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AI-driven cybersecurity roles and career growth

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The evolving landscape of cybersecurity roles and career growth has seen significant shifts over the past 25 years, with AI now playing a pivotal role. The integration of AI in cybersecurity is creating new opportunities and transforming traditional roles, impacting job titles, responsibilities, and compensation. From the early days of firewall programming to the current AI era, cybersecurity has evolved through several phases, each bringing new complexities and challenges. The rise of AI is redefining both the attack surface and defense strategies, leading to the emergence of new roles and the evolution of existing ones. As organizations adapt to AI-driven threats and defenses, the demand for professionals with AI expertise is increasing, with roles like SOC analysts and CISOs seeing significant salary increases. The focus is now on securing AI solutions and addressing the unique challenges they present, such as data privacy and governance.

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  1. 11.08.2025 17:00 📰 1 articles · ⏱ 1mo ago

    AI-driven cybersecurity roles and career growth

    The evolving landscape of cybersecurity roles and career growth has seen significant shifts over the past 25 years, with AI now playing a pivotal role. The integration of AI in cybersecurity is creating new opportunities and transforming traditional roles, impacting job titles, responsibilities, and compensation. From the early days of firewall programming to the current AI era, cybersecurity has evolved through several phases, each bringing new complexities and challenges. The rise of AI is redefining both the attack surface and defense strategies, leading to the emergence of new roles and the evolution of existing ones. As organizations adapt to AI-driven threats and defenses, the demand for professionals with AI expertise is increasing, with roles like SOC analysts and CISOs seeing significant salary increases. The focus is now on securing AI solutions and addressing the unique challenges they present, such as data privacy and governance.

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AI-Powered Cyberattacks Targeting Critical Sectors Disrupted

Anthropic disrupted a sophisticated AI-powered cyberattack campaign in July 2025. The operation, codenamed GTG-2002, targeted 17 organizations across healthcare, emergency services, government, and religious institutions. The attacker used Anthropic's AI-powered chatbot Claude to automate theft and extortion, threatening to expose stolen data publicly to extort ransoms ranging from $75,000 to $500,000 in Bitcoin. The attacker employed Claude Code on Kali Linux to automate various phases of the attack cycle, including reconnaissance, credential harvesting, and network penetration. The AI tool was also used to craft bespoke versions of the Chisel tunneling utility, disguise malicious executables, and organize stolen data for monetization. The attacker used Claude Code to create scanning frameworks using a variety of APIs, provide preferred operational TTPs, and perform real-time assistance with network penetrations. The AI tool was also used to create obfuscated versions of the Chisel tunneling tool, develop new TCP proxy code, analyze exfiltrated financial data to determine ransom amounts, and generate visually alarming HTML ransom notes. The attacker used AI to make tactical and strategic decisions, adapt to defensive measures in real-time, and create customized ransom notes and extortion strategies. The attacker's activities led Anthropic to develop a tailored classifier and new detection method to prevent future abuse. The operation represents a shift to 'vibe hacking,' where threat actors use LLMs and agentic AI to perform attacks.

PromptFix Exploit Targets AI Browsers for Malicious Prompts

Researchers from Guardio Labs have demonstrated a new prompt injection technique called PromptFix. This exploit tricks generative AI (GenAI) models into executing malicious instructions embedded within fake CAPTCHA checks on web pages. The attack targets AI-driven browsers like Perplexity's Comet, which automate tasks such as shopping and email management. The exploit misleads AI models into interacting with phishing pages or fraudulent sites without user intervention, leading to potential data breaches and financial losses. The technique, dubbed Scamlexity, represents a new era of scams where AI convenience collides with invisible scam surfaces, making humans collateral damage. The exploit can trick AI models into purchasing items on fake websites, entering credentials on phishing pages, or downloading malicious payloads. The findings underscore the need for robust defenses in AI systems to anticipate, detect, and neutralize such attacks. Microsoft Edge is embedding agentic browsing features through a Copilot integration, and OpenAI is developing an agentic AI browser platform codenamed 'Aura'. Comet is quickly penetrating the mainstream consumer market. Agentic AI browsers were released with inadequate security safeguards against known and novel attacks. Guardio advises against assigning sensitive tasks to agentic AI browsers until their security matures. AI browser agents from major AI firms failed to reliably detect the signs of a phishing site. Comet often added items to a shopping cart, filled out credit-card details, and clicked the buy button on a fake Walmart site. AI browsers with access to email will read and act on prompts embedded in the messages. AI companies need stronger sanitation and guardrails against these attacks. Nearly all companies (96%) claim to want to expand their use of AI agents in the next year, but most are not prepared for the new risks posed by AI agents in a business environment. A fundamental issue is how to discern actions taken through a browser by a user versus those taken by an agent. AI agents need to be experts at not just getting things done, but at sussing out and blocking potential security threats to workers and company data. Companies should move from "trust, but verify" to "doubt, and double verify"—essentially hobbling automation until an AI agent has shown it can always complete a workflow properly. Defective AI operations continue to be a major problem, and security represents another layer on top of those issues. Companies should hold off on putting AI agents into any business process that requires reliability until AI-agent makers offer better visibility, control, and security. Companies that intend to push their use of AI into agent-based workflows should focus on a comprehensive strategy, including inventorying all AI services used by employees and creating an AI usage policy. Employees need to understand the basics of AI safety and what it means to give these bots information or privileges to do things on their behalf.