5 vibe coding security lessons
Vibe-coded apps that make it to production can be a minefield for security teams. Here are key takeaways for your AppSec team.
5 vibe coding security lessons
Shai-hulud npm attack: What you need to know
RL researchers detected the first self-replicating worm that compromised npm packages with cloud token-stealing malware. Here's what you need to know.
Why 'security as by-product’ can't replace controls
Built-in security can play a role — and fits with the Secure by Design concept — but robust security controls remain essential.
ASM and the attack surface: 10 key risk factors
Attack surface management (ASM) isn’t just another buzzword. It represents a fundamental shift in security strategy with risk on the rise.
Command Zero & RL: Accelerating SOC Defense
Discover how Command Zero and ReversingLabs integrate to speed SOC investigations, cut false positives, and deliver high‑fidelity cyber intelligence.
The Postmark MCP server attack: 5 key takeaways
A malicious Model Context Protocol package was found in the wild last week. Here are lessons from the compromise of the AI interface tool.
Hunting SharpHounds with Spectra Analyze
ReversingLabs’ Advanced Search is a powerful feature that can gather related samples for threat hunting in your environment. Here's how.
The call for funding of open-source platforms
Funding of the OSS ecosystem has reached a crisis as threat actors increasingly target weaknesses in infrastructure.
FAQ: The Shai-hulud npm worm attack explained
Here's what you need to know about the discovery of the first self-replicating npm worm, which compromised packages with cloud token-stealing malware.
CVE-Genie raises stakes in the vulnerability race
While security defenders welcomed the new vulnerability-validation tool, others stress it can be just as useful for would-be attackers.
Shai-hulud attack: Don’t let worms eat DevOps
As the development community chalks up the npm worm as just another bad day, bigger questions remain about the software supply chain ecosystem.
Deadlines vs. secure code: How AppSec can cope
AI coding and other modern development practices mean flawed code will continue to ship. Here are key recommendations for managing software risk.
CISA’s SBOM standards: Beyond checkbox security
The new guidance would raise the bar for software vendors, who will need to ensure the SBOMs they generate are more detailed and machine-readable.
How AI coding can learn to do secure software
If you train ML models, they can learn to write more secure code. But the quality of the training data is only as good as your AppSec tooling.
Trustworthy AI is key: 9 key threat categories
CSA’s AI Controls Matrix can help development and AppSec teams distill priorities for securing the AI software supply chain.