and security teams are being asked to enable that expansion without losing visibility or control.

You're staring at a deployment script, the vendor wants a clean setup.exe launch, and half the fleet needs the same binary with the same arguments. At the same time, your SIEM is already full of PowerShell activity that looks harmless until it isn't, because the exact same process-launch primitive is one of the most common ways attackers move from code execution to real impact. That's why PowerShell execute.exe isn't just a scripting question, it's an operational and detection question.

Encrypting files has become the new norm for the digital services we use online, from VPN, email, and cloud storage. Without it, our data is openly available for anyone to read, compromising our confidentiality, privacy, and security and potentially costing businesses millions in compliance fines. This comprehensive guide therefore offers you a comprehensive guide on how to encrypt files to ensure your data remains protected by covering the following topics.

“A man’s worth is no greater than the worth of his ambitions.” Marcus Aurelius wrote that almost two thousand years ago, in a private journal he never intended anyone to read. Coming from a man who held every title Rome could give, it’s a telling way to measure worth: not by what you hold, but by what you aim at. It has stuck with me, because everything I’ve seen in my career backs it up. Deep technical knowledge is where great engineering starts.