Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The tokenmaxxing bill is due: Take control of AI spend with SaaS Manager

A nasty shock is hitting finance leaders across every industry right now: AI token bills that run ten, twenty, even a hundred times over what they forecasted, blowing holes straight through quarterly budgets. These leaders are all asking the same questions: How could this happen if they didn't approve it? Why didn't any of their systems alert them to the spike? And most importantly, what can they do now?

The best AI lesson this summer came from watching our interns challenge AI

Unknown block type "undefined", specify a component for it in the `components.types` option Every conversation about AI and early-career employees seems to start in the same place: will it weaken foundational skills by doing too much of the work? That's a reasonable concern. It's also not the question that ended up mattering most this summer.

Scammers Can Use AI Tools to Pinpoint Your Location Based on a Photo

Scammers can use AI tools to find your location in photos you post to social media, according to researchers at McAfee. This information can then be used in targeted social engineering attacks. The researchers found that free AI models can correctly identify a photo’s location with around 90% accuracy.

DLP for AI: Protecting Sensitive Data in the Age of AI

Employees paste code into ChatGPT. They drop customer lists into Gemini for a quick summary. They upload a contract to an AI note-taker before a meeting starts. None of it feels risky in the moment. But all of it can walk sensitive data straight out of your organization. AI DLP exists to close that gap.

The EU AI Act Is Here. Is Your AI Environment Ready?

AI has moved from experimentation to operational reality. Last year saw a 50% rise in access to AI for employees, with 88% of organizations using AI in at least one business function. Competitive pressure is accelerating AI adoption. While this creates opportunity, it also creates a new level of operational risk.

The MemcycoFM Show: Ep 27 - What Is Agentic Threat Intelligence?

In the recently published blog from Memcyco titled "What Is Agentic Threat Intelligence?", we discussed agentic threat intelligence as an emerging CTI model. Bounded agents support repetitive investigation work, such as collection, enrichment, prioritization, and evidence packaging, while analysts retain control over takedown and escalation decisions. Vendor briefings are full of “agentic AI” right now. Most of them describe the same thing: faster dashboards and smarter alerts. That is not agentic threat intelligence.

TITAN AI Demo Series: How MAX Managed Questionnaires Eliminates Your Assessment Backlog

SecurityScorecard's MAX Managed Questionnaires handles your entire vendor questionnaire process end-to-end, design, outreach, response collection, and expert analysis — with no additional headcount required. In this installment of SecurityScorecard's Demo Tuesday series, see MAX Managed Questionnaires in action and what your security program looks like when your team is free to focus on risk strategy instead of assessment admin.

A broken DNSSEC rollover took down .AL. Now 1.1.1.1 tells you when validation is bypassed

On July 3, 2026, the Albanian communications authority (AKEP), the operator of the.AL country-code top-level domain (TLD) of Albania, attempted a DNSSEC key rollover. Something went wrong, resulting in DNSSEC validation failures. Any validating DNS resolver receiving these signatures was required by the DNSSEC specification to reject them and return errors to clients. That includes 1.1.1.1, the public DNS resolver operated by Cloudflare.

MCP Data Exfiltration: How AI Agents Leak Sensitive Data Through MCP Tool Calls

Model Context Protocol (MCP) is what turns an AI assistant into an AI agent. It’s the standardized bridge that lets models call real tools – read files, query databases, send messages, pull emails. That capability is the whole point. It’s also what makes MCP environments a target. Most deployments were scoped for what the agent needed to do. Not for what happens when that access is turned against the organization.