Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Agent Security is quickly becoming one of the most important areas in cybersecurity. Terms like "agent," "harness," "MCP," "tool calls," "tool responses," "instruction hijacking," "indirect prompt injection," "prompt exfiltration," and "tool misuse" are appearing in conference talks, vendor announcements, podcasts, and industry discussions, often without clear explanations.

Chris Jacob, Field CISO, Securonix There is a particular kind of unease that comes with geopolitical tension. It rarely arrives for security teams as one clean, obvious event. More often, it shows up as a change in tempo across the environment. Scanning increases and phishing attempts feel sharper. Then you start having leadership asking harder questions about exposure, suppliers, regions, and sensitive data.

Data encryption is a complex, but crucial aspect to protect your data, either in the cloud, in your private cloud storage, or when you send messages, emails, or send or transfer any information via the internet. To help simplify this topic, this article will cover: We will also cover the best encrypted cloud storage to protect your data in the cloud, and which encryption methods are best for your privacy.

Generative AI has revolutionized productivity — but it has also introduced a massive, often invisible new vulnerability: AI data exfiltration. Whether it’s a well-meaning engineer pasting source code into an LLM for debugging, or a marketer feeding sensitive customer data into a prompt for analysis, your organization’s most valuable intellectual property is likely walking out the virtual front door.

What this milestone means for enterprise AI security - and why we built it. AI adoption inside the enterprise didn't slow down and wait for security to catch up. It accelerated. And nowhere is that more visible than in the rapid deployment of large language models like Claude across enterprise workflows. Customer support teams use it to summarize tickets. Legal teams use it to review contracts. Engineers use it to write and review code. Finance teams use it to draft reports.

Most organizations can't answer three basic auditor questions simultaneously: where PII lives, who can access it, and how it's protected. One-off scans and manual classification go stale as data volumes grow. A repeatable, eight-step PII protection program from initial discovery through ongoing governance is what separates a defensible compliance posture from a snapshot that collapses under scrutiny.