Agentic AI: From Model Risk to Enterprise Risk
The organizations that thrive in 2030 will be those that treat governance as the foundational architecture for innovations in autonomy.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Productiv shutdown: Switch to 1Password for durable AI and SaaS Management
On August 2, 2026, Productiv told customers its SaaS management platform was shutting down on August 6, with account data deleted once access ended. Four days is not much time to pull years of app inventory, spend, and usage data out of a system you've come to depend on, especially with AI tools now adding a fast-moving new layer of spend and access to track on top of everything else.
SwyftComply AI: How We Turn Vulnerability Flood Into Audit-Ready Protection
For the last several months, we have run AI agents against real production applications across industries. Two questions drove the work: what does AI-powered vulnerability analysis and pentesting surface at scale, and what does protection have to look like to keep pace. The vulnerability discovery side confirmed what Mythos made impossible to ignore.
Securing Agentic AI Workflows in n8n: From Leaked API Keys to Encryption Key Compromise
A leaked n8n API key is only the start. GitGuardian's research traces the full chain, from exposed tokens and weak keys to CVE-2026-25053 and the N8N_ENCRYPTION_KEY that protects every stored credential, then lays out a hardened configuration to break it.
6 Administrative Tasks Every Personal Injury Law Firm Can Automate With AI in 2026
Personal injury law firms spend a significant amount of time on administrative work that supports-but does not replace-legal expertise. Reviewing medical records, preparing demand letters, drafting litigation documents, organizing case files, summarizing evidence, and communicating with clients are all essential parts of managing a case, yet they can consume valuable hours every week.
Shadow AI Is the New Shadow IT: Getting Visibility Into the Models Your Teams Already Use
Security teams spent a decade wrestling shadow IT - the unsanctioned SaaS accounts, personal Dropboxes, and rogue cloud instances that employees adopted faster than governance could follow. That battle produced hard-won playbooks: discover, broker, monitor. Now the same movie is replaying with AI, at higher speed and with higher stakes. Developers embed model APIs into services over a lunch break, marketing teams paste customer data into chatbots, and product features quietly ship with third-party inference behind them. Most organizations today cannot answer a basic question.
Securonix Takes on Data Costs, Detection Gaps, and AI Agent Risk at Black Hat USA 2026
New capabilities help organisations control security data costs, strengthen Microsoft Sentinel detection coverage and response, and govern enterprise AI agent activity.
Mallory Unifies Threat Intelligence, Exposure Context, and Response Into One Architecture for Security Teams
As AI-assisted attackers compress exploitation timelines to hours, Mallory turns live adversary intelligence into prioritized, policy-governed action across the tools security teams already run.
Airlock Digital Unveils Agentic AI Control & Governance to Extend Preventative Endpoint Security
Airlock Digital announces Agentic AI Control & Governance, extending its preventative endpoint security solution with visibility into trusted AI agent behavior and governance over what trusted agents are allowed to do on endpoints.
From Data Classification to Runtime Data Security for AI
Authentication used to be a login form. Then it became IAM: identity providers, roles, federation, lifecycle. Then it became Zero Trust: no built-in trust, every request checked in context. Each step did not replace the last so much as fold it into a bigger runtime decision. The login still happens, but it is now one input to a constant, context-based check.