Cybersecurity AI
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Trump signs scaled-back AI cybersecurity order
Trump signs scaled-back AI cybersecurity order The federal government will only have 30 days at best to review new models. On Tuesday, President Trump signed an executive order calling for the creation of a framework designed to give the federal government the capability to evaluate AI models.
Conan O'Brien is hosting educational videos for an AI cybersecurity company
Conan O'Brien is hosting educational videos for an AI cybersecurity company At long last, a corporate training you might actually enjoy. Cybersecurity AI company Adaptive Security has partnered with famed comedian Conan O'Brien for a 15-part educational video series. These training videos will help Adaptive's clients and their employees to navigate threats such as phishing and deepfakes.
Palo Alto raises annual forecasts on strong AI cybersecurity demand, shares surge
Palo Alto raises annual forecasts on strong AI cybersecurity demand, shares surge June 2 : Palo Alto Networks raised its annual revenue and profit forecast on Tuesday, as enterprises increased spending on cloud, identity and AI-driven cybersecurity products amid a rising threat landscape, sending shares up 7.4 per cent in extended trading. Here are some details on the results: • Santa Clara, California-based Palo Alto expects revenue of $11.415 billion to $11.425 billion for fiscal 2026,...
Donald Trump passes AI Cybersecurity order, days after saying it will hurt US companies
President Donald Trump has signed an executive order seeking early government access for the most advanced AI models to weigh cybersecurity risks and protect critical infrastructure. The executive order comes as models like Anthropic’s Mythos have spooked government and Wall Street over security concerns. In simple words, the AI executive order establishes a framework for the US government to vet the national security risks of the most advanced AI systems before their public release.
A New Framework for Cybersecurity Refusals in AI Agents
Announce Type: new Abstract: Agentic scaffolds have dramatically improved LLM performance on complex, long-horizon tasks, yielding both broad benefits and amplified risks in domains like cybersecurity. Existing benchmarks for AI agents in cybersecurity focus mainly on measuring proficiency--how effectively agents can complete offensive security tasks--but neglect a critical question: when and how should agents refuse harmful requests? We present the first framework for establishing refusal...
Organizational Adaptation to Generative AI in Cybersecurity
arXiv:2506.12060v2 Announce Type: replace Abstract: Cybersecurity organizations are adapting to GenAI integration through modified frameworks and hybrid operational processes, with success influenced by existing security maturity, regulatory requirements, and investments in human capital and infrastructure. This qualitative research employs systematic document analysis and comparative case study methodology to examine how 25 studies from 2022 to 2025 document organizational adaptation of...
Palo Alto Networks pops 12% on earnings beat as AI fuels cybersecurity urgency
Palo Alto Networks surpassed Wall Street's fiscal third-quarter results as artificial intelligence threats drive demand for sophisticated cybersecurity tools. Here's how the company did versus LSEG estimates: - Earnings per share: 85 cents adjusted vs. 80 cents expected - Revenue: $3.00 billion vs. $2.94 billion expected Revenue grew 31% from a year ago, including $388 million from its recent CyberArk and Chronosphere acquisitions, the cybersecurity company said. The company reported a net...
CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capabilities
Announce Type: new Abstract: AI has the potential to transform cybersecurity by enabling systems that can autonomously detect, analyze, and remediate software vulnerabilities. However, existing cybersecurity evaluations of AI systems are limited in scale or scope, and fail to capture the end-to-end lifecycle of real-world software vulnerability discovery and remediation. To address this gap, we propose CyberGym-E2E, a large-scale and realistic end-to-end cybersecurity benchmark that...
Trump administration to ask US AI firms to voluntarily submit models for cybersecurity tests
Trump administration to ask US AI firms to voluntarily submit models for cybersecurity tests June 2 : The Trump administration will ask leading AI developers to voluntarily submit their most capable models for government cybersecurity tests before releasing them to the public, according to an executive order released on Tuesday, as security fears mount in Washington over powerful new AI systems such as Anthropic's Mythos. U.S. President Donald Trump signed an executive order that directs the...
Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity?
arXiv:2605.28334v2 Announce Type: replace Abstract: What is the best harness for cybersecurity AI? Cybersecurity systems are converging on a single execution scaffold per agent, an iterative shell loop driven by a Large Language Model (LLM). However, scaffolds are not interchangeable, rarely interoperable, and no single scaffold dominates across all challenge types.