Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

DRTV Agency Contracts: Risk Mitigation Guide for CMOs

CMOs managing high-stakes advertising campaigns often find themselves accountable for every dollar spent on direct response television. Scrutiny comes quickly when a commercial underperforms or a media buy yields fewer leads than anticipated. One overlooked contract clause or missed reporting standard can expose the brand to unnecessary financial risk. The best shield against budget surprises and campaign breakdowns is a contract tailored to the realities of DRTV advertising, with safeguards built around performance, compensation, intellectual property, and exit options.

The Best AI Agent Risk Quantification Tools in 2026

Search for agent risk quantification tools and most results are risk assessment tools. Questionnaires, maturity scores, compliance trackers and templates, all producing an ordinal rating. A rating ranks one agent against another. It does not tell anybody what to spend, what to insure or what to stop. ‍ The separating question is whether the output arrives in currency.

The New Frontier of Malicious AI: What Underground Forums Tell Us About the Evolution of Cybercrime Tradecraft

Public discussion of AI-enabled cybercrime tends to lean heavily on vendor marketing and speculation about future capabilities. We wanted to measure what criminal practitioners are actually discussing, what tools they prefer, and where their attention is shifting.

The Best Cyber Risk Register Software in 2026

Most register comparisons rank products on fields, workflow and integrations. A more useful test is which decisions the register can settle, because a register that cannot settle a decision is a record of one made elsewhere. ‍ Five decisions get asked of a register. Which risk to treat first, how much to spend treating it, whether to accept it, whether to transfer it, and whether the treatment worked.

Mapping AI Interaction Monitoring to the OWASP Top 10 for LLMs

Interaction monitoring covers four of the ten risks in the 2025 Top 10 for LLMs and generative AI applications well, three partially and three not at all. The split is not arbitrary, and the line it follows tells a buyer more than the coverage count does. ‍ Monitoring observes systems being used. Several entries on the list describe defects in how a system was built, which no amount of observation at the point of use will surface.

Governing AI Coding Agents on Developer Laptops

A coding agent on a laptop runs as the developer. It reads the same keychain, carries the same tokens and appears in every downstream log under the same name. The identity record is accurate and it cannot answer the question governance needs answered. ‍ Every control keyed to identity therefore operates on a merged subject.

Cybersecurity Budget Planning for 2027

A budget presented as a total invites one question with two answers, approve or reduce. A budget presented as a ranked list invites a different question, which is where to draw the line, and that is a decision a board can make rather than a negotiation it can only win or lose. ‍ The ranking comes from one calculation per candidate control. Expected loss before, minus expected loss after, divided by cost. Order the list by that ratio and the budget builds itself, including the part that says stop.

DragonForce Ransomware Profile: From Affiliate Program to Cybercrime Cartel

When people discuss DragonForce, two distinct names usually come up: DragonForce Ransomware and DragonForce Malaysia. To set the record straight, the ransomware operation isn't necessarily the same entity as DragonForce Malaysia. DragonForce Malaysia operates as a politically driven hacktivist collective known for pro-Palestinian campaigns, defacing websites, launching DDoS attacks, and leaking data.

How AI Audit Trail Confidence Grows With Each Connected Source

An audit trail is usually judged by how much it contains. The more useful question is how many innocent explanations it rules out, because a record that admits a benign reading supports an assertion rather than a conclusion. ‍ Each source added to a trail removes an alternative explanation rather than adding detail. Confidence therefore climbs in steps rather than smoothly, and three sources of the same kind are worth less than two of different kinds. ‍

The Best AI Governance Platforms for Mid-Market Companies

Enterprise AI governance guidance assumes a review board that meets monthly, an independent validation function, an impact assessment per system and somebody whose job title contains the words AI and compliance. A company of three hundred people has none of those and is governed by the same regulations. ‍ The difference runs deeper than budget. Enterprise programs are assessment-led, which scales with headcount because every system needs an assessor.