Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Identity Surface You're Not Watching: Three Layers of Coding Agent Risk

There's a widespread assumption in enterprise security that identity is a problem IAM programs know how to solve. Provision the right access, enforce least privilege, audit the credential chain, and you've addressed the identity risk. For human users and traditional service accounts, that's approximately correct. For coding agents, it misses two-thirds of the problem. Coding agents don't have a single identity. They operate across a layered identity surface, and each layer carries its own risk profile.

How to Present AI Risks to the Board of Directors

A board meeting agenda gives the CISO ten minutes to talk about AI. Walking in with a shadow AI tool count or a list of blocked prompts does not answer the question directors probably have: what happens if this goes wrong, and who is accountable when it does? Boards increasingly carry direct exposure for AI oversight failures, from regulatory scrutiny to shareholder litigation.

Continuous Offensive Security & AI Pentesting: 20 FAQs

Applications can change several times between scheduled security assessments. New features, APIs, and integrations may introduce risk long before the next annual penetration test begins. That gap is pushing offensive testing beyond a single tool or a single point-in-time engagement. Teams are increasingly combining Dynamic Application Security Testing (DAST), AI penetration testing, and AI red teaming to evaluate different layers of application risk.

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.