Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Sr. Technical Content Strategist The recent attention on OpenClaw brought something we've known for a while at LimaCharlie into sharp focus: Unrestricted AI operations are extremely powerful and incredibly risky. The security challenges presented by AI adoption can rival the productivity gains it delivers. Unrestricted AI agents can read credentials, execute commands, send emails, and make API calls without meaningful oversight.

Identity has become the defining security challenge for organizations navigating SaaS sprawl, AI adoption, and an increasingly distributed workforce.

Web application penetration testing has a reputation for being more complicated than it needs to be, as new testers are often dropped into a sea of tools and terminology with little guidance on how an objective test should flow. The same problem shows up higher up the org chart, with Founders, CTOs, and other technical leaders who regularly receive pentest reports packed with screenshots and acronyms but short on clarity: what actually matters, what can wait, or how serious the risk really is.

Zero-day exploits were among the defining cyber threats of 2025, with high-severity flaws affecting platforms such as React2Shell, Oracle E-Business Suite (EBS), and CitrixBleed 2 highlighting how quickly zero-days can be weaponized and how damaging they can be. To help organizations understand the zero-day threat landscape, Outpost24’s threat intelligence team has compiled a review of the vulnerabilities they encountered in the wild throughout 2025.

Manufacturing is facing a sharp rise in cyber attacks, driven by increased connectivity, IT/OT convergence, and complex supply chains. This blog explores the key threats targeting the sector and explains why proactive, intelligence-led cybersecurity is essential to protect operations and reduce risk.

Artificial intelligence has fundamentally changed how we build software. Generative AI tools help developers write code faster, automate mundane tasks, and solve complex logic problems in seconds. But this speed comes with a hidden cost. When you accelerate development without adjusting your security posture, you inadvertently accelerate risk. Relying on AI-generated code and open-source packages in cloud environments can expose your organization to serious, often silent, vulnerabilities.

Commodity phishing platforms are now a central component of the cybercriminal economy, according to researchers at Flare. These platforms allow threat actors of all skill levels to carry out advanced attacks at scale.

Researchers at Palo Alto Networks’ Unit 42 warn of a proof-of-concept (PoC) attack technique in which threat actors could use AI tools to generate malicious JavaScript in real time on seemingly innocuous webpages. “Once loaded in the victim's browser, the initial webpage makes requests for client-side JavaScript to popular and trusted LLM clients (e.g., DeepSeek and Google Gemini, though the PoC could be effective across a number of models),” the researchers write.

Compliance evidence only works if it reflects the current state of the system. At Aikido, we’ve always treated compliance as a byproduct of good security, not a separate exercise teams need to prepare for. That’s why Aikido integrates with multiple compliance platforms. The goal is simple: let teams use the security data generated in Aikido wherever they run their compliance programs, without changing how they work or maintaining parallel processes.

Web shells remain one of the most potent weapons in an adversary’s arsenal, particularly when targeting Linux servers and containers. These malicious scripts serve as powerful remote access tools with capabilities such as process execution, filesystem access, and tunneling of network connections.