Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Salt Agentic Security Platform

Most enterprise AI security investment is focused on the model layer—guardrails, output filtering, LLM governance. That's necessary. It's not sufficient. AI agents take actions: they call APIs, invoke MCP servers, access databases, and trigger downstream workflows. The Salt Security Agentic Security Platform was built to secure that action layer (the infrastructure your agents actually operate across).

OpenAI Daybreak and the Future of Secure Software Development

OpenAI recently introduced Daybreak, a cybersecurity initiative designed to apply frontier AI models to vulnerability discovery, secure code analysis, and earlier remediation across the software lifecycle. By combining advanced reasoning and planning capabilities, Daybreak aims to help organizations identify and address weaknesses before they reach production. This is a meaningful step forward, but it is also a continuation of a long-standing approach.

AI Agent Attack Detection: The Complete Framework for Security Teams

It usually starts the same way. The CISO comes back from a board meeting having signed off on agentic AI for production. The SOC lead is told, in roughly that many words, to build detection for the agents. And the security stack she has — CNAPP for posture, EDR on the nodes, container runtime sensors, a SIEM ingesting everything — was architected before AI agents existed as a workload class.

The AI attack surface: What MSSPs and SecOps teams need to watch

AI tools are moving faster than the security controls meant to govern them.In this episode of Defender Fridays, Cisco's Cybersecurity Technical Solutions Architect Katherine McNamara walks through changes in the threat landscape as organizations rush to integrate AI without applying basic security discipline. When Katherine meets with customers to discuss AI security, the conversation almost always starts and ends in the same place: data leakage. Someone might upload sensitive files to a public LLM.

How Hybrid Work and Cloud Adoption Are Changing Enterprise Ransomware Risk

Five years ago, enterprise ransomware risk was mostly a perimeter problem. Today it’s an identity problem, a visibility problem, and a cloud configuration problem, all at once. Hybrid work and cloud adoption didn’t just shift where people work. They fundamentally changed where ransomware attacks begin, how far they reach, and how long they go undetected.

Redesigning Security Culture for the Agentic Age

The launch of platforms like Moltbook, OpenClaw, and RentAHuman in early 2026 has provided an unsettling glimpse into the future. We are entering a phase of the digital workplace where AI agents no longer just assist us, they interact with one another, act autonomously in the physical world, and even hire humans for manual labor. In this environment, the traditional lines of control and agency are being redrawn.

AI-assisted vulnerability reporting with Shane Warden

Join us for this week's Defender Fridays as Shane Warden, Principal Architect at ActiveState, shares what it's actually like to be on the receiving end of AI-assisted vulnerability reporting and what open source maintainers are already dealing with that the rest of the industry will face soon. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

Optimize Zscaler Secure Internet Access (ZIA) Controls | Demo Video

Zscaler Secure Internet Access (ZIA) provides powerful secure access, inline inspection, decryption, and data loss prevention capabilities. But as your security and IT environments scale, and security controls change, Zscaler ZIA protections can drift away from established baselines, increasing your risk and leaving you open to attack. Reach analyzes your Zscaler ZIA controls to find and fix misconfigured controls, activate unused capabilities, and stop configuration drift. This hardens your defenses and protects you against fast-moving adversaries.

AI governance: a practical guide for enterprise leaders

It's 9:47 AM on a Tuesday. A Slack message from legal lands in the security channel: "Did anyone approve the marketing team's new AI vendor? They're feeding customer data into it." Nobody approved it. The vendor's terms say they can use input data for model training, and the contract was signed three weeks ago. That moment, some version of which plays out at most organizations now, is what makes AI governance an operational priority rather than a compliance exercise.