Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

riscosity

Illuminate AI Adoption with AIBOMS

Sep 2, 2025 By Jackson Harrower In Riscosity
An AI Bill of Materials (AIBOM) addresses this gap. It is a concise, living profile for every AI capability an organization can invoke—models, agents, SaaS features, plug‑ins, and APIs. Kept in a machine‑readable format, it serves as a practical record that can inform runtime decisions in a control plane. An AIBOM summarizes five things about each AI capability: who provides it, what it can do, what data it sees, where it runs, and how it should be treated.
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veracode

Beyond the Hype: The Veracode AI-Advantage in Application Security

Sep 2, 2025 By Joe Ariganello In Veracode
For years, the cybersecurity industry has hyped AI as a game-changer, but what vendors often delivered was basic machine learning driven or simple predefined rules. The rise of ChatGPT and similar tools dramatically reshaped the landscape, prompting vendors to hastily identify real AI use cases in their offerings.
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Ignite Creativity Using AI Image Generation Technology

Ignite Creativity Using AI Image Generation Technology

Sep 2, 2025 By SecuritySenses In SecuritySenses
In today's digital landscape, visual content has become paramount, with studies showing that posts with images receive 352% more engagement than those without. Yet, creating professional-quality visuals remains a significant challenge for many content creators, demanding substantial time, resources, and expertise. Innovative solutions like Kling AI are revolutionizing the way we create visual content. By harnessing the power of advanced artificial intelligence, creators can generate stunning, professional-grade images in minutes rather than hours.
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How Device Intelligence Detects Fraud Without Using Personal Data

How Device Intelligence Detects Fraud Without Using Personal Data

Sep 2, 2025 By SecuritySenses In SecuritySenses
Fraud tactics now evolve on an hourly cycle. For banks, fintech, digital lenders, and payments players, the question isn't whether rules still help - it's whether they adapt fast enough. Recent numbers from Alloy's 2024 Financial Fraud Statistics underscore the shift: over 50% of surveyed institutions saw business fraud rise, two-thirds reported higher consumer fraud, and generative AI could drive $40B in bank losses by 2027. It's no surprise that more than half are raising third-party spend, with three in four prioritizing identity risk capabilities.
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Shadow AI could be your organization's biggest threat.

Sep 1, 2025 By UpGuard In UpGuard
What starts as innovation (an employee testing a new AI tool) can quickly become exposure. Unsanctioned apps create data leaks, compliance issues, and an expanded attack surface. With UpGuard User Risk, security teams gain visibility into shadow AI activity, so they can detect and neutralize risks before they escalate into breaches. activity before attackers can act. Ready to see what User Risk can do for you?
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The Swiss Cheese Model of AI Security

Sep 1, 2025 By A10 Networks In A10 Networks
The Swiss Cheese Model of AI Security A10 Networks' security experts, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, explain that adequate AI security isn't a one-size-fits-all solution. They introduce the concept that security controls must be tailored to your specific data, company, and industry, as every context is unique.
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mend

Understanding Bias in Generative AI: Types, Causes & Consequences

Sep 1, 2025 By Mend.io Team In Mend
Bias in generative AI refers to the systematic errors or distortions in the information produced by generative AI models, which can lead to unfair or discriminatory outcomes. These models, trained on vast datasets from the internet, often inherit and amplify the biases present in the data, mirroring societal prejudices and inequities.
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