Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

TL;DR: Bazel builds fast but made security a mess. No lockfiles, no visibility, lots of manual work. Aikido now scans Bazel projects automatically, flags risky dependencies, and saves you from custom scripts and CI hacks.

Why unifying fraud, security, and compliance functions is key to resilience, trust, and agility in the age of AI-powered financial crime.

Yes—if your website collects data from individuals located in Australia, the Australian Privacy Act (APA) may apply, even if your company is not based there. This law is enforced by the Office of the Australian Information Commissioner (OAIC) and governs how “APP entities” handle personal information—including that collected by websites, apps, scripts, and third-party services.

Cybersecurity teams worldwide have been fighting against ransomware attacks on ESXi infrastructure for years. ESXi is a lightweight, bare-metal hypervisor developed by VMware that allows multiple virtual machines to run on a single physical server. ESXi is widely used in enterprise environments, often hosting virtual machines that support essential services for an entire organization.

Steganography is the art of hiding information inside a seemingly ordinary, legitimate object so that no one suspects anything is hidden. The technique T1027.003 has been around for a long time and is increasingly used by malware authors and threat actors to avoid detection. This involves hiding malicious payloads inside innocent-looking files such as images, audio, or documents. By embedding malware in these files, attackers can bypass traditional security tools that scan for obvious threats.

Large Language Models (LLMs) now power chatbots, copilots, and data agents across the enterprise. With that power comes risk: LLMs ingest and remix sensitive inputs-from customer conversations and internal docs to PHI and card data-creating new exposure paths and compliance headaches. In 2025, language model privacy is no longer a niche concern; it’s a board-level priority shaped by GDPR, HIPAA, PCI-DSS, and the EU AI Act.

In 2025, data is everywhere, in your inbox, on your phone, and flowing through a maze of corporate servers. It’s the lifeblood of business, medicine, and everyday life. Unfortunately, that makes it irresistible to thieves. Not the smash‑and‑grab burglars of old but quiet intruders who watch and learn before they start siphoning off secrets. In cybersecurity circles, this quiet theft is called data exfiltration. There’s a good reason security experts are ringing alarm bells.

Managing users in Atlassian Crowd often feels like walking a tightrope. You’re expected to ensure seamless access for every team member, revoke access the moment someone leaves, manage directory syncs, assign and revoke group permissions, and keep everything audit-ready at all times. And while Crowd gives you a central place to manage users across Jira, Confluence, Bitbucket, and more, it still largely demands manual efforts from admins.

‍Cyber risk quantification (CRQ) is the process of translating cyber intelligence, both organization-specific and external, into measurable business terms. Typical high-level outputs include Average Annual Loss (AAL), or a business's expected financial loss from cyber events, and the Annual Events Likelihood. With CRQ, cyber governance, risk, and compliance (GRC) leaders can also drill down into more granular metrics for additional, scenario-specific context.