Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Github Copilot became the subject of critical security concerns, mainly because of jailbreak vulnerabilities that allow attackers to modify the tool’s behavior. Two attack vectors – Affirmation Jailbreak and Proxy Hijack – lead to malicious code generation and unauthorized access to premium AI models. But that’s not all. Contents hide 1 Jailbreaking GitHub Copilot 1.1 Affirmation jailbreak? “Sure,” let’s exploit the AI system(s) 2 Proxy Hijack.

Today, Cato Networks published the 2025 Cato CTRL Threat Report. It is the inaugural annual threat report from Cato CTRL, the Cato Networks threat intelligence team. The key theme for this year’s report is artificial intelligence (AI), which reflects the current cybersecurity landscape where AI usage is skyrocketing among vendors—and threat actors. Within the report, we examine the security risks associated with LLMs and the increased adoption of AI applications within organizations in 2024.

As AI continues to weave itself into the fabric of everyday business operations, it’s bringing real ethical questions to the forefront—especially around how data is used and protected. With innovation moving fast, tech leaders can’t afford to treat privacy and ethics as afterthoughts. It’s on us to build systems that respect people’s rights from the ground up and to make sure our use of AI reflects the values society expects us to uphold.

With the rapid and dynamic nature of the digital world of today, businesses are seeing a mounting high rate of cybersecurity attacks. Cyber attackers keep evolving and coming up with new methods of breaching their systems, which leaves security teams under immense pressure to identify, assess, and remediate vulnerabilities at scale. Traditional methods of vulnerability management are typically behind the curve because the sheer volume of threats is overwhelming.

My two previous recent postings on AI covered “Agentic AI” and how that impacts cybersecurity and the eventual emergence of malicious agentic AI malware. Both of those articles started to touch on the idea of automated agentic AI defenses. This posting goes into a little more detail on what agentic AI defenses might mean. It starts with agentic AI, which is a collection of automated programs (i.e., bots or agents) working toward a common goal.

Artificial intelligence (AI) is rapidly transforming industries, but with this innovation come new security challenges as threat actors explore AI’s powerful capabilities. They’re adopting new techniques, targeting AI models, injecting malicious code into AI processes, and exploiting vulnerabilities in AI-related software packages.

The largest Java community conference, Devnexus 2025, tackled AI, security, and Java’s role in enterprise development. Read key takeaways for securing applications.