Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Failed Your CMMC Assessment? Remediation and Retesting

CMMC is a major cost and time commitment, often months long and may cost tens or hundreds of thousands of dollars. A C3PAO checks 320 items tied to 110 NIST SP 800-171 controls. Outcomes: full approval, conditional approval with POA&Ms (usually 180 days), or denial. If denied, fix control gaps, update the SSP and evidence, then reapply. Use proper tools and avoid assessor conflict. CMMC is unquestionably a huge investment.

4 Simple Habits To Stop Email Hackers

Stopping email hackers requires adopting four specific habits: letting AI filter inbound messages, identifying manufactured urgency, verifying requests through second channels, and locking accounts with passkeys. These zero-skill routines block the credential-harvesting tactics that compromise shopping, streaming, and financial profiles. Consider a content creator receiving a brand partnership offer from a recognizable sportswear company. The logo perfectly matches the corporate website, the tone sounds professional, and the message includes a simple link labeled to review the contract.

4 Easy Standards To Protect Team Data

Protecting team data starts at the workstation level, moving beyond access logs or password policies to secure the physical environment each employee operates in every day. Inconsistency creates immediate exposure points across the office because varying screen habits and device positions generate discrete gaps that software policies cannot close alone.

4 Easy Steps To Secure Mobile Field Work

A field tech at a customer site can log into a scheduling app, pull up an invoice, and snap a site photo in under five minutes while connected to open Wi-Fi. That mobile device holds customer addresses, signed work orders, access codes, account credentials, and job-site photos. Unlike an office workstation that sits behind a firewall and never leaves the building, a field device moves through unfamiliar networks and high-risk physical spaces daily.

Is an AI SOC Better Than MDR? What Security Teams Should Weigh

Security teams are expected to investigate more alerts than they have people to handle. IBM's 2025 Cost of a Data Breach Report puts a number on what that gap costs: organizations take an average of 158 days to identify a breach, and a further 83 days to contain it. That is 241 days of exposure, the fastest pace in nine years, and still measured in months. For most SOC teams, the bottleneck was never finding threats. It was having enough people to do anything about them.

Top tips: Your work laptop has a life after office hours

Top tips is a weekly column where we highlight what’s trending in the tech world and share ways to stay ahead. This week, we’re taking a moment to talk about what goes on between you, your work laptop and the IT team once you log off for the day. You shut your laptop at the end of the workday. As far as you're concerned, work is over. But for your IT team, their work might just be getting started.

Thousands of Exposed Fuel Gauges Just Left the Internet

Most of the exposure research we publish goes one way. We count some category of internet-exposed devices, the number is bigger than you hoped, and it is climbing. Webcams. Industrial control systems. NTP servers old enough to vote. The story is almost always "there is more of this exposed than there should be, and it is getting worse.".

Access Control Models Explained for Modern Security Teams

Most guides tell security teams to pick an access control model and move on. That advice breaks down in real environments, because the hard part isn't naming the model, it's keeping least privilege, auditability, and enforcement aligned as identities, attributes, and relationships keep changing across SaaS, cloud, endpoints, and network gear. In practice, the winners are the teams that treat access control as an operating discipline, not a diagram in an architecture deck.

Assessing Third-Party AI Vendor Risk Before It Becomes a Problem

Every SaaS tool your organization onboards now carries a hidden layer of AI risk. The chatbot on your CRM, the transcription service your sales team runs, the code assistant embedded in your IDE. Each one processes company data through models you did not build, in ways your vendor questionnaire was not written to catch. Traditional third-party risk management was designed to evaluate infrastructure, access controls, and data handling.

Monitoring AI Agent Behavior in Production

Monitoring AI agents in production is a fundamentally different problem from monitoring traditional software or even generative AI models. Because agents run autonomously, chain multi-step reasoning across tools and systems, and change behavior as their underlying models evolve, standard software metrics like uptime and CPU utilization miss almost everything that matters. ‍