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AI Agents Reshape Cyberattack Landscape: Prepare for Autonomous Threats
AI agents are already executing cyber attacks, evolving from noisy pentests to stealthy red team operations. Learn how to harden your defenses.
RemoteThreat: Evolving Red Teaming for Post-Compromise Scenarios
RemoteThreat introduces advanced red teaming, focusing on post-breach simulation to prepare security teams for sophisticated attacker methods.
Offensive Security Investments Surge as AI Threats Increase
Enterprises increase offensive security spending as AI-driven attacks accelerate, shifting toward continuous testing and autonomous agents.
Mindgard Secures $30M to Advance AI Security Platform
Mindgard raises $30M Series A funding to scale its AI security and red-teaming platform, addressing novel attack surfaces in AI systems.
Agentic AI in Cyber Defense: Boosting Blue Teams with Red Team Training
Researchers are leveraging agentic AI red teams to train and improve AI blue team defensive capabilities, addressing a historical offensive bias in AI cybersecurity.
AI-Assisted Vulnerability Management: Operational Guardrails & Risks
Implement robust guardrails for AI-assisted vulnerability management. Learn to safely deploy LLM agents, reduce architectural risks, and prioritize human-led threat…
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Red Teaming & Proactive Security Insights from IBM X-Force Red Founder
Explore the evolution of red teaming and proactive security strategies through the lens of Chris Thompson, founder of IBM X-Force Red.
Autonomous Offensive Security Platforms: Enhancing Proactive Defense
Explore the rise of autonomous offensive security platforms, their role in proactive defense, and what security professionals need to know about these emerging…
Obfuscating Strings in C++ Implants: Detection and Analysis
Analyze how stack strings help malware authors evade static analysis. Explore the assembly-level mechanics and detection strategies for Windows implants.
Microsoft RAMPART and Clarity: Securing AI Agents Against Exploitation
Microsoft open-sources RAMPART and Clarity to provide developers with frameworks for red teaming and observing autonomous AI agents against prompt injection.
Sweet Attack: Using Agentic AI for Continuous Runtime Red Teaming
Sweet Security launches Sweet Attack, using agentic AI and runtime intelligence to provide autonomous attack path analysis and identify exploitable chains.
Operationalizing Purple Teaming: Automating Red and Blue Workflows
An analysis of how manual processes and bureaucratic friction undermine purple teaming, and strategies for better technical integration between security teams.
Autonomous Offensive Security Platforms: XBOW Secures $35M for AI
XBOW secures $35 million in Series C funding to accelerate the development of autonomous offensive security agents and automated vulnerability discovery tools.
AI Red Teaming: Guardrail Manipulation via Jailbreaking and Data Poisoning
Explores AI red teaming methods like jailbreaking and data poisoning used to manipulate AI guardrails and harden machine learning models against adversarial attacks.