Jit, a modern platform redefining product security, has unveiled its latest innovation: a suite of AI-powered agents designed to help AppSec teams tackle security risks at the speed of development. These agents aim to automate tedious, repetitive tasks like creating risk assessments, compliance reports, and threat models—freeing up AppSec professionals to focus on high-impact decision-making. With the rise of AI code-generation tools, developers are deploying code 70% faster than ever before. However, research from Cornell University indicates that 30% of that AI-generated code contains security vulnerabilities. This rapid development pace leaves traditional security teams struggling to keep up. Jit’s AI agents bridge this productivity gap by enabling security teams to prioritize, mitigate, and act faster—without manual bottlenecks.
The Growing Challenge: AppSec in the Age of AI
1. AI-Generated Code Is a Double-Edged Sword
- AI assistants have accelerated development by over 70%, enabling faster product releases.
- But that speed has a price—security flaws are being introduced more quickly than teams can address.
- AppSec teams are overwhelmed with non-remediation work: ticket creation, prioritization, and developer follow-ups.
2. Manual Work Leads to Backlogs
- Context switching and communication with development teams consume hours each week.
- Vulnerabilities remain unpatched, and the attack surface expands across applications and cloud environments.
- The result: slower security cycles, delayed compliance, and increased breach risk.
Jit’s AI Agent Suite: Offloading Work, Speeding Up Security
1. AppSec Agent
- Continuously builds and updates risk assessments and threat models.
- Flags critical risks based on deep application architecture understanding.
- Provides contextual security feedback directly to developers during code reviews.
2. Compliance Agent
- Maps cloud and app environments to specific security standards (e.g., SOC 2, ISO 27001).
- Generates on-demand compliance reports, offering practical recommendations to close compliance gaps.
- Streamlines audit preparation and improves overall regulatory posture.
3. Security Ops Agent
- Automates triage, ticketing, and remediation tracking for vulnerabilities.
- Proactively follows up with developers and communicates risks in business-relevant terms.
- Delivers real-time dashboards and reports to monitor evolving security posture.
Context-Driven Intelligence: Jit’s Competitive Edge
1. Business-Aware Security Automation
- AI agents operate based on business priorities and SLAs.
- Security findings are layered with runtime insights and contextual metadata.
- Example: A vulnerability in a system handling sensitive data will be prioritized over one in a dev sandbox.
2. Company Knowledge Graph
- Synthesizes technical and business data into a single, dynamic view of an organization’s current risk landscape.
- Powers agentic decisions that reflect what matters most to the business, not just generic security rules.
- Enhances trust in automation by ensuring decisions are contextually justified.
Vision for the Future: Augmenting Humans with AI
Jit envisions a new model of product security—humans and AI agents working together to achieve what was previously impossible.
“We’d need an army of AppSec professionals to keep up with the pace of AI-driven development,” said Dudu Yosef, Director of Security at LinearB. “Jit’s approach is exactly what we need to deliver secure code at scale without slowing down.”
This collaboration between human oversight and AI-driven execution means security tasks can be delegated, tracked, and completed faster than ever before—without sacrificing insight, visibility, or quality.
With AI now integral to software development, security platforms must evolve accordingly. Jit’s AI agents are a bold step forward—offering automation where it’s most needed and freeing up AppSec teams to focus on strategic risk reduction. By embedding intelligence into every layer of the product security lifecycle, Jit helps organizations stay secure without slowing innovation.
