AI as a tool and threat
“Ultimately, MSSPs and MSPs have to accept AI as both a tool and a threat, and they need to leverage it to enhance their own capabilities while being prepared to defend against its misuse.” “The arrival of tools like Xanthorox is about the expansion of enemy forces. MSSPs and MSPs are distinctive to act as client power multipliers in the face of evolving AI-driven threats. According to Slashnext’s Kelley, Xanthorox AI presents Xanthorox AI as a comprehensive all-in-one hacking tool with modular architectures designed to support a wide range of cybercrime operations,” he writes. “From an attacker’s perspective, Xantholox AI hits most of the marks required by a multi-purpose hacking assistant. It handles code generation, vulnerability exploitation, data analysis, integrates audio and image processing, enabling both automatic and interactive attacks.”
A valid claim
This also illustrates the dual nature of AI in cybersecurity. This is both a threat and a protection tool. The development of modular, self-contained systems that support multiple models offline is within the capabilities of current AI technology, making Xanthorox AI AI threat claims plausible. “Even if Xanthorox doesn’t meet all expectations, technology to build something similar will become available and systems will likely be seen soon.” The role of MSSPS to combat such AI-powered threats is to expand its capabilities and knowledge to respond to evolving tools that use the threat. According to J Stephen Kowski, field CTO at Slashnext, service providers are critical in defending such AI-based threats by providing expertise and tools that can detect and respond to attacks across layers, from endpoints and networks to cloud environments.
AI, the role of MSSP, MSP expands
To combat threats like Xanthorox AI, it is important for MSSPs to invest in advanced tools that use machine learning and AI, identify team-specific risks, identify AI-specific risks, such as adversarial attacks and data points, and expand services such as real-time threat hunting and automated response programs. Ellis from Alert.Bugcrowd emphasized that MSSP and MSPS should focus on three areas. Hire more AI specialists to increase your knowledge of AI security, an aggressive AI-powered approach, and new attack vectors. Developing services that specifically address AI-related risks, such as AI-related risks, AI model auditing, and monitoring of AI-enabled attacks. You can also work with industry groups to adopt new standards for AI Security.MSSPS, or to build partnerships with AI vendors and security researchers to inform cyber threats and mitigation strategies, and to promote transparency and accountability in AI deployment.
It is important to ensure quality
Additionally, MSSPs need to ensure the quality of AI vendors that do not prioritize quality and ethics, and avoid AI vendors that do not prioritize quality and ethics. “We can make a big difference by reviewing solutions and promoting solutions that focus on quality and ethics. Endare said it is proposing openness as a vendor that needs to place a greater emphasis on quality and ethics,” said Rob Endell, principal analyst at MSSPALERT.MSSPS.
The need for speed
Speed, including the ability to identify threats and take action more quickly, is key, according to Kris Bondi, co-founder and CEO of security firm Mimoto. “I want to know how malicious activity was committed, but I can’t rely on it as a starting point to protect it from current attacks.” MSSPs and other organizations need to adopt security solutions that can detect and respond to AI threats in real time. Alerts. ”
