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How to Accelerate Vendor Risk Assessments in the Age of SaaS Sprawl

How to Accelerate Vendor Risk Assessments in the Age of SaaS Sprawl

Mar 21, 2024 SaaS Security / Endpoint Security
In today's digital-first business environment dominated by SaaS applications, organizations increasingly depend on third-party vendors for essential cloud services and software solutions. As more vendors and services are added to the mix, the complexity and potential vulnerabilities within the  SaaS supply chain  snowball quickly. That's why effective vendor risk management (VRM) is a critical strategy in identifying, assessing, and mitigating risks to protect organizational assets and data integrity. Meanwhile, common approaches to vendor risk assessments are too slow and static for the modern world of SaaS. Most organizations have simply adapted their legacy evaluation techniques for on-premise software to apply to SaaS providers. This not only creates massive bottlenecks, but also causes organizations to inadvertently accept far too much risk. To effectively adapt to the realities of modern work, two major aspects need to change: the timeline of initial assessment must shorte
Over 100 Malicious AI/ML Models Found on Hugging Face Platform

Over 100 Malicious AI/ML Models Found on Hugging Face Platform

Mar 04, 2024 AI Security / Vulnerability
As many as 100 malicious artificial intelligence (AI)/machine learning (ML) models have been discovered in the Hugging Face platform. These include instances where loading a  pickle file  leads to code execution, software supply chain security firm JFrog said. "The model's payload grants the attacker a shell on the compromised machine, enabling them to gain full control over victims' machines through what is commonly referred to as a 'backdoor,'" senior security researcher David Cohen  said . "This silent infiltration could potentially grant access to critical internal systems and pave the way for large-scale data breaches or even corporate espionage, impacting not just individual users but potentially entire organizations across the globe, all while leaving victims utterly unaware of their compromised state." Specifically, the rogue model initiates a reverse shell connection to 210.117.212[.]93, an IP address that belongs to the Korea Research
Three Tips to Protect Your Secrets from AI Accidents

Three Tips to Protect Your Secrets from AI Accidents

Feb 26, 2024 Data Privacy / Machine Learning
Last year, the Open Worldwide Application Security Project (OWASP) published multiple versions of the " OWASP Top 10 For Large Language Models ," reaching a 1.0 document in August and a 1.1 document in October. These documents not only demonstrate the rapidly evolving nature of Large Language Models, but the evolving ways in which they can be attacked and defended. We're going to talk in this article about four items in that top 10 that are most able to contribute to the accidental disclosure of secrets such as passwords, API keys, and more. We're already aware that LLMs can reveal secrets because it's happened. In early 2023, GitGuardian reported it found over 10 million secrets in public Github commits. Github's Copilot AI coding tool was trained on public commits, and in September of 2023, researchers at the University of Hong Kong published a paper on how they created an algorithm that generated 900 prompts designed to get Copilot to reveal secrets from
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Protecting Your Organization From Insider Threats - All You Need to Know

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Get practical insights and strategies to manage inadequate offboarding and insider risks effectively.
What's the Right EDR for You?

What's the Right EDR for You?

May 10, 2024Endpoint Security / Threat Detection
A guide to finding the right endpoint detection and response (EDR) solution for your business' unique needs. Cybersecurity has become an ongoing battle between hackers and small- and mid-sized businesses. Though perimeter security measures like antivirus and firewalls have traditionally served as the frontlines of defense, the battleground has shifted to endpoints. This is why endpoint detection and response (EDR) solutions now serve as critical weapons in the fight, empowering you and your organization to detect known and unknown threats, respond to them quickly, and extend the cybersecurity fight across all phases of an attack.  With the growing need to defend your devices from today's cyber threats, however, choosing the right EDR solution can be a daunting task. There are so many options and features to choose from, and not all EDR solutions are made with everyday businesses and IT teams in mind. So how do you pick the best solution for your needs? Why EDR Is a Must Because of
NIST Warns of Security and Privacy Risks from Rapid AI System Deployment

NIST Warns of Security and Privacy Risks from Rapid AI System Deployment

Jan 08, 2024 Artificial Intelligence / Cyber Security
The U.S. National Institute of Standards and Technology (NIST) is calling attention to the  privacy and security challenges  that arise as a result of increased deployment of artificial intelligence (AI) systems in recent years. "These security and privacy challenges include the potential for adversarial manipulation of training data, adversarial exploitation of model vulnerabilities to adversely affect the performance of the AI system, and even malicious manipulations, modifications or mere interaction with models to exfiltrate sensitive information about people represented in the data, about the model itself, or proprietary enterprise data," NIST  said . As AI systems become integrated into online services at a rapid pace, in part driven by the emergence of generative AI systems like OpenAI ChatGPT and Google Bard, models powering these technologies face a number of threats at various stages of the machine learning operations. These include corrupted training data, security flaw
AI Solutions Are the New Shadow IT

AI Solutions Are the New Shadow IT

Nov 22, 2023 AI Security / SaaS Security
Ambitious Employees Tout New AI Tools, Ignore Serious SaaS Security Risks Like the  SaaS shadow IT  of the past, AI is placing CISOs and cybersecurity teams in a tough but familiar spot.  Employees are covertly using AI  with little regard for established IT and cybersecurity review procedures. Considering  ChatGPT's meteoric rise to 100 million users within 60 days of launch , especially with little sales and marketing fanfare, employee-driven demand for AI tools will only escalate.  As new studies show  some workers boost productivity by 40% using generative AI , the pressure for CISOs and their teams to fast-track AI adoption — and turn a blind eye to unsanctioned AI tool usage — is intensifying.  But succumbing to these pressures can introduce serious SaaS data leakage and breach risks, particularly as employees flock to AI tools developed by small businesses, solopreneurs, and indie developers. AI Security Guide Download AppOmni's CISO Guide to AI Security - Part 2 AI e
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