Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How AI is boosting Automation Processes

Artificial intelligence seemingly came out of nowhere a couple of years ago, and now most of us use it in some capacity, especially if we are business owners, but the fact is, AI did not really come out of nowhere - it was years in the development and the next natural step to technology and automation processes that were already in place.

How Do Bomb Disposal Robots Handle Extreme Stress?

When you hear stress, you are more likely to imagine deadlines, a stressful conversation or even a flat tire on your way to a very important meeting. But what about being constructed just to get into circumstances where one misstep would spell disaster. That is what bomb disposal robots deal with on a day-to-day basis-machines that have to confront something that most humans would prefer to avoid.

Ensuring Institutional AI Ownership With the AI Compliance Officer

‍Artificial intelligence (AI) systems and generative AI (GenAI) tools have already been embedded across enterprise operations in a myriad of ways that trigger compliance obligations, both in terms of AI-specific regulations and other reporting mandates. In many cases, this adoption is occurring informally, through employee-driven tools or AI features embedded within third-party platforms, without centralized visibility or approval.

$170k Gone in One Day - API Paid Out Money Itself #apisecurity #cybersecurity #fraud #api #ai

This isn't a data leak. This is direct financial loss. The case: Flex Pay (payment processor in India) The vulnerability: An API flaw allowed unauthorized payouts The impact: $170,000 vanished in a single day Why this matters: Most CISOs focus on data breaches. But some APIs control MONEY. If that API is vulnerable, the attacker doesn't steal data—they drain your accounts. Attackers aren't always after data. Sometimes they're after money. And financial APIs are often the most neglected from a security perspective.

Securing AI Where It Acts: Why Agents Now Define AI Risk

In the first round of the AI gold rush, most conversations about AI security centered on models: large language models, training data, hallucinations, and prompt safety. That focus made sense when AI was largely confined to generating text, images, or recommendations. But that era is already giving way to something far more consequential.

What is Vibe Coding? #vibecoding #aisecurity #coding

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

Why Protecto Uses Tokens Instead of Synthetic Data

On the surface, synthetic data looks like the safer option. It’s not real. It doesn’t point to an actual person. It can be reversed if needed. And it keeps systems running without exposing sensitive values. That logic makes sense. Until you look at how systems actually behave. Protecto supports both reversible synthetic data and tokenization. Referential integrity can be preserved either way. Mapping back is not the hard part. The difference is not whether you can recover the original value.