Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

DPDP-Ready series In our first post in the DPDP-ready series, we mentioned that the Consent Manager registration provisions are scheduled to take effect in November 2026, and that most ordinary...

A lot of Indian businesses already did real work for GDPR, an EU customer asked for it, or a vendor contract required it, and the natural next question is how...

Anthropic's Inference Hooks update lets security teams validate Claude's tool calls before they run. Zenity supports it across Claude's surfaces, so teams can approve write-capable connectors, Model Context Protocol (MCP) servers, and wider Claude Code rollouts with policy on each action.

As AI agents operate with increasing autonomy in enterprise production, the sheer volume of security telemetry they generate creates an unprecedented scaling challenge. Human oversight remains required in many enterprises, while legacy triage tools simply can't keep up. To help security teams cut through the noise, Zenity’s AI group built the Blue Agent.

Mobilization is the fifth and final stage of continuous threat exposure management (CTEM). It turns validated, prioritized exposures into action by assigning clear owners, delivering context-rich work into the tools teams already use, choosing the fastest safe response, tracking SLAs, and verifying that fixes worked. It’s often the hardest stage because security teams find exposures but IT, engineering, and cloud teams fix them.

On a recent call, a security lead walked us through two rules his team enforces on every build. Both are sensible. Together, they left his developers with a red pipeline and no version of a library they were allowed to use. The first rule is a cooldown. A new open source release cannot enter the build until it has been public for a set number of days. The second rule blocks any library version with a known high or critical vulnerability.

For the ten years I have watched this industry, hunting business logic vulnerabilities has been notoriously expensive and exceedingly difficult. Every attempt to bring the cost down has hit the same wall. Now, for the first time, we as an industry have the capability to meaningfully lower the ceiling on what this work costs. I would argue Astra’s autonomous pentesting platform is pioneering that shift.