Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Bug Bounty Programs (2025) | Definition, Platforms & Costs

“Tech giants pay hackers millions to hack them – on purpose.” What once sounded like a risky experiment has now become standard practice in cybersecurity. Bug bounty programs have moved from the fringes into the mainstream because traditional defenses alone can’t keep up with today’s scale and sophistication of attacks.

Optus Breach Lessons: Top 10 API Security Takeaways

In September 2022, Australia woke up to the largest data breach in its history. Optus, the country’s second-largest telecom disclosed that the personal information of nearly 10 million people had been exposed. To put that in perspective, that’s almost 40% of the entire population. Among the data spilled were 2.1 million government-issued IDs – passports, driver’s licenses, Medicare cards – the kind of information that isn’t just sensitive, but life-defining.

SCA Everywhere: Scan and Fix Open-Source Dependencies in Your IDE

Dependency issues are easiest to address when they show up directly in the development workflow. With this release, we’re bringing the full SCA workflow into the Aikido IDE extension, combining in-editor scanning with the ability to apply safe upgrades through AutoFix. Developers can detect vulnerable packages and resolve them without switching tools or breaking focus.

Cybersecurity in Healthcare: Protecting Patient Data in the Age of AI, IoMT, and Ransomware

Over the past decade, the global healthcare sector has undergone a sweeping digital transformation. Electronic Health Records (EHRs) moved to the cloud, hospitals adopted remote telemetry systems, pharmacies automated workflows, and AI-powered diagnostics entered day-to-day clinical practice. The result is a faster, more connected, and more data-rich healthcare ecosystem. But this connectivity has a cost.

Gradual by Design: What the Cloudflare Outage Reveals About Robust SASE Architecture and Operations

On November 18, 2025, a single configuration file change at Cloudflare disrupted access to large parts of the web. Around 11:20 UTC, Cloudflare’s network began returning a surge of HTTP 5xx errors. Users trying to reach services like X (formerly Twitter), ChatGPT/OpenAI, Ikea, Canva, and many others suddenly saw Cloudflare-branded error pages instead of the applications they expected. Cloudflare mitigated the issue, restored service, and published a detailed public report.

Hackers Skipped the Payment Step: BLA 4 is Pure Logic Evasion #transitionvalidation #businesslogic

Missing Transition Validation (BLA 4) is a subtle but devastating threat. It exploits the sequence of steps in your application's workflow. The flaw? Your application fails to check that Step 2 (Payment) occurred before allowing access to Step 3 (Confirmation). The attacker simply draws a line straight to the goal! This attack is: Difficult to Detect: It uses valid requests in an invalid sequence. Tightly Coupled: It's unique to your application's specific logic. You need deep, sequence-aware runtime protection.

Identity is quietly becoming the bottleneck in Automotive

Automotive programs are moving faster than many engineering teams planned for. Regulatory pressure — from UN R155/R156 (WP.29) and ISO/SAE 21434 to the forthcoming EU Cyber Resilience Act — is reshaping expectations for how identity, signing, and software integrity are managed across the entire ECU and OTA lifecycle. At the same time, SERMI is redefining workshop and diagnostic access, introducing strong authentication into processes that were previously loosely governed.

Advanced Data Tokenization: Best Practices & Trends 2025

Breaches got faster. Architectures got messier. And data stopped living in tidy tables. Modern stacks push personal and regulated data through microservices, data lakes, event streams, vector stores, and LLM prompts. Encryption still matters, but it protects containers, not behaviors. As soon as an app decrypts a record, risk comes roaring back.

19 AI Risk Leaders Driving Enterprise Transformation

‍ AI has moved from experimentation to everyday infrastructure, shaping decisions and workflows across nearly every industry. However, in the rush to harness its speed and efficiency, many enterprises adopted GenAI and other AI systems faster than they built the structures necessary to govern them. The result is an all-too-familiar pattern of powerful technology being deployed widely before its risks are fully understood, let alone managed. ‍