Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Detect runtime threats in Python Lambda functions with Datadog AAP

Python AWS Lambda functions are ephemeral and highly distributed, which creates security visibility gaps that traditional perimeter defenses and proxy-based controls struggle to fill. Techniques such as credential stuffing, SQL injection, and server-side request forgery (SSRF) can look like legitimate application traffic, making them difficult to identify without visibility inside the application itself.

The vulnerability flood is here. Here's what it means - and how to prepare

We can't control the pace of AI-driven vulnerability discovery, but we can control how fast we respond. Last week, Thomas Ptacek published a piece arguing that vulnerability research is cooked. His thesis: AI agents are about to drown us in a steady stream of validated, exploitable, high-severity vulnerabilities, faster than anyone can patch them. But from where I sit, the more urgent question isn't whether the flood is coming, but whether the infrastructure we depend on can absorb it.

We let OpenClaw loose on an internal network. Here's what it found

Following our article on the challenges posed by agentic AI, we gave OpenClaw access to one of our legacy networks In my previous article on OpenClaw I wrote: “Even the most ‘risk-on’ organizations with deep AI and security experience, will likely find it challenging to configure OpenClaw in a way that effectively mitigates the risk of compromise or data loss, while still retaining any productivity value.” The Red Team here at Sophos took that as ‘challenge accepted’, s

Adobe Reader zero-day vulnerability in active exploitation

On April 7, 2026, a security researcher described an Adobe Reader zero-day vulnerability that has been exploited since at least December 2025. The vulnerability allows threat actors to execute privileged Acrobat APIs via specially crafted malicious PDF files that execute obfuscated JavaScript when opened. Exploitation allows attackers to steal sensitive user and system data and to potentially launch additional attacks and remotely execute code.

Episode 12 - The Agentic SOC: Upleveling Analysts with AI Knowledge Multipliers

Richard Bejtlich sits down with Stan Kiefer, Corelight’s Senior Manager for Data Science, to discuss how AI serves as a vital "abstraction layer" and "knowledge multiplier" for security analysts. Stan explains that while AI can synthesize complex information, it remains untrustworthy without high-fidelity network data at its center to provide verifiable evidence. The episode explores the shift toward an "agentic ecosystem" and a tiered architecture where a central orchestrator manages specialized sub-agents to accelerate detection and investigation.

Modernizing threat detection with advanced ML: Corelight Sensor v.29 release highlights

Staying ahead of sophisticated attackers requires a security platform that evolves at the speed of the threat landscape. Today’s attackers are AI-enabled, increasing the number of attacks and targeting vulnerabilities more quickly than ever. That's why we are excited to announce the Corelight Sensor v.29 release, a significant step forward in our mission to provide critical detections backed by the world's best network evidence.