diff --git a/Readme.md b/Readme.md
index 4267b93..78909a2 100644
--- a/Readme.md
+++ b/Readme.md
@@ -83,7 +83,7 @@ agentic_security --port=PORT --host=HOST
## UI đź§™
-
+
## LLM kwargs
@@ -408,10 +408,15 @@ For more detailed information on how to use Agentic Security, including advanced
## Roadmap and Future Goals
-- \[ \] Expand dataset variety
-- \[ \] Introduce two new attack vectors
-- \[ \] Develop initial attacker LLM
-- \[ \] Complete integration of OWASP Top 10 classification
+
+
+We’re just getting started! Here’s what’s on the horizon:
+
+- **RL-Powered Attacks**: An attacker LLM trained with reinforcement learning to dynamically evolve jailbreaks and outsmart defenses.
+- **Massive Dataset Expansion**: Scaling to 100,000+ prompts across text, image, and audio modalities—curated for real-world threats.
+- **Daily Attack Updates**: Fresh attack vectors delivered daily, keeping your scans ahead of the curve.
+- **Community Modules**: A plug-and-play ecosystem where you can share and deploy custom probes, datasets, and integrations.
+
| Tool | Source | Integrated |
|-------------------------|-------------------------------------------------------------------------------|------------|
@@ -439,4 +444,9 @@ Before contributing, please read the contributing guidelines.
Agentic Security is released under the Apache License v2.
+
+## No Cryptocurrency Affiliation
+
+Agentic Security is focused solely on AI security and has no affiliation with cryptocurrency projects, blockchain technologies, or related initiatives. Our mission is to advance the safety and reliability of AI systems—no tokens, no coins, just code.
+
## Contact us
diff --git a/agentic_security/probe_actor/fuzzer.py b/agentic_security/probe_actor/fuzzer.py
index 142bed6..bafaaf3 100644
--- a/agentic_security/probe_actor/fuzzer.py
+++ b/agentic_security/probe_actor/fuzzer.py
@@ -176,6 +176,7 @@ async def perform_single_shot_scan(
module_prompts += 1 # Fixed increment syntax
# Calculate progress based on total processed prompts
progress = 100 * processed_prompts / total_prompts if total_prompts else 0
+ progress = progress % 100
total_tokens -= tokens
start = time.time()
@@ -295,6 +296,7 @@ async def perform_many_shot_scan(
tokens = 0
processed_prompts += 1
progress = 100 * processed_prompts / total_prompts if total_prompts else 0
+ progress = progress % 100
full_prompt = ""
msj_module = random.choice(msj_modules)
diff --git a/agentic_security/static/partials/head.html b/agentic_security/static/partials/head.html
index 36242bc..9807c8f 100644
--- a/agentic_security/static/partials/head.html
+++ b/agentic_security/static/partials/head.html
@@ -19,7 +19,7 @@
technopollas: ['Technopollas', 'sans-serif'],
},
colors: {
- t1: {
+ dark: {
bg: '#0D0D0D', // Jet Black
card: '#1A1A1A', // Dark Carbon Fiber
text: '#FFFFFF',
@@ -30,7 +30,7 @@
yellow: '#2E4053', // Jet Black
},
},
- dark: {
+ dark1: {
bg: '#121212',
card: '#1E1E1E',
text: '#FFFFFF',