4 days ago
Pentera unveils AI web attack testing to boost cyber defences
Pentera has launched AI-powered Web Attack Testing with new features designed to emulate advanced cyber threats and enhance security validation for organisations.
The latest addition introduces AI-driven payload generation and adaptive testing logic, aiming to provide security teams with tools to emulate contemporary threats more effectively. These capabilities are intended to deliver more nuanced and context-aware attack emulation, supporting organisations in validating their defences against increasingly sophisticated, AI-assisted cyberattacks.
Pentera's Chief Product Officer, Ran Tamir, commented on the growing impact of artificial intelligence in the cybersecurity landscape, stating, AI is leveling the playing field, turning even keyboard kiddies into credible threat actors. Leveraging AI, attackers can move faster and with more precision than ever before. With the addition of AI to our adversarial testing arsenal we're giving defenders that same advantage, adapting in real time to new threat patterns and tuning each test with the context needed to uncover what traditional scans miss. We have a strong vision for how AI will permeate throughout the security validation practice, and these additions are only the beginning.
The new capabilities extend Pentera's AI suite, which commenced with the introduction of AI Insight Reporting earlier in the year. Drawing on the experience from that launch, the company is now focusing on the external-facing web attack surface, incorporating AI in several key areas.
AI-driven payload generation
According to Pentera, the system can now generate attack payloads informed by current threat intelligence, allowing for faster emulation of newly discovered attack techniques. By building payloads based on the latest trends, the platform is designed to ensure that testing keeps pace with the evolution of real-world cyberattacks.
PII-aware attack chaining
Another capability highlighted by Pentera is PII-aware attack chaining. The system proactively identifies and extracts exposed Personally Identifiable Information (PII) during testing, automatically leveraging that data within identity threat attack emulations when relevant. This aims to reflect how attackers might exploit such data in actual intrusion attempts.
No language or cultural barriers
Pentera's platform reportedly accommodates variations in language, naming conventions, and terminology across different regions. The company states this enables consistent and accurate attack simulations regardless of regional differences in labelling or structuring of user-facing components. This feature aims to improve the realism and applicability of tests in diverse environments.
System-aware logic
The platform also features system-aware logic within its attack tactics. It can recognise the type of system it is interacting with, attempting the most relevant default credentials based on how authentication is structured in each case. This approach is intended to support more precise and context-driven attack scenarios.
AI security insights reporting
Alongside the AI-based web attack testing, Pentera has also introduced AI-powered security posture reporting specifically for assets exposed externally. These reports analyse historical test data across a selected timeframe, surfacing trends in security posture, regressions, and top remediation priorities.
The AI insights reports are exportable, supporting both technical teams and executives by offering a clear overview of exposure and progress over time. The goal, according to Pentera, is to furnish stakeholders with actionable intelligence to guide security priorities and track the effectiveness of remediation efforts.
Pentera's growing suite of AI tools reflects a broader movement in the cyber defence sector, where rapid advancements in attack automation and adversarial AI present ongoing challenges to enterprise security.
The organisation focuses on supporting security teams by equipping them with assessment and validation functions that align with developments in the threat landscape.
