Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Falcon Exposure Management ExPRT.AI: Demo Drill Down

Most vulnerability tools flood teams with static scores and long lists but ExPRT.AI changes the game by predicting what adversaries are most likely to exploit. This demo drill down shows how ExPRT.AI dynamically scores risk across asset types, network exposures, and third-party findings. You’ll see how it re-prioritizes vulnerabilities based on real-world telemetry, attacker behavior, and environmental context including a Tenable example.

Why Hosting LLMs On-Prem Doesn't Eliminate AI Risks [And What to do About It]

As AI steadily percolated into a growing number of use cases, adopting it has been a rollercoaster of confusion, chaos, and conundrums. One of the key concerns around AI adoption are the added risks. Issues like sensitive data leakage, AI hallucinations, inability to implement access control, and data breaches lurk the the cloud where LLMs are deployed.

Can AI Prevent Fraud Without Interfering with Your Privacy?

Fraudsters are getting craftier, but fortunately, the technology against them is becoming more intelligent as well. The question on everyone's mind is, how can we apprehend the bad guys without becoming Big Brother? You may be surprised at the answer. The idea of fraud detection has been synonymous with gathering as much information as possible about all people. It was as though there was a security camera in every room just in case. However, AI is turning the tables, and it is, in fact, turning things more private rather than less.

Kenton Varda on Safe AI-Assisted Coding and the Power of Cloudflare Workers

In this episode, host João Tomé is joined by Kenton Varda, Principal Engineer at Cloudflare, for a wide-ranging conversation about AI, code, and the evolution of Internet development. Timestamps: Kenton shares how a real-world project shifted his view from AI skepticism to seeing the promise of AI-assisted coding, while emphasizing the need for strong human review, especially for security. The episode also goes into the architecture of Cloudflare Workers and its first months, Durable Objects, and the vision of the Internet as one programmable computer: “the network is the computer”.

Securing the Model Context Protocol (MCP): A Deep Dive into Emerging AI Risks

In 2025, the rise of autonomous agents and developer-integrated copilots has introduced an exciting new interface paradigm: the Model Context Protocol (MCP). Originally proposed by Anthropic, MCP has quickly become the de facto open standard for allowing language models to securely interact with external tools, APIs, databases, and services. But as enterprise adoption surges, so do the risks - both novel and unanticipated.

CMMC readiness: How AI-powered platforms accelerate DoD compliance

Defense contractors and organizations involved in Department of Defense (DoD) projects are facing growing pressure to comply with stringent cybersecurity standards. The Cybersecurity Maturity Model Certification (CMMC) represents a transformative initiative aimed at enhancing the security posture across the defense industrial base. As organizations embark on this compliance journey, AI-powered platforms are emerging as critical enablers to accelerate CMMC readiness.

How AI Can Reduce Alert Fatigue in Your SOC

Alert fatigue is a common phenomenon in Security Operations Centers (SOCs). It’s the digital equivalent of crying wolf. As SOCs are flooded with a relentless stream of alerts—many of which are low priority or false positives—it becomes increasingly difficult to identify truly critical security threats. Analysts are stuck spending countless hours verifying, contextualizing, analyzing, and acting on information, often at the cost of missing out on critical alerts.

Reclaiming analyst time: Smarter investigations with AI in defence

How the MOD can reduce investigation fatigue and boost operational efficiency Security analysts at the UK Ministry of Defence (MOD) — and everywhere — face an overwhelming challenge: They can receive thousands of alerts daily, and distinguishing genuine threats from false positives in a timely fashion has become nearly impossible without technological intervention.