Search results for nist-risk-management-lifecycle | Breaking Cybersecurity News | The Hacker News

Identity security fabric (ISF) is a unified architectural framework that brings together disparate identity capabilities. Through ISF, identity governance and administration (IGA), access management (AM), privileged access management (PAM), and identity threat detection and response (ITDR) are all integrated into a single, cohesive control plane. Building on Gartner’s definition of “ identity fabric ,” identity security fabric takes a more proactive approach, securing all identity types (human, machine, and AI agents) across on-prem, hybrid, multi-cloud, and complex IT environments. Why identity security fabric matters now As cyberattacks become more prevalent and sophisticated, traditional approaches characterized by siloed identity tools can’t keep pace with evolving threats. Today’s rapidly expanding attack surface is driven primarily by non-human identities (NHIs), including service accounts, API keys, and AI agents. Fragmented point solutions weaken an organization’s overall ...

Human identities management and control is pretty well done with its set of dedicated tools, frameworks, and best practices. This is a very different world when it comes to Non-human identities also referred to as machine identities. GitGuardian’s end-to-end NHI security platform is here to close the gap. Enterprises are Losing Track of Their Machine Identities Machine identities–service accounts, API keys, bots, automation, and workload identities–that now outnumber humans by up to 100:1 are in fact a massive blind spot in companies' security landscape: Without robust governance, NHIs become a prime target for attackers. Orphaned credentials, over-privileged accounts, and “zombie” secrets are proliferating—especially as organizations accelerate cloud adoption, integrate AI-powered agents, and automate their infrastructure . Secrets Sprawl: The New Attack Surface GitGuardian’s research shows that 70% of valid secrets detected in public repositories in 2022 remained active in ...

Artificial intelligence (AI) holds tremendous promise for improving cyber defense and making the lives of security practitioners easier. It can help teams cut through alert fatigue, spot patterns faster, and bring a level of scale that human analysts alone can’t match. But realizing that potential depends on securing the systems that make it possible. Every organization experimenting with AI in security operations is, knowingly or not, expanding its attack surface. Without clear governance, strong identity controls, and visibility into how AI makes its decisions, even well-intentioned deployments can create risk faster than they reduce it. To truly benefit from AI, defenders need to approach securing it with the same rigor they apply to any other critical system. That means establishing trust in the data it learns from, accountability for the actions it takes, and oversight for the outcomes it produces. When secured correctly, AI can amplify human capability instead of replacing it t...

When organizations start incorporating cybersecurity regulations and cyber incident reporting requirements into their security protocols, it's essential for them to establish comprehensive plans for preparation, mitigation, and response to potential threats. At the heart of your business lies your operational technology and critical systems. This places them at the forefront of cybercriminal interest, as they seek to exploit vulnerabilities, compromise your data, and demand ransoms. In today's landscape, characterized by the ever-present risk of ransomware attacks and the challenges posed by fragmented security solutions, safeguarding your organization is paramount. This is where  The National Institute of Standards and Technology (NIST) advocates  for the development of resilient, reliable security systems capable of foreseeing, enduring, and rebounding from cyberattacks.  In this guide, we'll explore strategies to fortify your defenses against cyber threats and ensur...

AI agents promise to automate everything from financial reconciliations to incident response. Yet every time an AI agent spins up a workflow, it has to authenticate somewhere; often with a high-privilege API key, OAuth token, or service account that defenders can’t easily see. These “invisible” non-human identities (NHIs) now outnumber human accounts in most cloud environments, and they have become one of the ripest targets for attackers. Astrix’s Field CTO Jonathan Sander put it bluntly in a recent Hacker News webinar : “One dangerous habit we’ve had for a long time is trusting application logic to act as the guardrails. That doesn’t work when your AI agent is powered by LLMs that don’t stop and think when they’re about to do something wrong. They just do it.” Why AI Agents Redefine Identity Risk Autonomy changes everything: An AI agent can chain multiple API calls and modify data without a human in the loop. If the underlying credential is exposed or overprivileged, each addit...

Introduction Cyber threats targeting supply chains have become a growing concern for businesses across industries. As companies continue to expand their reliance on third-party vendors, cloud-based services, and global logistics networks, cybercriminals are exploiting vulnerabilities within these interconnected systems to launch attacks. By first infiltrating a third-party vendor with undetected security gaps, attackers can establish a foothold, leveraging these weaknesses to penetrate the primary business partners’ network. From there, they move laterally through critical systems, ultimately gaining access to sensitive data, financial assets, intellectual property, or even operational controls. Recent high-profile breaches like the 2024 ransomware attack that hit Change Healthcare, one of the world’s largest health payment processing companies, demonstrate how attackers disrupted supply chain operations stealing up to 6TB of millions of patients’ protected health information (PHI)....

High-quality cybersecurity posture is typically regarded as the exclusive domain of the large and heavy resourced enterprises – those who can afford a multi-product security stack and a skilled security team to operate it. This implies a grave risk to all organizations who are not part of this group, since the modern threat landscape applies to all, regardless of size and vertical. What is less commonly known is that by following basic and well-defined practices and wise security product choices, any organization can level up its defenses to a much higher standard. "At the end of the day it comes down to strategic planning," says Eyal Gruner, CEO and co-founder of Cynet, "rather than thinking in term of specific product or need, zoom out and breakdown the challenge to its logical parts – what do you need to do proactively on an on-going basis, while you're under attack and when you manage a recovery process." From the various frameworks of security b...

In today's business environment, data is what matters most. It matters to organizations that monetize it into operational insights and optimisations, and it matters the threat actors that relentlessly seek to achieve similar monetisation by compromising it. In the very common scenario in which organisation A provides services to organization B, it’s imperative for the latter to be absolutely sure that the former handles its data in the most secure way. While there’s no one-size-fits-all in cybersecurity, there are various frameworks that provide robust guidelines for organizations to see if the security controls in place indeed address their needs. NIST cybersecurity framework is a good example of such guidelines. There are industry specific standards, such as HIPPA for healthcare and PCI-DSS for credit card processing. However, in recent years, SOC 2 is gaining momentum in the US as a general standard for all organizations that store or process data for consumers and busi...

In the era of rapidly advancing artificial intelligence (AI) and cloud technologies, organizations are increasingly implementing security measures to protect sensitive data and ensure regulatory compliance. Among these measures, AI-SPM (AI Security Posture Management) solutions have gained traction to secure AI pipelines, sensitive data assets, and the overall AI ecosystem. These solutions help organizations identify risks, control security policies, and protect data and algorithms critical to their operations.  However, not all AI-SPM tools are created equal. When evaluating potential solutions, organizations often struggle to pinpoint which questions to ask to make an informed decision. To help you navigate this complex space, here are five critical questions every organization should ask when selecting an AI-SPM solution: 1: Does the solution offer comprehensive visibility and control over AI and associated data risk? With the proliferation of AI models across enterprises, m...

A critical security vulnerability has been disclosed in SailPoint's IdentityIQ identity and access management (IAM) software that allows unauthorized access to content stored within the application directory. The flaw, tracked as CVE-2024-10905 , has a CVSS score of 10.0, indicating maximum severity. It affects IdentityIQ versions 8.2. 8.3, 8.4, and other previous versions. IdentityIQ "allows HTTP access to static content in the IdentityIQ application directory that should be protected," according to a description of the flaw on NIST's National Vulnerability Database (NVD). The vulnerability has been characterized as a case of improper handling of file names that identify virtual resources ( CWE-66 ), which could be abused to read otherwise inaccessible files. In an alert of its own, SailPoint said it has "released e-fixes for each impacted and supported version of IdentityIQ." The exact list of versions impacted by CVE-2024-10905 is mentioned below...