Optimizing remediation is essential to the success of security programs. This has become increasingly difficult as organizations strive to modernize their processes with innovative technologies, including artificial intelligence (AI). Cyber assets and attack surfaces proliferate as workers become more capable of working together and more quickly, making it challenging for security teams to take the necessary steps to reduce risk.
As companies seek to use agentic AI in fields like software development, we anticipate exponential productivity gains rather than gradual increases, which will increase attack surfaces even more. At the same time, as attackers use AI to scale their attacks, the threat landscape will also change quickly.
Adoption may be slowed by fear and mistrust, but as AI technology advances quickly, trust can be developed over time, giving teams greater confidence to use agentic AI for its advantages to help security teams grow. The respondents also mentioned how they anticipate benefits from AI-backed solutions, such as the ability to view or utilize data that non-AI-backed systems are unable to.
Among them are: Related: AI Assistants That Find Flaws Accept Criticism for Accuracy and Speed Attack surface changes in real time; predictive indicators of compromise; sophisticated threat behavioral patterns; profiles of external threat actors; and code-level analysis for zero-day vulnerabilities Changes in the attack surface in real time Sophisticated behavioral patterns of threats that are predictive of compromise Profiles of external threat actors Analyzing code to find zero-day vulnerabilities Keeping up with increased scale and productivity has been risk management's biggest challenge. The good news is that AI can help with this, as most respondents (95%) agree (54%) or strongly agree (41%) that AI improves discovery speed and accuracy. Additionally, a significant issue with growth and scale has been alert fatigue and prioritization.
