Breach and Attack Simulation | Breaking Cybersecurity News | The Hacker News

Cybersecurity involves both playing the good guy and the bad guy. Diving deep into advanced technologies and yet also going rogue in the Dark Web. Defining technical policies and also profiling attacker behavior. Security teams cannot be focused on just ticking boxes, they need to inhabit the attacker's mindset. This is where AEV comes in. AEV (Adversarial Exposure Validation) is an advanced offense technology that mimics how adversaries will attack your system, while providing remediation strategies. It lets you discover and address how your environment can be exploited and what the impact of the exploitation could be, in a dynamic and ongoing way. In this article, we'll share everything you need to know about AEV, and how your team can leverage it to build continuous resilience against attacks. What is AEV? According to the Gartner® Market Guide for Adversarial Exposure Validation (March 2025), AEV is defined as "technologies that deliver consistent, continuous, and automated ...

It comes as no surprise that today's cyber threats are orders of magnitude more complex than those of the past. And the ever-evolving tactics that attackers use demand the adoption of better, more holistic and consolidated ways to meet this non-stop challenge. Security teams constantly look for ways to reduce risk while improving security posture, but many approaches offer piecemeal solutions – zeroing in on one particular element of the evolving threat landscape challenge – missing the forest for the trees.  In the last few years, Exposure Management has become known as a comprehensive way of reigning in the chaos, giving organizations a true fighting chance to reduce risk and improve posture. In this article I'll cover what Exposure Management is, how it stacks up against some alternative approaches and why building an Exposure Management program should be on  your 2024 to-do list. What is Exposure Mana...

Picture a cybersecurity landscape where defenses are impenetrable, and threats are nothing more than mere disturbances deflected by a strong shield. Sadly, this image of fortitude remains a pipe dream despite its comforting nature. In the security world, preparedness is not just a luxury but a necessity. In this context, Mike Tyson's famous adage, "Everyone has a plan until they get punched in the face," lends itself to our arena - cyber defenses must be battle-tested to stand a chance. Tyson's words capture the paradox of readiness in cybersecurity: too often, untested cyber defenses can create a false sense of security, leading to dire consequences when real threats land a blow. This is where Breach and Attack Simulation (BAS), a proactive tool in any organization's cybersecurity arsenal, comes into play. When Cybersecurity Meets the Punch - The Assumption Problem Assumptions are the hidden icebergs in cybersecurity's vast ocean. Although we might believ...

Artificial intelligence is driving a massive shift in enterprise productivity, from GitHub Copilot's code completions to chatbots that mine internal knowledge bases for instant answers. Each new agent must authenticate to other services, quietly swelling the population of non‑human identities (NHIs) across corporate clouds. That population is already overwhelming the enterprise: many companies now juggle at least 45 machine identities for every human user . Service accounts, CI/CD bots, containers, and AI agents all need secrets, most commonly in the form of API keys, tokens, or certificates, to connect securely to other systems to do their work. GitGuardian's State of Secrets Sprawl 2025 report reveals the cost of this sprawl: over 23.7 million secrets surfaced on public GitHub in 2024 alone. And instead of making the situation better, repositories with Copilot enabled the leak of secrets 40 percent more often .  NHIs Are Not People Unlike human beings logging into systems, ...