Experimental Evaluation of Security Attacks on Self-Driving Car Platforms

Deep learning-based perception pipelines in autonomous ground vehicles are vulnerable to both adversarial manipulation and network-layer disruption. We present a systematic, on-hardware experimental evaluation of five attack classes: FGSM, PGD, man-in-the-middle MitM, denial-of-service DoS, and...

RSAC 2026: Tag in a Partner for the AI Security Showdown

Legacy security wasn't built for autonomous AI. See how Akamai partners are stepping into the ring to build trust and secure the agentic enterprise...

Highly Autonomous Cyber-Capable Agents: Anticipating Capabilities, Tactics, and Strategic Implications

This report introduces the concept of "Highly Autonomous Cyber-Capable Agents" HACCAs, AI systems capable of autonomously conducting multi-stage cyber campaigns at a level comparable to today's top criminal hacking groups or state-affiliated threat actors, and analyzes the security implications o...

Researchers Trick Perplexity's Comet AI Browser Into Phishing Scam in Under Four Minutes

Agentic web browsers that leverage artificial intelligence AI capabilities to autonomously execute actions across multiple websites on behalf of a user could be trained and tricked into falling prey to phishing and scam traps. The attack, at its core, takes advantage of AI browsers' tendency to...

Agentic AI security: Why you need to know about autonomous agents now

Agentic AI is making headlines worldwide for its potential force-multiplying capabilities, and organizations are understandably intrigued by how it can improve throughput and capabilities. However, as with any technological revolution, unforeseen issues are inevitable, and agentic AI is no...

ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation

Advanced Persistent Threats APTs pose critical challenges to modern cybersecurity due to their multi-stage and stealthy nature. While provenance-based detection approaches show promise in capturing causal attack semantics, current threat provenance practices face two paradoxical issues: 1 expert...

How AI Assistants are Moving the Security Goalposts

AI-based assistants or "agents" -- autonomous programs that have access to the user's computer, files, online services and can automate virtually any task -- are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, thes...

Anthropic and the Pentagon

OpenAI is in and Anthropic is out as a supplier of AI technology for the US defense department. This news caps a week of bluster by the highest officials in the US government towards some of the wealthiest titans of the big tech industry, and the overhanging specter of the existential risks posed...

Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents

Autonomous offensive agents often fail to transfer beyond the networks on which they are trained. We isolate a minimal but fundamental shift -- unseen host/subnet IP reassignment in an otherwise fixed enterprise scenario -- and evaluate attacker generalization in the NetSecGame environment. Agent...

Before You Hand over the Wheel: Evaluating LLMs for Security Incident Analysis

Security incident analysis SIA poses a major challenge for security operations centers, which must manage overwhelming alert volumes, large and diverse data sources, complex toolchains, and limited analyst expertise. These difficulties intensify because incidents evolve dynamically and require...

CVE-2026-0869

Authentication bypass in Brocade ASCG 3.4.0 Could allow an unauthorized user to perform ASCG operations related to Brocade Support LinkBSL and streaming configuration. and could even disable the ASCG application or disable use of BSL data collection on Brocade switches within the fabric...

SPARTAN

SPARTAN v2.0 — Autonomous Security Audit & Exploit Agent...

AWE: Adaptive Agents for Dynamic Web Penetration Testing

Modern web applications are increasingly produced through AI-assisted development and rapid no-code deployment pipelines, widening the gap between accelerating software velocity and the limited adaptability of existing security tooling. Pattern-driven scanners fail to reason about novel contexts,...

RedTeam-MCP

🔴 RedTeam-MCP AI-Powered Autonomous Red Team Framework vi...

Pentagon Designates Anthropic Supply Chain Risk Over AI Military Dispute

Anthropic on Friday hit back after U.S. Secretary of Defense Pete Hegseth directed the Pentagon to designate the artificial intelligence AI upstart as a "supply chain risk." "This action follows months of negotiations that reached an impasse over two exceptions we requested to the lawful use of o...

LLMs Generate Predictable Passwords

LLMs are bad at generating passwords: There are strong noticeable patterns among these 50 passwords that can be seen easily: All of the passwords start with a letter, usually uppercase G, almost always followed by the digit 7. Character choices are highly uneven ­ for example, L , 9, m, 2, $ and...

Autonomous Endpoint Management Isn’t Just Efficiency, It’s a Security Imperative

Autonomous Endpoint Management cuts exposure time by matching patch speed to attacker breakout timelines, reducing risk, workload delays, and breach costs...

Scaling security operations with Microsoft Defender autonomous defense and expert-led services

Today’s security leaders are operating in an environment of truncated cyberattack timelines with aging defenses built for slower, linear cyberthreats that can no longer keep pace with advanced cyberthreats. AI-powered threat actors now use social engineering and malware that adapt in real time,...

OpenClaw: What is it and can you use it safely?

An AI tool with a funny name has caused quite a commotion as of late—including some allegations of machine consciousness—so here is a breakdown on OpenClaw. Launched in November 2025, OpenClaw is an open-source, autonomous artificial intelligence AI agent that was made to run locally on your own...

Understanding Human-AI Collaboration in Cybersecurity Competitions

Capture-the-Flag CTF competitions are increasingly becoming a testbed for evaluating AI capabilities at solving security tasks, due to the controlled environments and objective success criteria. Existing evaluations have focused on how successful AI is at solving CTF challenges in isolation from...