Nebulock’s new funding puts a spotlight on a fast-moving corner of security: AI-assisted threat hunting built to turn noisy telemetry into usable detections.
A sparse extortion post, a 64-character digest, and an unnamed target show how little attackers sometimes reveal while still trying to force a response.
Upwind Security is extending its AI Sensor to bring endpoint activity into the same operational view as cloud context, a move that puts AI actions, identities, MCP connections, and developer risk on one screen.
A webinar on account takeover points to a stubborn reality in cloud defense: once an attacker is using a valid identity, the attack can blend into ordinary business activity.
A new loader variant shows LokiBot using API hashing and 3DES-encrypted C2 configuration to make static analysis harder.
A renewed case for Network Detection and Response argues that security teams need network evidence, not just alerts, to answer the basic questions that define an investigation.
As cloud and AI workloads spread, the real pressure point is no longer abstract "digital growth" but the physical footprint of power, cooling, water, and site choice.
A named victim, a hash-like string, and no verified website are enough to seed an extortion narrative - even when the technical picture remains thin.
Bitsight’s 2025 telemetry points to a split-screen cyber year: observed breach counts fell, ransomware activity rose, and internet-facing AI services expanded fast enough to reshape the attack surface.
Enterprise AI is often treated as a model problem, but production deployments can succeed or fail on whether the network can carry synchronized, low-latency, high-volume traffic without losing control.
Mistic RAT is the latest reminder that ransomware often begins long before encryption, inside a market where footholds can be traded across multiple criminal crews.
A digital twin is only as truthful as the telemetry behind it, and AI can make forged inputs easier to scale without changing the core problem: trust.
A paused internal AI program shows how raw telemetry, broad access, and weak control design can turn workplace data into an internal risk surface.
A public victim listing can be a threat signal, not a verified breach, and that distinction matters when the named organization handles medical and billing records.
Digital infrastructure is no longer just a cost center: when cloud, data centers, and AI scale together, sustainability becomes a measurable operating problem with financial and governance consequences.
An internal AI training program built on employee mouse, click, and keystroke data has been paused after a data exposure, showing how quickly behavioral telemetry can turn into a sensitive security asset.
An alleged Aurora intrusion against Corporación Primax S.A. is a reminder that extortion claims matter most when they intersect with large, geographically spread operations.
A recent threat-hunting piece built around ANY.RUN research underscores a simple problem: some suspicious activity never becomes an alert, so defenders have to look for behavior, not just notifications.
A manipulation attack does not have to stop a plant to do damage - it can quietly distort the data operators trust, turning process visibility into a false sense of safety.
Using token consumption to drive AI adoption can create a leaderboard for spending, not a scorecard for value.